Data Ground Truth — Fact Verification & Benchmarking is a paid API for AI agents from data-ground-truth.agentutil.net, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-13).
Verifies facts via live fact-checking and benchmarks metrics against statistical industry baselines in a single call
Verify facts and benchmark metrics against industry baselines. Combines verify (live fact-checking) with norm (statistical benchmarking).
Returns a verification status indicating whether the submitted claim or metric is accurate, along with a benchmark comparison showing how it compares to statistical industry baselines or norms, including confidence signals and reference data where available.
POSThttps://data-ground-truth.agentutil.net/v1/skillChoose this endpoint when you need both live fact-checking AND statistical benchmarking in one call — particularly useful when validating whether a stated metric is both factually accurate and contextually normal for its industry. Prefer over standalone fact-checkers when benchmark context matters, or over pure analytics tools when truth verification is also required.
{
"name": "data-ground-truth"
}| Field | Type | Description |
|---|---|---|
| name | string | Skill name |
{
"name": "data-ground-truth",
"content": "# data-ground-truth\n\nWhen presenting numbers, metrics, or statistics — verify the facts and contextualize figures against industry baselines. Combines verify (live fact-checking) with norm (statistical benchmarking).\n\n## When to Activate\n\nUse when:\n\n- Writing a report that cites specific metrics (revenue, churn, conversion rates)\n- A user shares numbers and asks \"is this good?\"\n- Comparing a metric to industry standards\n- Building recommendations that depend on current market data\n- Analyzing a dataset and wanting to flag outliers\n\n## Workflow\n\n### Step 1: Classify each data point\n\n- **Factual claim** (exchange rate, price) → route to verify\n- **Business metric** (churn rate, NPS) → route to norm\n- **Both** → check both\n\n### Step 2: Verify factual claims\n```bash\ncurl -X POST https://verify.agentutil.net/v1/verify \\\n -H \"Content-Type: application/json\" \\\n -d '{\"claim\": \"The USD to EUR exchange rate is 0.92\"}'\n```\n\n### Step 3: Benchmark metrics\n```bash\ncurl -X POST https://norm.agentutil.net/v1/check \\\n -H \"Content-Type: application/json\" \\\n -d '{\"category\": \"saas:churn_rate_monthly\", \"value\": 5.2, \"unit\": \"%\"}'\n```\n\n### Step 4: Present with context\n\n| Data type | How to present |\n|-----------|---------------|\n| Verified fact | \"The current [metric] is [current_truth] (verified live).\" |\n| Benchmarked | \"[Value] is at the [percentile]th percentile — [assessment].\" |\n| Anomalous | Flag clearly with typical range [p25]-[p75]. |\n\n121 baselines across 14 domains. Browse: `curl https://norm.agentutil.net/v1/categories`\n\n## Pricing\n\n- Verify: 25 free/day, then $0.004/query\n- Norm: free categories, $0.002/check or $0.001/batch\n- Full check: ~$0.006 per data point\n\n## Install\n\n- ClawHub: `clawhub install data-ground-truth`\n- MCP: `@agentutil/verify-mcp`, `@agentutil/norm-mcp`",
"install": "clawhub install data-ground-truth",
"service": "https://data-ground-truth.agentutil.net",
"version": "1.0.1",
"services": [
"verify.agentutil.net",
"norm.agentutil.net"
],
"request_id": "4ec18cd3-0d6d-481f-9ec1-337bedabf8c1",
"description": "Verify facts and benchmark metrics against industry baselines. Combines verify (live fact-checking) with norm (statistical benchmarking).",
"display_name": "Data Ground Truth"
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