List Metrics

import Scorecard from 'scorecard-ai';

const client = new Scorecard({
  apiKey: 'My API Key',
});

// Automatically fetches more pages as needed.
for await (const metric of client.metrics.list('314')) {
  console.log(metric);
}

{
  "data": [
    {
      "id": "456",
      "name": "Response Accuracy",
      "description": "Evaluates if the response is factually accurate",
      "outputType": "boolean",
      "evalType": "ai",
      "guidelines": "Check if the response contains factually correct information",
      "promptTemplate": "Please evaluate if the following response is factually accurate: {{response}}",
      "evalModelName": "gpt-4o",
      "temperature": 0.1
    },
    {
      "id": "457",
      "name": "Response Quality",
      "description": "Human review of quality",
      "outputType": "float",
      "evalType": "human",
      "guidelines": "Rate the coherence of the response (0-1).",
      "passingThreshold": 0.8
    }
  ],
  "nextCursor": null,
  "hasMore": false
}