workflow.execute

{
  "feature": "data_extraction",
  "user_id": "u_heavy_39"
}

{
  "model": "claude-sonnet-4-6",
  "feature": "data_extraction",
  "user_id": "u_heavy_39",
  "tokens_prompt": 1351,
  "tokens_output": 1245,
  "tokens_total": 2596,
  "input": "Summarize the Q3 earnings report attached. Focus on revenue, margin, and guidance.",
  "output": "(answer to: Summarize the Q3 earnings report attache…)",
  "eval_scores": {
    "Hallucination": 0.9412861922523007
  },
  "hallucination_details": {
    "claims": [
      {
        "text": "Globex Logistics is the lowest-cost vendor for SKU 88-A.",
        "verdict": "contradicted"
      },
      {
        "text": "The quoted unit price is $14.20.",
        "verdict": "contradicted"
      },
      {
        "text": "Delivery date is 2026-06-28.",
        "verdict": "supported"
      }
    ],
    "supported": 1,
    "contradicted": 2,
    "unsupported": 0,
    "total": 3,
    "score": 0.3333333333333333
  }
}

{
  "model": "claude-sonnet-4-6",
  "feature": "data_extraction",
  "user_id": "u_heavy_39",
  "tokens_prompt": 688,
  "tokens_output": 1264,
  "tokens_total": 1952,
  "input": "Given the customer ticket below, draft a refund response that follows policy P-204.",
  "output": "(answer to: Given the customer ticket below, draft a…)",
  "eval_scores": {
    "Hallucination": 0.7785891574341803
  },
  "hallucination_details": {
    "claims": [
      {
        "text": "Day 1 plan fits under the $200/day soft cap.",
        "verdict": "supported"
      },
      {
        "text": "Belém Tower opens at 9am.",
        "verdict": "contradicted"
      },
      {
        "text": "Time Out Market lunch costs $18.",
        "verdict": "unsupported"
      },
      {
        "text": "Castelo dinner costs $42.",
        "verdict": "unsupported"
      }
    ],
    "supported": 1,
    "contradicted": 1,
    "unsupported": 2,
    "total": 4,
    "score": 0.25
  }
}

{
  "tool": "web_fetch",
  "feature": "data_extraction",
  "user_id": "u_heavy_39"
}

{
  "tool": "calculator",
  "feature": "data_extraction",
  "user_id": "u_heavy_39"
}