## Query analytics timeseries

`analytics_query.timeseries(strdataset, AnalyticsQueryTimeseriesParams**kwargs)  -> AnalyticsQueryTimeseriesResponse`

**post** `/accounts/{account_id}/analytics/query/{dataset}/timeseries`

Returns time-bucketed analytics data for a dataset. Includes time slots, each containing the requested stats, group-by dimensions, and resolution-controlled bucket size (e.g. `hour`, `day`).

### Parameters

- `account_id: str`

- `dataset: str`

- `filters: Iterable[Filter]`

  Filters to apply before aggregating results.

  - `name: str`

    Specifies the column name to filter on. Requires a valid column for the target dataset (e.g. `country`, `allowed`, `appId`).

  - `op: str`

    Filter operator. Common values: `eq`, `neq`, `in`, `not_in`, `gt`, `lt`, `gte`, `lte`.

  - `values: Sequence[Union[str, bool, float]]`

    Values to match against. Type depends on the column.

    - `str`

    - `bool`

    - `float`

- `from_: Union[str, datetime]`

  The start of the query time range (inclusive). RFC3339 format with timezone is required (e.g. `2024-11-05T00:00:00Z`).

- `group_by: Sequence[str]`

  Specifies the column names to group results by. Requires valid columns for the target dataset.

- `resolution: str`

  Time bucket size for grouping results. Controls the granularity of the returned time slots.

- `stats: Sequence[str]`

  Specifies the stat names to include in results. Requires valid stats for the target dataset (e.g. `attemptsTotal`, `bytesTotal`).

- `to: Union[str, datetime]`

  Specifies the end of the query time range (exclusive). Requires RFC3339 format with timezone.

### Returns

- `class AnalyticsQueryTimeseriesResponse: …`

  - `resolution: str`

    The resolution used for time bucketing.

  - `slots: List[Dict[str, object]]`

    Time-bucketed result rows. Each slot contains a `time_bucket` field plus the requested stats and group-by dimensions.

### Example

```python
import os
from datetime import datetime
from cloudflare import Cloudflare

client = Cloudflare(
    api_token=os.environ.get("CLOUDFLARE_API_TOKEN"),  # This is the default and can be omitted
)
response = client.analytics_query.timeseries(
    dataset="shadow_it",
    account_id="023e105f4ecef8ad9ca31a8372d0c353",
    filters=[{
        "name": "allowed",
        "op": "eq",
        "values": [True],
    }],
    from_=datetime.fromisoformat("2024-11-01T00:00:00"),
    group_by=["country", "allowed"],
    resolution="day",
    stats=["attemptsTotal"],
    to=datetime.fromisoformat("2024-11-08T00:00:00"),
)
print(response.resolution)
```

#### Response

```json
{
  "errors": [],
  "messages": [
    {
      "code": 1000,
      "message": "API in beta: expect breaking changes."
    }
  ],
  "result": {
    "resolution": "hour",
    "slots": [
      {
        "appName": "Slack",
        "bytesTotal": 1048576,
        "time_bucket": "2024-11-05T00:00:00Z"
      },
      {
        "appName": "Slack",
        "bytesTotal": 2097152,
        "time_bucket": "2024-11-05T01:00:00Z"
      }
    ]
  },
  "success": true
}
```