## Get network traffic distribution by dimension

`radar.netflows.summary_v2(Literal["ADM1", "AS", "LOCATION", "PRODUCT"]dimension, NetFlowsSummaryV2Params**kwargs)  -> NetFlowsSummaryV2Response`

**get** `/radar/netflows/summary/{dimension}`

Retrieves the distribution of network traffic (NetFlows) by the specified dimension.

### Parameters

- `dimension: Literal["ADM1", "AS", "LOCATION", "PRODUCT"]`

  Specifies the NetFlows attribute by which to group the results.

  - `"ADM1"`

  - `"AS"`

  - `"LOCATION"`

  - `"PRODUCT"`

- `asn: Optional[SequenceNotStr[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.

- `continent: Optional[SequenceNotStr[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[SequenceNotStr[Union[str, datetime]]]`

  End of the date range (inclusive).

- `date_range: Optional[SequenceNotStr[str]]`

  Filters results by date range. For example, use `7d` and `7dcontrol` to compare this week with the previous week. Use this parameter or set specific start and end dates (`dateStart` and `dateEnd` parameters).

- `date_start: Optional[SequenceNotStr[Union[str, datetime]]]`

  Start of the date range.

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

  Format in which results will be returned.

  - `"JSON"`

  - `"CSV"`

- `geo_id: Optional[SequenceNotStr[str]]`

  Filters results by Geolocation. Specify a comma-separated list of GeoNames IDs. Prefix with `-` to exclude geoIds from results. For example, `-2267056,360689` excludes results from the 2267056 (Lisbon), but includes results from 5128638 (New York).

- `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.

- `location: Optional[SequenceNotStr[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[SequenceNotStr[str]]`

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

- `product: Optional[List[Literal["HTTP", "ALL"]]]`

  Filters the results by network traffic product types.

  - `"HTTP"`

  - `"ALL"`

### Returns

- `class NetFlowsSummaryV2Response: …`

  - `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`

      - `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://developers.cloudflare.com/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.netflows.summary_v2(
    dimension="ADM1",
)
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"
          }
        ],
        "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": {
      "Germany": "25.084366",
      "United States": "50.168733"
    }
  },
  "success": true
}
```