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

# Retrieve score

Retrieves a specific evaluation score by ID.

<RequestExample>
  ```Python Python theme={"system"}
  import requests

  url = "https://api.keywordsai.co/api/scores/{score_id}/"
  api_key = "YOUR_KEY" # Replace with your actual Keywords AI API key
  headers = {
      "Authorization": f"Bearer {api_key}",
      "Content-Type": "application/json"
  }

  response = requests.get(url, headers=headers)
  print(response.json())
  ```
</RequestExample>

<ResponseExample>
  ```json 200 OK theme={"system"}
  {
    "id": "eval_result_unique_id",
    "created_at": "2024-01-15T10:30:00Z",
    "type": "llm",
    "environment": "test",
    "numerical_value": 4.5,
    "string_value": "Good quality",
    "boolean_value": true,
    "is_passed": false,
    "cost": 0.0,
    "evaluator_id": null,
    "evaluator_slug": "quality_evaluator",
    "log_id": "log_unique_id",
    "dataset_id": null
  }
  ```
</ResponseExample>