# AS112 ## Get AS112 DNS queries time series `radar.as112.timeseries(AS112TimeseriesParams**kwargs) -> AS112TimeseriesResponse` **get** `/radar/as112/timeseries` Retrieves the AS112 DNS queries over time. ### Parameters - `agg_interval: Optional[Literal["15m", "1h", "1d", "1w"]]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). When omitted, the interval is auto-selected from the requested date range; finer intervals are only available for shorter ranges. If the requested interval is too granular for the date range, the request is rejected. - `"15m"` - `"1h"` - `"1d"` - `"1w"` - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `protocol: Optional[List[Literal["UDP", "TCP", "HTTPS", "TLS"]]]` Filters results by DNS transport protocol. - `"UDP"` - `"TCP"` - `"HTTPS"` - `"TLS"` - `query_type: Optional[List[Optional[Literal["A", "AAAA", "A6", 85 more]]]]` Filters results by DNS query type. - `"A"` - `"AAAA"` - `"A6"` - `"AFSDB"` - `"ANY"` - `"APL"` - `"ATMA"` - `"AXFR"` - `"CAA"` - `"CDNSKEY"` - `"CDS"` - `"CERT"` - `"CNAME"` - `"CSYNC"` - `"DHCID"` - `"DLV"` - `"DNAME"` - `"DNSKEY"` - `"DOA"` - `"DS"` - `"EID"` - `"EUI48"` - `"EUI64"` - `"GPOS"` - `"GID"` - `"HINFO"` - `"HIP"` - `"HTTPS"` - `"IPSECKEY"` - `"ISDN"` - `"IXFR"` - `"KEY"` - `"KX"` - `"L32"` - `"L64"` - `"LOC"` - `"LP"` - `"MAILA"` - `"MAILB"` - `"MB"` - `"MD"` - `"MF"` - `"MG"` - `"MINFO"` - `"MR"` - `"MX"` - `"NAPTR"` - `"NB"` - `"NBSTAT"` - `"NID"` - `"NIMLOC"` - `"NINFO"` - `"NS"` - `"NSAP"` - `"NSEC"` - `"NSEC3"` - `"NSEC3PARAM"` - `"NULL"` - `"NXT"` - `"OPENPGPKEY"` - `"OPT"` - `"PTR"` - `"PX"` - `"RKEY"` - `"RP"` - `"RRSIG"` - `"RT"` - `"SIG"` - `"SINK"` - `"SMIMEA"` - `"SOA"` - `"SPF"` - `"SRV"` - `"SSHFP"` - `"SVCB"` - `"TA"` - `"TALINK"` - `"TKEY"` - `"TLSA"` - `"TSIG"` - `"TXT"` - `"UINFO"` - `"UID"` - `"UNSPEC"` - `"URI"` - `"WKS"` - `"X25"` - `"ZONEMD"` - `response_code: Optional[List[Literal["NOERROR", "FORMERR", "SERVFAIL", 16 more]]]` Filters results by DNS response code. - `"NOERROR"` - `"FORMERR"` - `"SERVFAIL"` - `"NXDOMAIN"` - `"NOTIMP"` - `"REFUSED"` - `"YXDOMAIN"` - `"YXRRSET"` - `"NXRRSET"` - `"NOTAUTH"` - `"NOTZONE"` - `"BADSIG"` - `"BADKEY"` - `"BADTIME"` - `"BADMODE"` - `"BADNAME"` - `"BADALG"` - `"BADTRUNC"` - `"BADCOOKIE"` ### Returns - `class AS112TimeseriesResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.timeseries() print(response.meta) ``` #### Response ```json { "result": { "meta": { "aggInterval": "FIFTEEN_MINUTES", "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] } }, "success": true } ``` ## Get AS112 summary by dimension `radar.as112.summary_v2(Literal["DNSSEC", "EDNS", "IP_VERSION", 3 more]dimension, AS112SummaryV2Params**kwargs) -> AS112SummaryV2Response` **get** `/radar/as112/summary/{dimension}` Retrieves the distribution of AS112 queries by the specified dimension. ### Parameters - `dimension: Literal["DNSSEC", "EDNS", "IP_VERSION", 3 more]` Specifies the attribute by which to group the results. - `"DNSSEC"` - `"EDNS"` - `"IP_VERSION"` - `"PROTOCOL"` - `"QUERY_TYPE"` - `"RESPONSE_CODE"` - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `limit_per_group: Optional[int]` Limits the number of objects per group to the top items within the specified time range. When item count exceeds the limit, extra items appear grouped under an "other" category. Only supported on high-cardinality dimensions; otherwise the request is rejected. Minimum value is 2. - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `protocol: Optional[List[Literal["UDP", "TCP", "HTTPS", "TLS"]]]` Filters results by DNS transport protocol. - `"UDP"` - `"TCP"` - `"HTTPS"` - `"TLS"` - `query_type: Optional[List[Optional[Literal["A", "AAAA", "A6", 85 more]]]]` Filters results by DNS query type. - `"A"` - `"AAAA"` - `"A6"` - `"AFSDB"` - `"ANY"` - `"APL"` - `"ATMA"` - `"AXFR"` - `"CAA"` - `"CDNSKEY"` - `"CDS"` - `"CERT"` - `"CNAME"` - `"CSYNC"` - `"DHCID"` - `"DLV"` - `"DNAME"` - `"DNSKEY"` - `"DOA"` - `"DS"` - `"EID"` - `"EUI48"` - `"EUI64"` - `"GPOS"` - `"GID"` - `"HINFO"` - `"HIP"` - `"HTTPS"` - `"IPSECKEY"` - `"ISDN"` - `"IXFR"` - `"KEY"` - `"KX"` - `"L32"` - `"L64"` - `"LOC"` - `"LP"` - `"MAILA"` - `"MAILB"` - `"MB"` - `"MD"` - `"MF"` - `"MG"` - `"MINFO"` - `"MR"` - `"MX"` - `"NAPTR"` - `"NB"` - `"NBSTAT"` - `"NID"` - `"NIMLOC"` - `"NINFO"` - `"NS"` - `"NSAP"` - `"NSEC"` - `"NSEC3"` - `"NSEC3PARAM"` - `"NULL"` - `"NXT"` - `"OPENPGPKEY"` - `"OPT"` - `"PTR"` - `"PX"` - `"RKEY"` - `"RP"` - `"RRSIG"` - `"RT"` - `"SIG"` - `"SINK"` - `"SMIMEA"` - `"SOA"` - `"SPF"` - `"SRV"` - `"SSHFP"` - `"SVCB"` - `"TA"` - `"TALINK"` - `"TKEY"` - `"TLSA"` - `"TSIG"` - `"TXT"` - `"UINFO"` - `"UID"` - `"UNSPEC"` - `"URI"` - `"WKS"` - `"X25"` - `"ZONEMD"` - `response_code: Optional[List[Literal["NOERROR", "FORMERR", "SERVFAIL", 16 more]]]` Filters results by DNS response code. - `"NOERROR"` - `"FORMERR"` - `"SERVFAIL"` - `"NXDOMAIN"` - `"NOTIMP"` - `"REFUSED"` - `"YXDOMAIN"` - `"YXRRSET"` - `"NXRRSET"` - `"NOTAUTH"` - `"NOTZONE"` - `"BADSIG"` - `"BADKEY"` - `"BADTIME"` - `"BADMODE"` - `"BADNAME"` - `"BADALG"` - `"BADTRUNC"` - `"BADCOOKIE"` ### Returns - `class AS112SummaryV2Response: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Dict[str, str]` ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.summary_v2( dimension="DNSSEC", ) print(response.meta) ``` #### Response ```json { "result": { "meta": { "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "summary_0": { "IPv4": "50.168733", "IPv6": "25.084366" } }, "success": true } ``` ## Get AS112 time series grouped by dimension `radar.as112.timeseries_groups_v2(Literal["DNSSEC", "EDNS", "IP_VERSION", 3 more]dimension, AS112TimeseriesGroupsV2Params**kwargs) -> AS112TimeseriesGroupsV2Response` **get** `/radar/as112/timeseries_groups/{dimension}` Retrieves the distribution of AS112 queries grouped by dimension over time. ### Parameters - `dimension: Literal["DNSSEC", "EDNS", "IP_VERSION", 3 more]` Specifies the attribute by which to group the results. - `"DNSSEC"` - `"EDNS"` - `"IP_VERSION"` - `"PROTOCOL"` - `"QUERY_TYPE"` - `"RESPONSE_CODE"` - `agg_interval: Optional[Literal["15m", "1h", "1d", "1w"]]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). When omitted, the interval is auto-selected from the requested date range; finer intervals are only available for shorter ranges. If the requested interval is too granular for the date range, the request is rejected. - `"15m"` - `"1h"` - `"1d"` - `"1w"` - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `limit_per_group: Optional[int]` Limits the number of objects per group to the top items within the specified time range. When item count exceeds the limit, extra items appear grouped under an "other" category. Only supported on high-cardinality dimensions; otherwise the request is rejected. Minimum value is 2. - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `protocol: Optional[List[Literal["UDP", "TCP", "HTTPS", "TLS"]]]` Filters results by DNS transport protocol. - `"UDP"` - `"TCP"` - `"HTTPS"` - `"TLS"` - `query_type: Optional[List[Optional[Literal["A", "AAAA", "A6", 85 more]]]]` Filters results by DNS query type. - `"A"` - `"AAAA"` - `"A6"` - `"AFSDB"` - `"ANY"` - `"APL"` - `"ATMA"` - `"AXFR"` - `"CAA"` - `"CDNSKEY"` - `"CDS"` - `"CERT"` - `"CNAME"` - `"CSYNC"` - `"DHCID"` - `"DLV"` - `"DNAME"` - `"DNSKEY"` - `"DOA"` - `"DS"` - `"EID"` - `"EUI48"` - `"EUI64"` - `"GPOS"` - `"GID"` - `"HINFO"` - `"HIP"` - `"HTTPS"` - `"IPSECKEY"` - `"ISDN"` - `"IXFR"` - `"KEY"` - `"KX"` - `"L32"` - `"L64"` - `"LOC"` - `"LP"` - `"MAILA"` - `"MAILB"` - `"MB"` - `"MD"` - `"MF"` - `"MG"` - `"MINFO"` - `"MR"` - `"MX"` - `"NAPTR"` - `"NB"` - `"NBSTAT"` - `"NID"` - `"NIMLOC"` - `"NINFO"` - `"NS"` - `"NSAP"` - `"NSEC"` - `"NSEC3"` - `"NSEC3PARAM"` - `"NULL"` - `"NXT"` - `"OPENPGPKEY"` - `"OPT"` - `"PTR"` - `"PX"` - `"RKEY"` - `"RP"` - `"RRSIG"` - `"RT"` - `"SIG"` - `"SINK"` - `"SMIMEA"` - `"SOA"` - `"SPF"` - `"SRV"` - `"SSHFP"` - `"SVCB"` - `"TA"` - `"TALINK"` - `"TKEY"` - `"TLSA"` - `"TSIG"` - `"TXT"` - `"UINFO"` - `"UID"` - `"UNSPEC"` - `"URI"` - `"WKS"` - `"X25"` - `"ZONEMD"` - `response_code: Optional[List[Literal["NOERROR", "FORMERR", "SERVFAIL", 16 more]]]` Filters results by DNS response code. - `"NOERROR"` - `"FORMERR"` - `"SERVFAIL"` - `"NXDOMAIN"` - `"NOTIMP"` - `"REFUSED"` - `"YXDOMAIN"` - `"YXRRSET"` - `"NXRRSET"` - `"NOTAUTH"` - `"NOTZONE"` - `"BADSIG"` - `"BADKEY"` - `"BADTIME"` - `"BADMODE"` - `"BADNAME"` - `"BADALG"` - `"BADTRUNC"` - `"BADCOOKIE"` ### Returns - `class AS112TimeseriesGroupsV2Response: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `timestamps: List[datetime]` ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.timeseries_groups_v2( dimension="DNSSEC", ) print(response.meta) ``` #### Response ```json { "result": { "meta": { "aggInterval": "FIFTEEN_MINUTES", "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "serie_0": { "timestamps": [ "2023-08-08T10:15:00Z" ] } }, "success": true } ``` ## Domain Types ### AS112 Timeseries Response - `class AS112TimeseriesResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` ### AS112 Summary V2 Response - `class AS112SummaryV2Response: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Dict[str, str]` ### AS112 Timeseries Groups V2 Response - `class AS112TimeseriesGroupsV2Response: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `timestamps: List[datetime]` # Summary ## Get AS112 DNS queries by DNSSEC summary `radar.as112.summary.dnssec(SummaryDNSSECParams**kwargs) -> SummaryDNSSECResponse` **get** `/radar/as112/summary/dnssec` Retrieves the distribution of DNS queries to AS112 by DNSSEC (DNS Security Extensions) support. ### Parameters - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `protocol: Optional[List[Literal["UDP", "TCP", "HTTPS", "TLS"]]]` Filters results by DNS transport protocol. - `"UDP"` - `"TCP"` - `"HTTPS"` - `"TLS"` - `query_type: Optional[List[Optional[Literal["A", "AAAA", "A6", 85 more]]]]` Filters results by DNS query type. - `"A"` - `"AAAA"` - `"A6"` - `"AFSDB"` - `"ANY"` - `"APL"` - `"ATMA"` - `"AXFR"` - `"CAA"` - `"CDNSKEY"` - `"CDS"` - `"CERT"` - `"CNAME"` - `"CSYNC"` - `"DHCID"` - `"DLV"` - `"DNAME"` - `"DNSKEY"` - `"DOA"` - `"DS"` - `"EID"` - `"EUI48"` - `"EUI64"` - `"GPOS"` - `"GID"` - `"HINFO"` - `"HIP"` - `"HTTPS"` - `"IPSECKEY"` - `"ISDN"` - `"IXFR"` - `"KEY"` - `"KX"` - `"L32"` - `"L64"` - `"LOC"` - `"LP"` - `"MAILA"` - `"MAILB"` - `"MB"` - `"MD"` - `"MF"` - `"MG"` - `"MINFO"` - `"MR"` - `"MX"` - `"NAPTR"` - `"NB"` - `"NBSTAT"` - `"NID"` - `"NIMLOC"` - `"NINFO"` - `"NS"` - `"NSAP"` - `"NSEC"` - `"NSEC3"` - `"NSEC3PARAM"` - `"NULL"` - `"NXT"` - `"OPENPGPKEY"` - `"OPT"` - `"PTR"` - `"PX"` - `"RKEY"` - `"RP"` - `"RRSIG"` - `"RT"` - `"SIG"` - `"SINK"` - `"SMIMEA"` - `"SOA"` - `"SPF"` - `"SRV"` - `"SSHFP"` - `"SVCB"` - `"TA"` - `"TALINK"` - `"TKEY"` - `"TLSA"` - `"TSIG"` - `"TXT"` - `"UINFO"` - `"UID"` - `"UNSPEC"` - `"URI"` - `"WKS"` - `"X25"` - `"ZONEMD"` - `response_code: Optional[List[Literal["NOERROR", "FORMERR", "SERVFAIL", 16 more]]]` Filters results by DNS response code. - `"NOERROR"` - `"FORMERR"` - `"SERVFAIL"` - `"NXDOMAIN"` - `"NOTIMP"` - `"REFUSED"` - `"YXDOMAIN"` - `"YXRRSET"` - `"NXRRSET"` - `"NOTAUTH"` - `"NOTZONE"` - `"BADSIG"` - `"BADKEY"` - `"BADTIME"` - `"BADMODE"` - `"BADNAME"` - `"BADALG"` - `"BADTRUNC"` - `"BADCOOKIE"` ### Returns - `class SummaryDNSSECResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Summary0` - `not_supported: str` A numeric string. - `supported: str` A numeric string. ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.summary.dnssec() print(response.meta) ``` #### Response ```json { "result": { "meta": { "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "summary_0": { "NOT_SUPPORTED": "10", "SUPPORTED": "10" } }, "success": true } ``` ## Get AS112 DNS queries by EDNS summary `radar.as112.summary.edns(SummaryEdnsParams**kwargs) -> SummaryEdnsResponse` **get** `/radar/as112/summary/edns` Retrieves the distribution of DNS queries to AS112 by EDNS (Extension Mechanisms for DNS) support. ### Parameters - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `protocol: Optional[List[Literal["UDP", "TCP", "HTTPS", "TLS"]]]` Filters results by DNS transport protocol. - `"UDP"` - `"TCP"` - `"HTTPS"` - `"TLS"` - `query_type: Optional[List[Optional[Literal["A", "AAAA", "A6", 85 more]]]]` Filters results by DNS query type. - `"A"` - `"AAAA"` - `"A6"` - `"AFSDB"` - `"ANY"` - `"APL"` - `"ATMA"` - `"AXFR"` - `"CAA"` - `"CDNSKEY"` - `"CDS"` - `"CERT"` - `"CNAME"` - `"CSYNC"` - `"DHCID"` - `"DLV"` - `"DNAME"` - `"DNSKEY"` - `"DOA"` - `"DS"` - `"EID"` - `"EUI48"` - `"EUI64"` - `"GPOS"` - `"GID"` - `"HINFO"` - `"HIP"` - `"HTTPS"` - `"IPSECKEY"` - `"ISDN"` - `"IXFR"` - `"KEY"` - `"KX"` - `"L32"` - `"L64"` - `"LOC"` - `"LP"` - `"MAILA"` - `"MAILB"` - `"MB"` - `"MD"` - `"MF"` - `"MG"` - `"MINFO"` - `"MR"` - `"MX"` - `"NAPTR"` - `"NB"` - `"NBSTAT"` - `"NID"` - `"NIMLOC"` - `"NINFO"` - `"NS"` - `"NSAP"` - `"NSEC"` - `"NSEC3"` - `"NSEC3PARAM"` - `"NULL"` - `"NXT"` - `"OPENPGPKEY"` - `"OPT"` - `"PTR"` - `"PX"` - `"RKEY"` - `"RP"` - `"RRSIG"` - `"RT"` - `"SIG"` - `"SINK"` - `"SMIMEA"` - `"SOA"` - `"SPF"` - `"SRV"` - `"SSHFP"` - `"SVCB"` - `"TA"` - `"TALINK"` - `"TKEY"` - `"TLSA"` - `"TSIG"` - `"TXT"` - `"UINFO"` - `"UID"` - `"UNSPEC"` - `"URI"` - `"WKS"` - `"X25"` - `"ZONEMD"` - `response_code: Optional[List[Literal["NOERROR", "FORMERR", "SERVFAIL", 16 more]]]` Filters results by DNS response code. - `"NOERROR"` - `"FORMERR"` - `"SERVFAIL"` - `"NXDOMAIN"` - `"NOTIMP"` - `"REFUSED"` - `"YXDOMAIN"` - `"YXRRSET"` - `"NXRRSET"` - `"NOTAUTH"` - `"NOTZONE"` - `"BADSIG"` - `"BADKEY"` - `"BADTIME"` - `"BADMODE"` - `"BADNAME"` - `"BADALG"` - `"BADTRUNC"` - `"BADCOOKIE"` ### Returns - `class SummaryEdnsResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Summary0` - `not_supported: str` A numeric string. - `supported: str` A numeric string. ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.summary.edns() print(response.meta) ``` #### Response ```json { "result": { "meta": { "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "summary_0": { "NOT_SUPPORTED": "10", "SUPPORTED": "10" } }, "success": true } ``` ## Get AS112 DNS queries by IP version summary `radar.as112.summary.ip_version(SummaryIPVersionParams**kwargs) -> SummaryIPVersionResponse` **get** `/radar/as112/summary/ip_version` Retrieves the distribution of DNS queries to AS112 by IP version. ### Parameters - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `protocol: Optional[List[Literal["UDP", "TCP", "HTTPS", "TLS"]]]` Filters results by DNS transport protocol. - `"UDP"` - `"TCP"` - `"HTTPS"` - `"TLS"` - `query_type: Optional[List[Optional[Literal["A", "AAAA", "A6", 85 more]]]]` Filters results by DNS query type. - `"A"` - `"AAAA"` - `"A6"` - `"AFSDB"` - `"ANY"` - `"APL"` - `"ATMA"` - `"AXFR"` - `"CAA"` - `"CDNSKEY"` - `"CDS"` - `"CERT"` - `"CNAME"` - `"CSYNC"` - `"DHCID"` - `"DLV"` - `"DNAME"` - `"DNSKEY"` - `"DOA"` - `"DS"` - `"EID"` - `"EUI48"` - `"EUI64"` - `"GPOS"` - `"GID"` - `"HINFO"` - `"HIP"` - `"HTTPS"` - `"IPSECKEY"` - `"ISDN"` - `"IXFR"` - `"KEY"` - `"KX"` - `"L32"` - `"L64"` - `"LOC"` - `"LP"` - `"MAILA"` - `"MAILB"` - `"MB"` - `"MD"` - `"MF"` - `"MG"` - `"MINFO"` - `"MR"` - `"MX"` - `"NAPTR"` - `"NB"` - `"NBSTAT"` - `"NID"` - `"NIMLOC"` - `"NINFO"` - `"NS"` - `"NSAP"` - `"NSEC"` - `"NSEC3"` - `"NSEC3PARAM"` - `"NULL"` - `"NXT"` - `"OPENPGPKEY"` - `"OPT"` - `"PTR"` - `"PX"` - `"RKEY"` - `"RP"` - `"RRSIG"` - `"RT"` - `"SIG"` - `"SINK"` - `"SMIMEA"` - `"SOA"` - `"SPF"` - `"SRV"` - `"SSHFP"` - `"SVCB"` - `"TA"` - `"TALINK"` - `"TKEY"` - `"TLSA"` - `"TSIG"` - `"TXT"` - `"UINFO"` - `"UID"` - `"UNSPEC"` - `"URI"` - `"WKS"` - `"X25"` - `"ZONEMD"` - `response_code: Optional[List[Literal["NOERROR", "FORMERR", "SERVFAIL", 16 more]]]` Filters results by DNS response code. - `"NOERROR"` - `"FORMERR"` - `"SERVFAIL"` - `"NXDOMAIN"` - `"NOTIMP"` - `"REFUSED"` - `"YXDOMAIN"` - `"YXRRSET"` - `"NXRRSET"` - `"NOTAUTH"` - `"NOTZONE"` - `"BADSIG"` - `"BADKEY"` - `"BADTIME"` - `"BADMODE"` - `"BADNAME"` - `"BADALG"` - `"BADTRUNC"` - `"BADCOOKIE"` ### Returns - `class SummaryIPVersionResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Summary0` - `i_pv4: str` A numeric string. - `i_pv6: str` A numeric string. ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.summary.ip_version() print(response.meta) ``` #### Response ```json { "result": { "meta": { "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "summary_0": { "IPv4": "10", "IPv6": "10" } }, "success": true } ``` ## Get AS112 DNS queries by DNS protocol summary `radar.as112.summary.protocol(SummaryProtocolParams**kwargs) -> SummaryProtocolResponse` **get** `/radar/as112/summary/protocol` Retrieves the distribution of DNS queries to AS112 by protocol. ### Parameters - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `query_type: Optional[List[Optional[Literal["A", "AAAA", "A6", 85 more]]]]` Filters results by DNS query type. - `"A"` - `"AAAA"` - `"A6"` - `"AFSDB"` - `"ANY"` - `"APL"` - `"ATMA"` - `"AXFR"` - `"CAA"` - `"CDNSKEY"` - `"CDS"` - `"CERT"` - `"CNAME"` - `"CSYNC"` - `"DHCID"` - `"DLV"` - `"DNAME"` - `"DNSKEY"` - `"DOA"` - `"DS"` - `"EID"` - `"EUI48"` - `"EUI64"` - `"GPOS"` - `"GID"` - `"HINFO"` - `"HIP"` - `"HTTPS"` - `"IPSECKEY"` - `"ISDN"` - `"IXFR"` - `"KEY"` - `"KX"` - `"L32"` - `"L64"` - `"LOC"` - `"LP"` - `"MAILA"` - `"MAILB"` - `"MB"` - `"MD"` - `"MF"` - `"MG"` - `"MINFO"` - `"MR"` - `"MX"` - `"NAPTR"` - `"NB"` - `"NBSTAT"` - `"NID"` - `"NIMLOC"` - `"NINFO"` - `"NS"` - `"NSAP"` - `"NSEC"` - `"NSEC3"` - `"NSEC3PARAM"` - `"NULL"` - `"NXT"` - `"OPENPGPKEY"` - `"OPT"` - `"PTR"` - `"PX"` - `"RKEY"` - `"RP"` - `"RRSIG"` - `"RT"` - `"SIG"` - `"SINK"` - `"SMIMEA"` - `"SOA"` - `"SPF"` - `"SRV"` - `"SSHFP"` - `"SVCB"` - `"TA"` - `"TALINK"` - `"TKEY"` - `"TLSA"` - `"TSIG"` - `"TXT"` - `"UINFO"` - `"UID"` - `"UNSPEC"` - `"URI"` - `"WKS"` - `"X25"` - `"ZONEMD"` - `response_code: Optional[List[Literal["NOERROR", "FORMERR", "SERVFAIL", 16 more]]]` Filters results by DNS response code. - `"NOERROR"` - `"FORMERR"` - `"SERVFAIL"` - `"NXDOMAIN"` - `"NOTIMP"` - `"REFUSED"` - `"YXDOMAIN"` - `"YXRRSET"` - `"NXRRSET"` - `"NOTAUTH"` - `"NOTZONE"` - `"BADSIG"` - `"BADKEY"` - `"BADTIME"` - `"BADMODE"` - `"BADNAME"` - `"BADALG"` - `"BADTRUNC"` - `"BADCOOKIE"` ### Returns - `class SummaryProtocolResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Summary0` - `https: str` A numeric string. - `tcp: str` A numeric string. - `tls: str` A numeric string. - `udp: str` A numeric string. ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.summary.protocol() print(response.meta) ``` #### Response ```json { "result": { "meta": { "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "summary_0": { "HTTPS": "10", "TCP": "10", "TLS": "10", "UDP": "10" } }, "success": true } ``` ## Get AS112 DNS queries by type summary `radar.as112.summary.query_type(SummaryQueryTypeParams**kwargs) -> SummaryQueryTypeResponse` **get** `/radar/as112/summary/query_type` Retrieves the distribution of DNS queries to AS112 by type. ### Parameters - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `limit_per_group: Optional[int]` Limits the number of objects per group to the top items within the specified time range. When item count exceeds the limit, extra items appear grouped under an "other" category. Only supported on high-cardinality dimensions; otherwise the request is rejected. Minimum value is 2. - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `protocol: Optional[List[Literal["UDP", "TCP", "HTTPS", "TLS"]]]` Filters results by DNS transport protocol. - `"UDP"` - `"TCP"` - `"HTTPS"` - `"TLS"` - `response_code: Optional[List[Literal["NOERROR", "FORMERR", "SERVFAIL", 16 more]]]` Filters results by DNS response code. - `"NOERROR"` - `"FORMERR"` - `"SERVFAIL"` - `"NXDOMAIN"` - `"NOTIMP"` - `"REFUSED"` - `"YXDOMAIN"` - `"YXRRSET"` - `"NXRRSET"` - `"NOTAUTH"` - `"NOTZONE"` - `"BADSIG"` - `"BADKEY"` - `"BADTIME"` - `"BADMODE"` - `"BADNAME"` - `"BADALG"` - `"BADTRUNC"` - `"BADCOOKIE"` ### Returns - `class SummaryQueryTypeResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Dict[str, str]` ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.summary.query_type() print(response.meta) ``` #### Response ```json { "result": { "meta": { "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "summary_0": { "A": "19", "AAAA": "1", "PTR": "74", "SOA": "5", "SRV": "1" } }, "success": true } ``` ## Get AS112 DNS queries by response code summary `radar.as112.summary.response_codes(SummaryResponseCodesParams**kwargs) -> SummaryResponseCodesResponse` **get** `/radar/as112/summary/response_codes` Retrieves the distribution of AS112 DNS requests classified by response code. ### Parameters - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `limit_per_group: Optional[int]` Limits the number of objects per group to the top items within the specified time range. When item count exceeds the limit, extra items appear grouped under an "other" category. Only supported on high-cardinality dimensions; otherwise the request is rejected. Minimum value is 2. - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `protocol: Optional[List[Literal["UDP", "TCP", "HTTPS", "TLS"]]]` Filters results by DNS transport protocol. - `"UDP"` - `"TCP"` - `"HTTPS"` - `"TLS"` - `query_type: Optional[List[Optional[Literal["A", "AAAA", "A6", 85 more]]]]` Filters results by DNS query type. - `"A"` - `"AAAA"` - `"A6"` - `"AFSDB"` - `"ANY"` - `"APL"` - `"ATMA"` - `"AXFR"` - `"CAA"` - `"CDNSKEY"` - `"CDS"` - `"CERT"` - `"CNAME"` - `"CSYNC"` - `"DHCID"` - `"DLV"` - `"DNAME"` - `"DNSKEY"` - `"DOA"` - `"DS"` - `"EID"` - `"EUI48"` - `"EUI64"` - `"GPOS"` - `"GID"` - `"HINFO"` - `"HIP"` - `"HTTPS"` - `"IPSECKEY"` - `"ISDN"` - `"IXFR"` - `"KEY"` - `"KX"` - `"L32"` - `"L64"` - `"LOC"` - `"LP"` - `"MAILA"` - `"MAILB"` - `"MB"` - `"MD"` - `"MF"` - `"MG"` - `"MINFO"` - `"MR"` - `"MX"` - `"NAPTR"` - `"NB"` - `"NBSTAT"` - `"NID"` - `"NIMLOC"` - `"NINFO"` - `"NS"` - `"NSAP"` - `"NSEC"` - `"NSEC3"` - `"NSEC3PARAM"` - `"NULL"` - `"NXT"` - `"OPENPGPKEY"` - `"OPT"` - `"PTR"` - `"PX"` - `"RKEY"` - `"RP"` - `"RRSIG"` - `"RT"` - `"SIG"` - `"SINK"` - `"SMIMEA"` - `"SOA"` - `"SPF"` - `"SRV"` - `"SSHFP"` - `"SVCB"` - `"TA"` - `"TALINK"` - `"TKEY"` - `"TLSA"` - `"TSIG"` - `"TXT"` - `"UINFO"` - `"UID"` - `"UNSPEC"` - `"URI"` - `"WKS"` - `"X25"` - `"ZONEMD"` ### Returns - `class SummaryResponseCodesResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Dict[str, str]` ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.summary.response_codes() print(response.meta) ``` #### Response ```json { "result": { "meta": { "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "summary_0": { "NOERROR": "70", "NOTIMP": "5", "NXDOMAIN": "10", "REFUSED": "5", "SERVFAIL": "5" } }, "success": true } ``` ## Domain Types ### Summary DNSSEC Response - `class SummaryDNSSECResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Summary0` - `not_supported: str` A numeric string. - `supported: str` A numeric string. ### Summary Edns Response - `class SummaryEdnsResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Summary0` - `not_supported: str` A numeric string. - `supported: str` A numeric string. ### Summary IP Version Response - `class SummaryIPVersionResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Summary0` - `i_pv4: str` A numeric string. - `i_pv6: str` A numeric string. ### Summary Protocol Response - `class SummaryProtocolResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Summary0` - `https: str` A numeric string. - `tcp: str` A numeric string. - `tls: str` A numeric string. - `udp: str` A numeric string. ### Summary Query Type Response - `class SummaryQueryTypeResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Dict[str, str]` ### Summary Response Codes Response - `class SummaryResponseCodesResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `summary_0: Dict[str, str]` # Timeseries Groups ## Get AS112 DNS queries by DNS protocol time series `radar.as112.timeseries_groups.protocol(TimeseriesGroupProtocolParams**kwargs) -> TimeseriesGroupProtocolResponse` **get** `/radar/as112/timeseries_groups/protocol` Retrieves the distribution of AS112 DNS requests classified by protocol over time. ### Parameters - `agg_interval: Optional[Literal["15m", "1h", "1d", "1w"]]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). When omitted, the interval is auto-selected from the requested date range; finer intervals are only available for shorter ranges. If the requested interval is too granular for the date range, the request is rejected. - `"15m"` - `"1h"` - `"1d"` - `"1w"` - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `query_type: Optional[List[Optional[Literal["A", "AAAA", "A6", 85 more]]]]` Filters results by DNS query type. - `"A"` - `"AAAA"` - `"A6"` - `"AFSDB"` - `"ANY"` - `"APL"` - `"ATMA"` - `"AXFR"` - `"CAA"` - `"CDNSKEY"` - `"CDS"` - `"CERT"` - `"CNAME"` - `"CSYNC"` - `"DHCID"` - `"DLV"` - `"DNAME"` - `"DNSKEY"` - `"DOA"` - `"DS"` - `"EID"` - `"EUI48"` - `"EUI64"` - `"GPOS"` - `"GID"` - `"HINFO"` - `"HIP"` - `"HTTPS"` - `"IPSECKEY"` - `"ISDN"` - `"IXFR"` - `"KEY"` - `"KX"` - `"L32"` - `"L64"` - `"LOC"` - `"LP"` - `"MAILA"` - `"MAILB"` - `"MB"` - `"MD"` - `"MF"` - `"MG"` - `"MINFO"` - `"MR"` - `"MX"` - `"NAPTR"` - `"NB"` - `"NBSTAT"` - `"NID"` - `"NIMLOC"` - `"NINFO"` - `"NS"` - `"NSAP"` - `"NSEC"` - `"NSEC3"` - `"NSEC3PARAM"` - `"NULL"` - `"NXT"` - `"OPENPGPKEY"` - `"OPT"` - `"PTR"` - `"PX"` - `"RKEY"` - `"RP"` - `"RRSIG"` - `"RT"` - `"SIG"` - `"SINK"` - `"SMIMEA"` - `"SOA"` - `"SPF"` - `"SRV"` - `"SSHFP"` - `"SVCB"` - `"TA"` - `"TALINK"` - `"TKEY"` - `"TLSA"` - `"TSIG"` - `"TXT"` - `"UINFO"` - `"UID"` - `"UNSPEC"` - `"URI"` - `"WKS"` - `"X25"` - `"ZONEMD"` - `response_code: Optional[List[Literal["NOERROR", "FORMERR", "SERVFAIL", 16 more]]]` Filters results by DNS response code. - `"NOERROR"` - `"FORMERR"` - `"SERVFAIL"` - `"NXDOMAIN"` - `"NOTIMP"` - `"REFUSED"` - `"YXDOMAIN"` - `"YXRRSET"` - `"NXRRSET"` - `"NOTAUTH"` - `"NOTZONE"` - `"BADSIG"` - `"BADKEY"` - `"BADTIME"` - `"BADMODE"` - `"BADNAME"` - `"BADALG"` - `"BADTRUNC"` - `"BADCOOKIE"` ### Returns - `class TimeseriesGroupProtocolResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `https: List[str]` - `tcp: List[str]` - `tls: List[str]` - `udp: List[str]` ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.timeseries_groups.protocol() print(response.meta) ``` #### Response ```json { "result": { "meta": { "aggInterval": "FIFTEEN_MINUTES", "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "serie_0": { "HTTPS": [ "10" ], "TCP": [ "10" ], "TLS": [ "10" ], "UDP": [ "10" ] } }, "success": true } ``` ## Get AS112 DNS queries by type time series `radar.as112.timeseries_groups.query_type(TimeseriesGroupQueryTypeParams**kwargs) -> TimeseriesGroupQueryTypeResponse` **get** `/radar/as112/timeseries_groups/query_type` Retrieves the distribution of AS112 DNS queries by type over time. ### Parameters - `agg_interval: Optional[Literal["15m", "1h", "1d", "1w"]]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). When omitted, the interval is auto-selected from the requested date range; finer intervals are only available for shorter ranges. If the requested interval is too granular for the date range, the request is rejected. - `"15m"` - `"1h"` - `"1d"` - `"1w"` - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `limit_per_group: Optional[int]` Limits the number of objects per group to the top items within the specified time range. When item count exceeds the limit, extra items appear grouped under an "other" category. Only supported on high-cardinality dimensions; otherwise the request is rejected. Minimum value is 2. - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `protocol: Optional[List[Literal["UDP", "TCP", "HTTPS", "TLS"]]]` Filters results by DNS transport protocol. - `"UDP"` - `"TCP"` - `"HTTPS"` - `"TLS"` - `response_code: Optional[List[Literal["NOERROR", "FORMERR", "SERVFAIL", 16 more]]]` Filters results by DNS response code. - `"NOERROR"` - `"FORMERR"` - `"SERVFAIL"` - `"NXDOMAIN"` - `"NOTIMP"` - `"REFUSED"` - `"YXDOMAIN"` - `"YXRRSET"` - `"NXRRSET"` - `"NOTAUTH"` - `"NOTZONE"` - `"BADSIG"` - `"BADKEY"` - `"BADTIME"` - `"BADMODE"` - `"BADNAME"` - `"BADALG"` - `"BADTRUNC"` - `"BADCOOKIE"` ### Returns - `class TimeseriesGroupQueryTypeResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `timestamps: List[datetime]` ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.timeseries_groups.query_type() print(response.meta) ``` #### Response ```json { "result": { "meta": { "aggInterval": "FIFTEEN_MINUTES", "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "serie_0": { "timestamps": [ "2023-08-08T10:15:00Z" ] } }, "success": true } ``` ## Get AS112 DNS queries by response code time series `radar.as112.timeseries_groups.response_codes(TimeseriesGroupResponseCodesParams**kwargs) -> TimeseriesGroupResponseCodesResponse` **get** `/radar/as112/timeseries_groups/response_codes` Retrieves the distribution of AS112 DNS requests classified by response code over time. ### Parameters - `agg_interval: Optional[Literal["15m", "1h", "1d", "1w"]]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). When omitted, the interval is auto-selected from the requested date range; finer intervals are only available for shorter ranges. If the requested interval is too granular for the date range, the request is rejected. - `"15m"` - `"1h"` - `"1d"` - `"1w"` - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `limit_per_group: Optional[int]` Limits the number of objects per group to the top items within the specified time range. When item count exceeds the limit, extra items appear grouped under an "other" category. Only supported on high-cardinality dimensions; otherwise the request is rejected. Minimum value is 2. - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `protocol: Optional[List[Literal["UDP", "TCP", "HTTPS", "TLS"]]]` Filters results by DNS transport protocol. - `"UDP"` - `"TCP"` - `"HTTPS"` - `"TLS"` - `query_type: Optional[List[Optional[Literal["A", "AAAA", "A6", 85 more]]]]` Filters results by DNS query type. - `"A"` - `"AAAA"` - `"A6"` - `"AFSDB"` - `"ANY"` - `"APL"` - `"ATMA"` - `"AXFR"` - `"CAA"` - `"CDNSKEY"` - `"CDS"` - `"CERT"` - `"CNAME"` - `"CSYNC"` - `"DHCID"` - `"DLV"` - `"DNAME"` - `"DNSKEY"` - `"DOA"` - `"DS"` - `"EID"` - `"EUI48"` - `"EUI64"` - `"GPOS"` - `"GID"` - `"HINFO"` - `"HIP"` - `"HTTPS"` - `"IPSECKEY"` - `"ISDN"` - `"IXFR"` - `"KEY"` - `"KX"` - `"L32"` - `"L64"` - `"LOC"` - `"LP"` - `"MAILA"` - `"MAILB"` - `"MB"` - `"MD"` - `"MF"` - `"MG"` - `"MINFO"` - `"MR"` - `"MX"` - `"NAPTR"` - `"NB"` - `"NBSTAT"` - `"NID"` - `"NIMLOC"` - `"NINFO"` - `"NS"` - `"NSAP"` - `"NSEC"` - `"NSEC3"` - `"NSEC3PARAM"` - `"NULL"` - `"NXT"` - `"OPENPGPKEY"` - `"OPT"` - `"PTR"` - `"PX"` - `"RKEY"` - `"RP"` - `"RRSIG"` - `"RT"` - `"SIG"` - `"SINK"` - `"SMIMEA"` - `"SOA"` - `"SPF"` - `"SRV"` - `"SSHFP"` - `"SVCB"` - `"TA"` - `"TALINK"` - `"TKEY"` - `"TLSA"` - `"TSIG"` - `"TXT"` - `"UINFO"` - `"UID"` - `"UNSPEC"` - `"URI"` - `"WKS"` - `"X25"` - `"ZONEMD"` ### Returns - `class TimeseriesGroupResponseCodesResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `timestamps: List[datetime]` ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.timeseries_groups.response_codes() print(response.meta) ``` #### Response ```json { "result": { "meta": { "aggInterval": "FIFTEEN_MINUTES", "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "serie_0": { "timestamps": [ "2023-08-08T10:15:00Z" ] } }, "success": true } ``` ## Get AS112 DNS queries by DNSSEC support time series `radar.as112.timeseries_groups.dnssec(TimeseriesGroupDNSSECParams**kwargs) -> TimeseriesGroupDNSSECResponse` **get** `/radar/as112/timeseries_groups/dnssec` Retrieves the distribution of AS112 DNS queries by DNSSEC (DNS Security Extensions) support over time. ### Parameters - `agg_interval: Optional[Literal["15m", "1h", "1d", "1w"]]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). When omitted, the interval is auto-selected from the requested date range; finer intervals are only available for shorter ranges. If the requested interval is too granular for the date range, the request is rejected. - `"15m"` - `"1h"` - `"1d"` - `"1w"` - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `protocol: Optional[List[Literal["UDP", "TCP", "HTTPS", "TLS"]]]` Filters results by DNS transport protocol. - `"UDP"` - `"TCP"` - `"HTTPS"` - `"TLS"` - `query_type: Optional[List[Optional[Literal["A", "AAAA", "A6", 85 more]]]]` Filters results by DNS query type. - `"A"` - `"AAAA"` - `"A6"` - `"AFSDB"` - `"ANY"` - `"APL"` - `"ATMA"` - `"AXFR"` - `"CAA"` - `"CDNSKEY"` - `"CDS"` - `"CERT"` - `"CNAME"` - `"CSYNC"` - `"DHCID"` - `"DLV"` - `"DNAME"` - `"DNSKEY"` - `"DOA"` - `"DS"` - `"EID"` - `"EUI48"` - `"EUI64"` - `"GPOS"` - `"GID"` - `"HINFO"` - `"HIP"` - `"HTTPS"` - `"IPSECKEY"` - `"ISDN"` - `"IXFR"` - `"KEY"` - `"KX"` - `"L32"` - `"L64"` - `"LOC"` - `"LP"` - `"MAILA"` - `"MAILB"` - `"MB"` - `"MD"` - `"MF"` - `"MG"` - `"MINFO"` - `"MR"` - `"MX"` - `"NAPTR"` - `"NB"` - `"NBSTAT"` - `"NID"` - `"NIMLOC"` - `"NINFO"` - `"NS"` - `"NSAP"` - `"NSEC"` - `"NSEC3"` - `"NSEC3PARAM"` - `"NULL"` - `"NXT"` - `"OPENPGPKEY"` - `"OPT"` - `"PTR"` - `"PX"` - `"RKEY"` - `"RP"` - `"RRSIG"` - `"RT"` - `"SIG"` - `"SINK"` - `"SMIMEA"` - `"SOA"` - `"SPF"` - `"SRV"` - `"SSHFP"` - `"SVCB"` - `"TA"` - `"TALINK"` - `"TKEY"` - `"TLSA"` - `"TSIG"` - `"TXT"` - `"UINFO"` - `"UID"` - `"UNSPEC"` - `"URI"` - `"WKS"` - `"X25"` - `"ZONEMD"` - `response_code: Optional[List[Literal["NOERROR", "FORMERR", "SERVFAIL", 16 more]]]` Filters results by DNS response code. - `"NOERROR"` - `"FORMERR"` - `"SERVFAIL"` - `"NXDOMAIN"` - `"NOTIMP"` - `"REFUSED"` - `"YXDOMAIN"` - `"YXRRSET"` - `"NXRRSET"` - `"NOTAUTH"` - `"NOTZONE"` - `"BADSIG"` - `"BADKEY"` - `"BADTIME"` - `"BADMODE"` - `"BADNAME"` - `"BADALG"` - `"BADTRUNC"` - `"BADCOOKIE"` ### Returns - `class TimeseriesGroupDNSSECResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `not_supported: List[str]` - `supported: List[str]` ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.timeseries_groups.dnssec() print(response.meta) ``` #### Response ```json { "result": { "meta": { "aggInterval": "FIFTEEN_MINUTES", "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "serie_0": { "NOT_SUPPORTED": [ "10" ], "SUPPORTED": [ "10" ] } }, "success": true } ``` ## Get AS112 DNS queries by EDNS support summary `radar.as112.timeseries_groups.edns(TimeseriesGroupEdnsParams**kwargs) -> TimeseriesGroupEdnsResponse` **get** `/radar/as112/timeseries_groups/edns` Retrieves the distribution of AS112 DNS queries by EDNS (Extension Mechanisms for DNS) support over time. ### Parameters - `agg_interval: Optional[Literal["15m", "1h", "1d", "1w"]]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). When omitted, the interval is auto-selected from the requested date range; finer intervals are only available for shorter ranges. If the requested interval is too granular for the date range, the request is rejected. - `"15m"` - `"1h"` - `"1d"` - `"1w"` - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `protocol: Optional[List[Literal["UDP", "TCP", "HTTPS", "TLS"]]]` Filters results by DNS transport protocol. - `"UDP"` - `"TCP"` - `"HTTPS"` - `"TLS"` - `query_type: Optional[List[Optional[Literal["A", "AAAA", "A6", 85 more]]]]` Filters results by DNS query type. - `"A"` - `"AAAA"` - `"A6"` - `"AFSDB"` - `"ANY"` - `"APL"` - `"ATMA"` - `"AXFR"` - `"CAA"` - `"CDNSKEY"` - `"CDS"` - `"CERT"` - `"CNAME"` - `"CSYNC"` - `"DHCID"` - `"DLV"` - `"DNAME"` - `"DNSKEY"` - `"DOA"` - `"DS"` - `"EID"` - `"EUI48"` - `"EUI64"` - `"GPOS"` - `"GID"` - `"HINFO"` - `"HIP"` - `"HTTPS"` - `"IPSECKEY"` - `"ISDN"` - `"IXFR"` - `"KEY"` - `"KX"` - `"L32"` - `"L64"` - `"LOC"` - `"LP"` - `"MAILA"` - `"MAILB"` - `"MB"` - `"MD"` - `"MF"` - `"MG"` - `"MINFO"` - `"MR"` - `"MX"` - `"NAPTR"` - `"NB"` - `"NBSTAT"` - `"NID"` - `"NIMLOC"` - `"NINFO"` - `"NS"` - `"NSAP"` - `"NSEC"` - `"NSEC3"` - `"NSEC3PARAM"` - `"NULL"` - `"NXT"` - `"OPENPGPKEY"` - `"OPT"` - `"PTR"` - `"PX"` - `"RKEY"` - `"RP"` - `"RRSIG"` - `"RT"` - `"SIG"` - `"SINK"` - `"SMIMEA"` - `"SOA"` - `"SPF"` - `"SRV"` - `"SSHFP"` - `"SVCB"` - `"TA"` - `"TALINK"` - `"TKEY"` - `"TLSA"` - `"TSIG"` - `"TXT"` - `"UINFO"` - `"UID"` - `"UNSPEC"` - `"URI"` - `"WKS"` - `"X25"` - `"ZONEMD"` - `response_code: Optional[List[Literal["NOERROR", "FORMERR", "SERVFAIL", 16 more]]]` Filters results by DNS response code. - `"NOERROR"` - `"FORMERR"` - `"SERVFAIL"` - `"NXDOMAIN"` - `"NOTIMP"` - `"REFUSED"` - `"YXDOMAIN"` - `"YXRRSET"` - `"NXRRSET"` - `"NOTAUTH"` - `"NOTZONE"` - `"BADSIG"` - `"BADKEY"` - `"BADTIME"` - `"BADMODE"` - `"BADNAME"` - `"BADALG"` - `"BADTRUNC"` - `"BADCOOKIE"` ### Returns - `class TimeseriesGroupEdnsResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `not_supported: List[str]` - `supported: List[str]` ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.timeseries_groups.edns() print(response.meta) ``` #### Response ```json { "result": { "meta": { "aggInterval": "FIFTEEN_MINUTES", "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "serie_0": { "NOT_SUPPORTED": [ "10" ], "SUPPORTED": [ "10" ] } }, "success": true } ``` ## Get AS112 DNS queries by IP version time series `radar.as112.timeseries_groups.ip_version(TimeseriesGroupIPVersionParams**kwargs) -> TimeseriesGroupIPVersionResponse` **get** `/radar/as112/timeseries_groups/ip_version` Retrieves the distribution of AS112 DNS queries by IP version over time. ### Parameters - `agg_interval: Optional[Literal["15m", "1h", "1d", "1w"]]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). When omitted, the interval is auto-selected from the requested date range; finer intervals are only available for shorter ranges. If the requested interval is too granular for the date range, the request is rejected. - `"15m"` - `"1h"` - `"1d"` - `"1w"` - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. - `protocol: Optional[List[Literal["UDP", "TCP", "HTTPS", "TLS"]]]` Filters results by DNS transport protocol. - `"UDP"` - `"TCP"` - `"HTTPS"` - `"TLS"` - `query_type: Optional[List[Optional[Literal["A", "AAAA", "A6", 85 more]]]]` Filters results by DNS query type. - `"A"` - `"AAAA"` - `"A6"` - `"AFSDB"` - `"ANY"` - `"APL"` - `"ATMA"` - `"AXFR"` - `"CAA"` - `"CDNSKEY"` - `"CDS"` - `"CERT"` - `"CNAME"` - `"CSYNC"` - `"DHCID"` - `"DLV"` - `"DNAME"` - `"DNSKEY"` - `"DOA"` - `"DS"` - `"EID"` - `"EUI48"` - `"EUI64"` - `"GPOS"` - `"GID"` - `"HINFO"` - `"HIP"` - `"HTTPS"` - `"IPSECKEY"` - `"ISDN"` - `"IXFR"` - `"KEY"` - `"KX"` - `"L32"` - `"L64"` - `"LOC"` - `"LP"` - `"MAILA"` - `"MAILB"` - `"MB"` - `"MD"` - `"MF"` - `"MG"` - `"MINFO"` - `"MR"` - `"MX"` - `"NAPTR"` - `"NB"` - `"NBSTAT"` - `"NID"` - `"NIMLOC"` - `"NINFO"` - `"NS"` - `"NSAP"` - `"NSEC"` - `"NSEC3"` - `"NSEC3PARAM"` - `"NULL"` - `"NXT"` - `"OPENPGPKEY"` - `"OPT"` - `"PTR"` - `"PX"` - `"RKEY"` - `"RP"` - `"RRSIG"` - `"RT"` - `"SIG"` - `"SINK"` - `"SMIMEA"` - `"SOA"` - `"SPF"` - `"SRV"` - `"SSHFP"` - `"SVCB"` - `"TA"` - `"TALINK"` - `"TKEY"` - `"TLSA"` - `"TSIG"` - `"TXT"` - `"UINFO"` - `"UID"` - `"UNSPEC"` - `"URI"` - `"WKS"` - `"X25"` - `"ZONEMD"` - `response_code: Optional[List[Literal["NOERROR", "FORMERR", "SERVFAIL", 16 more]]]` Filters results by DNS response code. - `"NOERROR"` - `"FORMERR"` - `"SERVFAIL"` - `"NXDOMAIN"` - `"NOTIMP"` - `"REFUSED"` - `"YXDOMAIN"` - `"YXRRSET"` - `"NXRRSET"` - `"NOTAUTH"` - `"NOTZONE"` - `"BADSIG"` - `"BADKEY"` - `"BADTIME"` - `"BADMODE"` - `"BADNAME"` - `"BADALG"` - `"BADTRUNC"` - `"BADCOOKIE"` ### Returns - `class TimeseriesGroupIPVersionResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `i_pv4: List[str]` - `i_pv6: List[str]` ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.timeseries_groups.ip_version() print(response.meta) ``` #### Response ```json { "result": { "meta": { "aggInterval": "FIFTEEN_MINUTES", "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "serie_0": { "IPv4": [ "10" ], "IPv6": [ "10" ] } }, "success": true } ``` ## Domain Types ### Timeseries Group Protocol Response - `class TimeseriesGroupProtocolResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `https: List[str]` - `tcp: List[str]` - `tls: List[str]` - `udp: List[str]` ### Timeseries Group Query Type Response - `class TimeseriesGroupQueryTypeResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `timestamps: List[datetime]` ### Timeseries Group Response Codes Response - `class TimeseriesGroupResponseCodesResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `timestamps: List[datetime]` ### Timeseries Group DNSSEC Response - `class TimeseriesGroupDNSSECResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `not_supported: List[str]` - `supported: List[str]` ### Timeseries Group Edns Response - `class TimeseriesGroupEdnsResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `not_supported: List[str]` - `supported: List[str]` ### Timeseries Group IP Version Response - `class TimeseriesGroupIPVersionResponse: …` - `meta: Meta` Metadata for the results. - `agg_interval: Literal["FIFTEEN_MINUTES", "ONE_HOUR", "ONE_DAY", 2 more]` Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to [Aggregation intervals](https://edgetunnel-b2h.pages.dev/radar/concepts/aggregation-intervals/). - `"FIFTEEN_MINUTES"` - `"ONE_HOUR"` - `"ONE_DAY"` - `"ONE_WEEK"` - `"ONE_MONTH"` - `confidence_info: MetaConfidenceInfo` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `serie_0: Serie0` - `i_pv4: List[str]` - `i_pv6: List[str]` # Top ## Get top locations by AS112 DNS queries `radar.as112.top.locations(TopLocationsParams**kwargs) -> TopLocationsResponse` **get** `/radar/as112/top/locations` Retrieves the top locations by AS112 DNS queries. ### Parameters - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `limit: Optional[int]` Limits the number of objects returned in the response. - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. ### Returns - `class TopLocationsResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: Optional[MetaConfidenceInfo]` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `top_0: List[Top0]` - `client_country_alpha2: str` - `client_country_name: str` - `value: str` A numeric string. ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.top.locations() print(response.meta) ``` #### Response ```json { "result": { "meta": { "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "top_0": [ { "clientCountryAlpha2": "PT", "clientCountryName": "Portugal", "value": "10" } ] }, "success": true } ``` ## Get top locations by AS112 DNS queries with DNSSEC support `radar.as112.top.dnssec(Literal["SUPPORTED", "NOT_SUPPORTED"]dnssec, TopDNSSECParams**kwargs) -> TopDNSSECResponse` **get** `/radar/as112/top/locations/dnssec/{dnssec}` Retrieves the top locations of DNS queries to AS112 with DNSSEC (DNS Security Extensions) support. ### Parameters - `dnssec: Literal["SUPPORTED", "NOT_SUPPORTED"]` DNSSEC (DNS Security Extensions) status. - `"SUPPORTED"` - `"NOT_SUPPORTED"` - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `limit: Optional[int]` Limits the number of objects returned in the response. - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. ### Returns - `class TopDNSSECResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: Optional[MetaConfidenceInfo]` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `top_0: List[Top0]` - `client_country_alpha2: str` - `client_country_name: str` - `value: str` A numeric string. ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.top.dnssec( dnssec="SUPPORTED", ) print(response.meta) ``` #### Response ```json { "result": { "meta": { "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "top_0": [ { "clientCountryAlpha2": "PT", "clientCountryName": "Portugal", "value": "10" } ] }, "success": true } ``` ## Get top locations by AS112 DNS queries with EDNS support `radar.as112.top.edns(Literal["SUPPORTED", "NOT_SUPPORTED"]edns, TopEdnsParams**kwargs) -> TopEdnsResponse` **get** `/radar/as112/top/locations/edns/{edns}` Retrieves the top locations of DNS queries to AS112 with EDNS (Extension Mechanisms for DNS) support. ### Parameters - `edns: Literal["SUPPORTED", "NOT_SUPPORTED"]` EDNS (Extension Mechanisms for DNS) status. - `"SUPPORTED"` - `"NOT_SUPPORTED"` - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `limit: Optional[int]` Limits the number of objects returned in the response. - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. ### Returns - `class TopEdnsResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: Optional[MetaConfidenceInfo]` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `top_0: List[Top0]` - `client_country_alpha2: str` - `client_country_name: str` - `value: str` A numeric string. ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.top.edns( edns="SUPPORTED", ) print(response.meta) ``` #### Response ```json { "result": { "meta": { "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "top_0": [ { "clientCountryAlpha2": "PT", "clientCountryName": "Portugal", "value": "10" } ] }, "success": true } ``` ## Get top locations by AS112 DNS queries for an IP version `radar.as112.top.ip_version(Literal["IPv4", "IPv6"]ip_version, TopIPVersionParams**kwargs) -> TopIPVersionResponse` **get** `/radar/as112/top/locations/ip_version/{ip_version}` Retrieves the top locations of DNS queries to AS112 for an IP version. ### Parameters - `ip_version: Literal["IPv4", "IPv6"]` IP version. - `"IPv4"` - `"IPv6"` - `continent: Optional[Sequence[str]]` Filters results by continent. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude continents from results. For example, `-EU,NA` excludes results from EU, but includes results from NA. - `date_end: Optional[Sequence[Union[str, datetime]]]` End of the date range (inclusive). Alternative to `dateRange`; provide together with `dateStart`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `date_range: Optional[Sequence[str]]` Filters results by relative date range ending at the current time, with each value producing a separate series. Use `d` for days (up to `364d`) or `w` for weeks (up to `52w`). Append `control` to request the equivalent previous period for comparison: the comparison window is shifted back by the current window's length rounded up to a whole number of weeks, so it keeps the same weekday alignment and does not overlap the current window (e.g. `7dcontrol` covers days -14 to -7, `10dcontrol` covers days -24 to -14). For example, pass `7d` and `7dcontrol` to compare this week with the previous week. All series must resolve to the same duration as the main series; relative ranges (including `control`) satisfy this automatically. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters). - `date_start: Optional[Sequence[Union[str, datetime]]]` Start of the date range. Alternative to `dateRange`; provide together with `dateEnd`. When requesting comparison series, every series must resolve to the same duration as the main series. Each `dateStart`/`dateEnd` is floored to the nearest 15 minutes before evaluation, so windows whose durations match only before alignment may be rejected. - `format: Optional[Literal["JSON", "CSV"]]` Format in which results will be returned. - `"JSON"` - `"CSV"` - `limit: Optional[int]` Limits the number of objects returned in the response. - `location: Optional[Sequence[str]]` Filters results by location. Specify a comma-separated list of alpha-2 codes. Prefix with `-` to exclude locations from results. For example, `-US,PT` excludes results from the US, but includes results from PT. - `name: Optional[Sequence[str]]` Array of names used to label the series in the response. ### Returns - `class TopIPVersionResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: Optional[MetaConfidenceInfo]` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `top_0: List[Top0]` - `client_country_alpha2: str` - `client_country_name: str` - `value: str` A numeric string. ### Example ```python import os from cloudflare import Cloudflare client = Cloudflare( api_token=os.environ.get("CLOUDFLARE_API_TOKEN"), # This is the default and can be omitted ) response = client.radar.as112.top.ip_version( ip_version="IPv4", ) print(response.meta) ``` #### Response ```json { "result": { "meta": { "confidenceInfo": { "annotations": [ { "dataSource": "ALL", "description": "Cable cut in Tonga", "endDate": "2019-12-27T18:11:19.117Z", "eventType": "EVENT", "isInstantaneous": true, "linkedUrl": "https://example.com", "startDate": "2019-12-27T18:11:19.117Z", "tags": [ "BOT_CLASS" ] } ], "level": 0 }, "dateRange": [ { "endTime": "2022-09-17T10:22:57.555Z", "startTime": "2022-09-16T10:22:57.555Z" } ], "lastUpdated": "2019-12-27T18:11:19.117Z", "normalization": "PERCENTAGE", "units": [ { "name": "*", "value": "requests" } ] }, "top_0": [ { "clientCountryAlpha2": "PT", "clientCountryName": "Portugal", "value": "10" } ] }, "success": true } ``` ## Domain Types ### Top Locations Response - `class TopLocationsResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: Optional[MetaConfidenceInfo]` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `top_0: List[Top0]` - `client_country_alpha2: str` - `client_country_name: str` - `value: str` A numeric string. ### Top DNSSEC Response - `class TopDNSSECResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: Optional[MetaConfidenceInfo]` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `top_0: List[Top0]` - `client_country_alpha2: str` - `client_country_name: str` - `value: str` A numeric string. ### Top Edns Response - `class TopEdnsResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: Optional[MetaConfidenceInfo]` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `top_0: List[Top0]` - `client_country_alpha2: str` - `client_country_name: str` - `value: str` A numeric string. ### Top IP Version Response - `class TopIPVersionResponse: …` - `meta: Meta` Metadata for the results. - `confidence_info: Optional[MetaConfidenceInfo]` - `annotations: List[MetaConfidenceInfoAnnotation]` - `data_source: Literal["ALL", "AI_BOTS", "AI_GATEWAY", 22 more]` Data source for annotations. - `"ALL"` - `"AI_BOTS"` - `"AI_GATEWAY"` - `"BGP"` - `"BOTS"` - `"CONNECTION_ANOMALY"` - `"CT"` - `"DNS"` - `"DNS_MAGNITUDE"` - `"DNS_AS112"` - `"DOS"` - `"EMAIL_ROUTING"` - `"EMAIL_SECURITY"` - `"FW"` - `"FW_PG"` - `"HTTP"` - `"HTTP_CONTROL"` - `"HTTP_CRAWLER_REFERER"` - `"HTTP_ORIGINS"` - `"IQI"` - `"LEAKED_CREDENTIALS"` - `"NET"` - `"ROBOTS_TXT"` - `"SPEED"` - `"WORKERS_AI"` - `description: str` - `end_date: datetime` - `event_type: Literal["EVENT", "GENERAL", "OUTAGE", 3 more]` Event type for annotations. - `"EVENT"` - `"GENERAL"` - `"OUTAGE"` - `"PARTIAL_PROJECTION"` - `"PIPELINE"` - `"TRAFFIC_ANOMALY"` - `is_instantaneous: bool` Whether event is a single point in time or a time range. - `linked_url: str` - `start_date: datetime` - `tags: Optional[List[str]]` - `level: int` Provides an indication of how much confidence Cloudflare has in the data. - `date_range: List[MetaDateRange]` - `end_time: datetime` Adjusted end of date range. - `start_time: datetime` Adjusted start of date range. - `last_updated: datetime` Timestamp of the last dataset update. - `normalization: Literal["PERCENTAGE", "MIN0_MAX", "MIN_MAX", 5 more]` Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). - `"PERCENTAGE"` - `"MIN0_MAX"` - `"MIN_MAX"` - `"RAW_VALUES"` - `"PERCENTAGE_CHANGE"` - `"ROLLING_AVERAGE"` - `"OVERLAPPED_PERCENTAGE"` - `"RATIO"` - `units: List[MetaUnit]` Measurement units for the results. - `name: str` - `value: str` - `top_0: List[Top0]` - `client_country_alpha2: str` - `client_country_name: str` - `value: str` A numeric string.