Get time series distribution of Workers AI inference by dimension.

client.radar.ai.inference.timeseriesGroupsV2(, ?, ?): InferenceTimeseriesGroupsV2Response { meta, serie_0 }

GET/radar/ai/inference/timeseries_groups/{dimension}

Retrieves the distribution of unique accounts using Workers AI inference, grouped by the specified dimension over time.

Security

API Token

The preferred authorization scheme for interacting with the Cloudflare API. Create a token.

Example:Authorization: Bearer Sn3lZJTBX6kkg7OdcBUAxOO963GEIyGQqnFTOFYY

API Email + API Key

The previous authorization scheme for interacting with the Cloudflare API, used in conjunction with a Global API key.

Example:X-Auth-Email: user@example.com

The previous authorization scheme for interacting with the Cloudflare API. When possible, use API tokens instead of Global API keys.

Example:X-Auth-Key: 144c9defac04969c7bfad8efaa8ea194

Accepted Permissions (at least one required)

User Details WriteUser Details Read

ParametersExpand Collapse

dimension: "MODEL" | "TASK"

Specifies the attribute by which to group the results.

One of the following:

"MODEL"

"TASK"

query: InferenceTimeseriesGroupsV2Params { aggInterval, asn, continent, 8 more }

aggInterval?: "15m" | "1h" | "1d" | "1w"

Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to Aggregation intervals.

One of the following:

"15m"

"1h"

"1d"

"1w"

asn?: Array<string>

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?: Array<string>

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.

dateEnd?: Array<string>

End of the date range (inclusive).

dateRange?: Array<string>

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).

dateStart?: Array<string>

Start of the date range.

format?: "JSON" | "CSV"

Format in which results will be returned.

One of the following:

"JSON"

"CSV"

limitPerGroup?: number

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?: Array<string>

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?: Array<string>

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

normalization?: "PERCENTAGE" | "MIN0_MAX"

Normalization method applied to the results. Refer to Normalization methods.

One of the following:

"PERCENTAGE"

"MIN0_MAX"

ReturnsExpand Collapse

InferenceTimeseriesGroupsV2Response { meta, serie_0 }

meta: Meta { aggInterval, confidenceInfo, dateRange, 3 more }

Metadata for the results.

aggInterval: "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.

One of the following:

"FIFTEEN_MINUTES"

"ONE_HOUR"

"ONE_DAY"

"ONE_WEEK"

"ONE_MONTH"

confidenceInfo: ConfidenceInfo { annotations, level }

annotations: Array<Annotation>

dataSource: "ALL" | "AI_BOTS" | "AI_GATEWAY" | 22 more

Data source for annotations.

One of the following:

"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: string

endDate: string

formatdate-time

eventType: "EVENT" | "GENERAL" | "OUTAGE" | 3 more

Event type for annotations.

One of the following:

"EVENT"

"GENERAL"

"OUTAGE"

"PARTIAL_PROJECTION"

"PIPELINE"

"TRAFFIC_ANOMALY"

isInstantaneous: boolean

Whether event is a single point in time or a time range.

linkedUrl: string

formaturi

startDate: string

formatdate-time

level: number

Provides an indication of how much confidence Cloudflare has in the data.

dateRange: Array<DateRange>

endTime: string

Adjusted end of date range.

formatdate-time

startTime: string

Adjusted start of date range.

formatdate-time

lastUpdated: string

Timestamp of the last dataset update.

formatdate-time

normalization: "PERCENTAGE" | "MIN0_MAX" | "MIN_MAX" | 5 more

Normalization method applied to the results. Refer to Normalization methods.

One of the following:

"PERCENTAGE"

"MIN0_MAX"

"MIN_MAX"

"RAW_VALUES"

"PERCENTAGE_CHANGE"

"ROLLING_AVERAGE"

"OVERLAPPED_PERCENTAGE"

"RATIO"

units: Array<Unit>

Measurement units for the results.

name: string

value: string

serie_0: Serie0 { timestamps }

timestamps: Array<string>

Get time series distribution of Workers AI inference by dimension.

import Cloudflare from 'cloudflare';

const client = new Cloudflare({
  apiToken: process.env['CLOUDFLARE_API_TOKEN'], // This is the default and can be omitted
});

const response = await client.radar.ai.inference.timeseriesGroupsV2('MODEL');

console.log(response.meta);

{
  "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"
          }
        ],
        "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
}

Returns Examples

{
  "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"
          }
        ],
        "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
}