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

# Execute Saved Search

> Execute a saved search and return matching results

Executes a saved search using its stored filter and sort criteria, returning matching content or assets based on the search type.

## Path Parameters

<ParamField path="organizationId" type="string" required>
  Organization ID
</ParamField>

<ParamField path="projectId" type="string" required>
  Project ID
</ParamField>

<ParamField path="id" type="string" required>
  Saved search ID
</ParamField>

## Query Parameters

<ParamField query="limit" type="number">
  Items per page (default: 20)
</ParamField>

<ParamField query="lastKey" type="string">
  Cursor for pagination (from previous response)
</ParamField>

## Execution Behavior

When executing a saved search:

1. The saved search's `filter` and `sort` parameters are applied
2. The `type` field determines whether the search targets content or assets
3. Results are paginated according to the `limit` and `lastKey` parameters
4. The search's `metadata.lastUsed` and `metadata.useCount` are updated

## Response (Content Type)

When the saved search type is `content`:

```json theme={null}
{
  "data": [
    {
      "id": "cont123",
      "name": "Getting Started with Metabind",
      "typeId": "article",
      "status": "draft",
      "createdAt": "2024-03-20T10:00:00Z",
      "updatedAt": "2024-03-21T15:30:00Z"
    }
  ],
  "pagination": {
    "lastKey": "eyJpZCI6ImNvbnQxMjMifQ=="
  },
  "searchInfo": {
    "id": "ss123",
    "name": "Draft Articles",
    "type": "content",
    "executedAt": "2024-03-22T10:00:00Z"
  }
}
```

## Response (Asset Type)

When the saved search type is `asset`:

```json theme={null}
{
  "data": [
    {
      "id": "asset123",
      "name": "hero-image.jpg",
      "type": "image/jpeg",
      "size": 245760,
      "createdAt": "2024-03-20T10:00:00Z",
      "updatedAt": "2024-03-21T15:30:00Z"
    }
  ],
  "pagination": {
    "lastKey": "eyJpZCI6ImFzc2V0MTIzIn0="
  },
  "searchInfo": {
    "id": "ss124",
    "name": "Recent Images",
    "type": "asset",
    "executedAt": "2024-03-22T10:00:00Z"
  }
}
```

## Error Responses

### Saved Search Not Found

```json theme={null}
{
  "error": {
    "code": "NOT_FOUND",
    "message": "Saved search not found"
  }
}
```

## Code Examples

<CodeGroup>
  ```bash cURL theme={null}
  curl -X POST "https://api.metabind.ai/app/v1/organizations/org123/projects/proj456/saved-searches/ss123/execute?limit=10" \
    -H "Authorization: Bearer YOUR_JWT"
  ```

  ```javascript JavaScript theme={null}
  const response = await fetch(
    'https://api.metabind.ai/app/v1/organizations/org123/projects/proj456/saved-searches/ss123/execute?limit=10',
    {
      method: 'POST',
      headers: {
        'Authorization': 'Bearer YOUR_JWT'
      }
    }
  );

  const { data, pagination, searchInfo } = await response.json();
  console.log(`Found ${data.length} results for "${searchInfo.name}"`);
  ```

  ```swift Swift theme={null}
  var request = URLRequest(url: URL(string: "https://api.metabind.ai/app/v1/organizations/org123/projects/proj456/saved-searches/ss123/execute?limit=10")!)
  request.httpMethod = "POST"
  request.setValue("Bearer YOUR_JWT", forHTTPHeaderField: "Authorization")

  let (data, _) = try await URLSession.shared.data(for: request)
  let result = try JSONDecoder().decode(SearchExecutionResponse.self, from: data)
  print("Found \(result.data.count) results")
  ```

  ```kotlin Kotlin theme={null}
  val response = client.post("https://api.metabind.ai/app/v1/organizations/org123/projects/proj456/saved-searches/ss123/execute") {
      header("Authorization", "Bearer YOUR_JWT")
      parameter("limit", 10)
  }

  val result = response.body<SearchExecutionResponse>()
  println("Found ${result.data.size} results for ${result.searchInfo.name}")
  ```
</CodeGroup>


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