> ## Documentation Index
> Fetch the complete documentation index at: https://docs.iqrush.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Read groundedness — HTTP

> Read the extent to which measured brand mention statements have citation support.

Read the extent to which measured brand mention statements have citation support.

**Method:** `GET`

**Path:** `/projects/{project_id}/runs/{run_id}/groundedness`

Use the HTTP base for your authorized environment and an `Authorization: Bearer` header. See [authentication](/developers/guides/04-authentication) and [HTTP setup](/developers/guides/06-http-quickstart).

## Parameters

This table covers the standard read profile. It excludes internal application routes and advanced analysis controls.

| Name | Location | Type | Required | Default | Meaning |
| - | - | - | - | - | - |
| `project_id` | path | string | Yes | — | Project ID from list\_projects. Select the project in the intended workspace and environment. |
| `run_id` | path | string | Yes | — | Run ID from list\_runs for this project. Use the exact returned value and check readiness before reading measurements. |
| `aggregation_level` | query | string | No | `"bundle"` | entity reports individual names; bundle requests configured brand groupings. Read grouping warnings before treating the result as bundled. |
| `group_by` | query | string | No | `null` | JSON-encoded array. Split results into rows by the requested dimensions. Check both filters\_applied.group\_by and each row’s group\_by\_values before labeling the groups. |
| `filters` | query | string | No | `null` | JSON-encoded array. Select measured answers with objects containing dimension and values. Use labels from list\_dimension\_options; inspect returned warnings for filters that were not applied. |
| `subject` | query | string | No | `null` | JSON-encoded object. Choose brands with kind: leaderboard, all, self, self\_and\_competitors, or specified. For specified, provide entities\_or\_bundles. An unmeasured name is not a measured zero. |

## Request example

Set `IQRUSH_API_BASE` and `IQRUSH_ACCESS_TOKEN` through secure configuration. Replace project/run IDs and sample selections with values returned by your account. JSON objects and arrays are encoded as query strings.

```bash theme={null}
curl --fail-with-body --silent --show-error --get \
  --header "Authorization: Bearer ${IQRUSH_ACCESS_TOKEN}" \
  --header "Accept: application/json" \
  --data-urlencode aggregation_level=entity \
  --data-urlencode 'group_by=["platform"]' \
  --data-urlencode 'subject={"kind":"self_and_competitors"}' \
  "${IQRUSH_API_BASE%/}/projects/${IQRUSH_PROJECT_ID}/runs/${IQRUSH_RUN_ID}/groundedness"
```

## Read the response

Measurement rows contain the returned `estimate`, statement counts such as `n_mentions_total` and `n_mentions_grounded`, and additional count or basis fields when available.

Use `estimate.value`. A combined-platform estimate can differ from `pooled_rate`. Raw occurrences and statement counts are different units. A missing support dataset can make the result unavailable.

### Fields to use

These selected fields explain the example and the result to preserve. Field presence depends on the response; this is not a complete response schema.

| Field | Meaning and use |
| - | - |
| `data.rows[].entity_or_bundle` | Measured name or brand grouping. |
| `data.rows[].group_by_values` | Dimensions identifying the row’s scope. |
| `data.rows[].estimate` | Groundedness value, interval, and quality. Use the returned estimate rather than recomputing a combined rate from counts. |
| `data.rows[].n_mentions_total` | Mention-statement count accompanying the result. |
| `data.rows[].n_mentions_grounded` | Count of those mention statements with citation support. |

Selected response fields from IQRush Dev. Lists are shortened and project/run IDs are placeholders; this is not the full response.

```json theme={null}
{
  "data_ready": true,
  "data": {
    "aggregation_level": "entity",
    "rows": [
      {
        "entity_or_bundle": "Supergoop",
        "group_by_values": {
          "platform": "OPENAI"
        },
        "estimate": {
          "value": 0.625,
          "ci": {
            "lower": 0.453,
            "upper": 0.771,
            "level": 0.95
          },
          "n": 32,
          "stability": "stable",
          "stability_n": 32
        },
        "n_mentions_total": 32,
        "n_mentions_grounded": 20
      }
    ]
  }
}
```

Read the actual returned scope, counts, and interval levels before interpreting these fields.

MCP equivalent: [`get_groundedness`](/developers/tools/get_groundedness). Use the parameters and defaults on this page for HTTP.

## If the result is unavailable

Check HTTP status and the response’s `error` field before using data. A successful empty response does not establish a zero value. Preserve `not_available`, `not_available_reason`, `unavailable_reason`, and `linked` where returned. [Errors and recovery](/developers/guides/13-errors) shows observed examples.


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