{"uid":"cap__rfsJrnGCdypXB_5SIMAJ","slug":"data-ground-truth-agentutil-net-30573240","name":"Data Ground Truth — Fact Verification & Benchmarking","description":"Verify facts and benchmark metrics against industry baselines. Combines verify (live fact-checking) with norm (statistical benchmarking).","url":"https://data-ground-truth.agentutil.net/v1/skill","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"name":{"enum":["data-ground-truth"],"type":"string","description":"Skill name"}}},"responseSchema":null,"example":{"request":{"name":"data-ground-truth"},"response":{"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"}},"exampleRequest":{"name":"data-ground-truth"},"tags":["x402"],"displayCostAmount":"0.001","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"settled","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_aNBCPEP5SS2jo73qiiIUw","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Verifies facts via live fact-checking and benchmarks metrics against statistical industry baselines in a single call","exampleAgentPrompt":"Can you fact-check this claim and tell me if it holds up against industry benchmarks: 'the average e-commerce cart abandonment rate is 45%'?","exampleUseCases":null,"resultDescription":"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.","failureModes":["Unrecognized or ambiguous claim returns low-confidence or inconclusive result","Metric outside covered industry categories returns no benchmark data","Missing or malformed skill name field returns 400-level validation error","Claim too vague to ground-truth returns an error or null result","Payment not included or insufficient triggers 402 Payment Required"],"whenToPreferThis":"Choose 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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T18:36:51.905Z","isFirstParty":false}