{"uid":"cap_lO-oHzNt4QjkZ75WICgYE","slug":"asterpay-fact-check-api-84be299a","name":"AsterPay Fact-Check API","description":"Source-bounded fact-check. Verify a claim against provided source text. Returns verdict: supported, contradicted, or unverifiable. Does NOT search the web.","url":"https://x402.asterpay.io/v2/x402/ai/fact-check","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"claim":{"type":"string"},"source":{"type":"string"}}},"responseSchema":{"type":"json","example":{"model":"llama-3.3-70b-versatile","summary":"Revenue figure directly contradicted by source.","verdict":"contradicted","evidence":"Source states $119.6B, not $94.9B as claimed.","confidence":0.98,"latency_ms":820,"claims_checked":1}},"example":null,"exampleRequest":null,"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":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_iDGMHS_IwMnHZF_6lQkjh","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Verifies factual claims against sources using an LLM, returning a verdict, evidence, confidence score, and summary","exampleAgentPrompt":"Can you fact-check this claim for me: 'Apple reported $94.9B in revenue last quarter' — I need to know if it's supported, contradicted, or unverifiable, and how confident you are?","exampleUseCases":[{"title":"Verify earnings claims in financial reports","prompt":"Before we publish this investor briefing, can you fact-check these numbers? We're claiming that Tesla's Q3 revenue hit $25.2B — I need to know if that's actually true or if we're off."},{"title":"Detect misinformation in customer testimonials","prompt":"We got this customer review saying our competitor was sued by regulators in 2022 — can you verify if that actually happened? I want to make sure we're not spreading false claims about them."},{"title":"Validate statistics before marketing campaign","prompt":"Our marketing team wants to use this stat in our ads: 'Remote workers are 37% more productive.' Can you fact-check that against reliable sources and tell me how confident you are it's accurate?"}],"resultDescription":"Returns a JSON object with: verdict (e.g. 'contradicted', 'supported', 'unverifiable'), a plain-English summary, the evidence used to reach the verdict, a confidence score (0–1), the LLM model used, latency in milliseconds, and the number of claims checked.","failureModes":["Claim is too vague or ambiguous to verify — low confidence score returned","Source data unavailable or outdated — verdict may be 'unverifiable'","Rate limit exceeded — 402 or 429 response","Malformed request body — 400 error","Payment not accepted or insufficient USDC — 402 payment required error"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to verify a specific factual claim (e.g. a revenue figure, a statistic, a quoted fact) against real sources, and requires a structured verdict with evidence and confidence. Prefer over generic LLM prompting when you need a structured, auditable fact-check response with a clear verdict enum and supporting evidence, especially in agentic pipelines requiring trustworthy, verifiable outputs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:42:03.841Z","isFirstParty":false}