## Get agent readiness summary

`client.Radar.AgentReadiness.Summary(ctx, dimension, query) (*AgentReadinessSummaryResponse, error)`

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

Returns a summary of AI agent readiness scores across scanned domains, grouped by the specified dimension. Data is sourced from weekly bulk scans. All values are raw domain counts.

### Parameters

- `dimension AgentReadinessSummaryParamsDimension`

  Specifies the agent readiness data dimension by which to group the results.

  - `const AgentReadinessSummaryParamsDimensionCheck AgentReadinessSummaryParamsDimension = "CHECK"`

- `query AgentReadinessSummaryParams`

  - `Date param.Field[Time]`

    Filters results by the specified date.

  - `DomainCategory param.Field[[]string]`

    Filters results by domain category.

  - `Format param.Field[AgentReadinessSummaryParamsFormat]`

    Format in which results will be returned.

    - `const AgentReadinessSummaryParamsFormatJson AgentReadinessSummaryParamsFormat = "JSON"`

    - `const AgentReadinessSummaryParamsFormatCsv AgentReadinessSummaryParamsFormat = "CSV"`

  - `Name param.Field[[]string]`

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

### Returns

- `type AgentReadinessSummaryResponse struct{…}`

  - `Meta AgentReadinessSummaryResponseMeta`

    - `Date string`

      Date of the returned scan (YYYY-MM-DD). May differ from the requested date if no scan exists for that exact date.

    - `DomainCategories []AgentReadinessSummaryResponseMetaDomainCategory`

      Available domain sub-categories with their scan counts. Use as filter options for the domainCategory parameter.

      - `Name string`

        Sub-category name.

      - `Value int64`

        Number of successfully scanned domains in this sub-category.

    - `LastUpdated Time`

      Timestamp of the last dataset update.

    - `Normalization AgentReadinessSummaryResponseMetaNormalization`

      Normalization method applied to the results. Refer to [Normalization methods](https://developers.cloudflare.com/radar/concepts/normalization/).

      - `const AgentReadinessSummaryResponseMetaNormalizationPercentage AgentReadinessSummaryResponseMetaNormalization = "PERCENTAGE"`

      - `const AgentReadinessSummaryResponseMetaNormalizationMin0Max AgentReadinessSummaryResponseMetaNormalization = "MIN0_MAX"`

      - `const AgentReadinessSummaryResponseMetaNormalizationMinMax AgentReadinessSummaryResponseMetaNormalization = "MIN_MAX"`

      - `const AgentReadinessSummaryResponseMetaNormalizationRawValues AgentReadinessSummaryResponseMetaNormalization = "RAW_VALUES"`

      - `const AgentReadinessSummaryResponseMetaNormalizationPercentageChange AgentReadinessSummaryResponseMetaNormalization = "PERCENTAGE_CHANGE"`

      - `const AgentReadinessSummaryResponseMetaNormalizationRollingAverage AgentReadinessSummaryResponseMetaNormalization = "ROLLING_AVERAGE"`

      - `const AgentReadinessSummaryResponseMetaNormalizationOverlappedPercentage AgentReadinessSummaryResponseMetaNormalization = "OVERLAPPED_PERCENTAGE"`

      - `const AgentReadinessSummaryResponseMetaNormalizationRatio AgentReadinessSummaryResponseMetaNormalization = "RATIO"`

    - `SuccessfulDomains int64`

      Domains successfully scanned (excludes errors).

    - `TotalDomains int64`

      Total domains attempted in the scan.

    - `Units []AgentReadinessSummaryResponseMetaUnit`

      Measurement units for the results.

      - `Name string`

      - `Value string`

  - `Summary0 map[string, string]`

### Example

```go
package main

import (
  "context"
  "fmt"

  "github.com/cloudflare/cloudflare-go"
  "github.com/cloudflare/cloudflare-go/option"
  "github.com/cloudflare/cloudflare-go/radar"
)

func main() {
  client := cloudflare.NewClient(
    option.WithAPIToken("Sn3lZJTBX6kkg7OdcBUAxOO963GEIyGQqnFTOFYY"),
  )
  response, err := client.Radar.AgentReadiness.Summary(
    context.TODO(),
    radar.AgentReadinessSummaryParamsDimensionCheck,
    radar.AgentReadinessSummaryParams{

    },
  )
  if err != nil {
    panic(err.Error())
  }
  fmt.Printf("%+v\n", response.Meta)
}
```

#### Response

```json
{
  "result": {
    "meta": {
      "date": "2026-03-24",
      "domainCategories": [
        {
          "name": "News & Media",
          "value": 0
        }
      ],
      "lastUpdated": "2019-12-27T18:11:19.117Z",
      "normalization": "PERCENTAGE",
      "successfulDomains": 0,
      "totalDomains": 0,
      "units": [
        {
          "name": "*",
          "value": "requests"
        }
      ]
    },
    "summary_0": {
      "markdownNegotiation": "45000",
      "robotsTxt": "280000"
    }
  },
  "success": true
}
```