## Get DNS time series grouped by dimension

`radar.dns.timeseries_groups_v2(Literal["AS", "CACHE_HIT", "DNSSEC", 11 more]dimension, DNSTimeseriesGroupsV2Params**kwargs)  -> DNSTimeseriesGroupsV2Response`

**get** `/radar/dns/timeseries_groups/{dimension}`

Retrieves the distribution of DNS queries grouped by dimension over time.

### Parameters

- `dimension: Literal["AS", "CACHE_HIT", "DNSSEC", 11 more]`

  Specifies the attribute by which to group the results. Grouping by `TLD_DNS_MAGNITUDE` does not support sub-daily aggregation intervals; `15m` and `1h` are raised to `1d`.

  - `"AS"`

  - `"CACHE_HIT"`

  - `"DNSSEC"`

  - `"DNSSEC_AWARE"`

  - `"DNSSEC_E2E"`

  - `"IP_VERSION"`

  - `"LOCATION"`

  - `"MATCHING_ANSWER"`

  - `"PROTOCOL"`

  - `"QUERY_TYPE"`

  - `"RESPONSE_CODE"`

  - `"RESPONSE_TTL"`

  - `"TLD"`

  - `"TLD_DNS_MAGNITUDE"`

- `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"`

- `asn: Optional[Sequence[str]]`

  Filters results by Autonomous System. Specify one or more Autonomous System Numbers (ASNs) as a comma-separated list. Prefix with `-` to exclude ASNs from results. For example, `-174, 3356` excludes results from AS174, but includes results from AS3356.

- `cache_hit: Optional[Iterable[bool]]`

  Filters results based on cache status.

- `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 `<n>d` for days (up to `364d`) or `<n>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.

- `dnssec: Optional[List[Literal["INVALID", "INSECURE", "SECURE", "OTHER"]]]`

  Filters results based on DNSSEC (DNS Security Extensions) support.

  - `"INVALID"`

  - `"INSECURE"`

  - `"SECURE"`

  - `"OTHER"`

- `dnssec_aware: Optional[List[Literal["SUPPORTED", "NOT_SUPPORTED"]]]`

  Filters results based on DNSSEC (DNS Security Extensions) client awareness.

  - `"SUPPORTED"`

  - `"NOT_SUPPORTED"`

- `dnssec_e2e: Optional[Iterable[bool]]`

  Filters results based on DNSSEC-validated answers by end-to-end security status.

- `format: Optional[Literal["JSON", "CSV"]]`

  Format in which results will be returned.

  - `"JSON"`

  - `"CSV"`

- `ip_version: Optional[List[Literal["IPv4", "IPv6"]]]`

  Filters results by IP version (Ipv4 vs. IPv6).

  - `"IPv4"`

  - `"IPv6"`

- `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.

- `matching_answer: Optional[Iterable[bool]]`

  Filters results based on whether the queries have a matching answer.

- `name: Optional[Sequence[str]]`

  Array of names used to label the series in the response.

- `nodata: Optional[Iterable[bool]]`

  Specifies whether the response includes empty DNS responses (NODATA).

- `normalization: Optional[Literal["PERCENTAGE", "MIN0_MAX", "RANK"]]`

  Normalization method applied to the results. Refer to [Normalization methods](https://edgetunnel-b2h.pages.dev/radar/concepts/normalization/). `RANK` is only meaningful with the `TLD_DNS_MAGNITUDE` dimension, where it ranks TLDs by DNS query magnitude at each timestamp; for other dimensions it has no effect.

  - `"PERCENTAGE"`

  - `"MIN0_MAX"`

  - `"RANK"`

- `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"`

- `response_ttl: Optional[List[Literal["LTE_1M", "GT_1M_LTE_5M", "GT_5M_LTE_15M", 4 more]]]`

  Filters results by DNS response TTL.

  - `"LTE_1M"`

  - `"GT_1M_LTE_5M"`

  - `"GT_5M_LTE_15M"`

  - `"GT_15M_LTE_1H"`

  - `"GT_1H_LTE_1D"`

  - `"GT_1D_LTE_1W"`

  - `"GT_1W"`

- `tld: Optional[Sequence[str]]`

  Filters results by top-level domain. Incompatible with the `ipVersion`, `protocol`, `dnssecE2e`, `dnssecAware`, `responseTtl`, and `cacheHit` filters/dimensions; this restriction does not apply to country-code TLDs (2-letter, e.g. `uk`).

### Returns

- `class DNSTimeseriesGroupsV2Response: …`

  - `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.dns.timeseries_groups_v2(
    dimension="AS",
)
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
}
```