{"uid":"cap_pLJPxHoPRKmFN9WvZcXbt","slug":"prospectintel-claim-extractor-c995ca64","name":"ProspectIntel Claim Extractor","description":"Extract atomic claims","url":"https://claim-grounding.prospectintel.workers.dev/v1/extract_claims","method":"POST","headers":{},"bodySchema":{"type":"object","required":["input"],"properties":{"input":{"type":"object","required":["type","method","bodyType","body"],"properties":{"body":{"type":"object"},"type":{"const":"http"},"method":{"enum":["POST"],"type":"string"},"bodyType":{"const":"json"}}},"output":{"type":"object"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_hh17eGKUct4EAWZTwnpXQ","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts atomic, discrete claims from a body of text for downstream grounding or verification","exampleAgentPrompt":"Break this paragraph into atomic, individually verifiable claims: 'OpenAI was founded in 2015, is headquartered in San Francisco, and has raised over $10 billion in funding.'","exampleUseCases":[{"title":"Fact-checking pipeline preprocessing","prompt":"Take this news article excerpt and extract every individual claim so I can verify each one separately: 'The vaccine was approved in 2021, reduces hospitalization by 85%, and has been administered to over 500 million people worldwide.'"},{"title":"AI response grounding audit","prompt":"My AI assistant just gave me this response about climate change — can you extract every atomic claim it made so I can check which ones are actually grounded in evidence?"},{"title":"Research paper claim decomposition","prompt":"Here's the abstract from a research paper — pull out each distinct factual claim it makes so I can cross-reference them against the study's actual findings."}],"resultDescription":"A structured list of atomic claims extracted from the input text, where each claim is a single, discrete, individually verifiable statement decomposed from the original content.","failureModes":["Missing required 'input' field returns a validation error","Non-JSON body type rejected — bodyType must be 'json'","Empty or very short input may yield no claims extracted","Payment not included or insufficient USDC triggers 402 Payment Required","Malformed HTTP method (non-POST) is rejected","Very long documents may exceed token or processing limits"],"whenToPreferThis":"Choose this endpoint when you need to decompose unstructured text into granular, individually testable claims before running grounding or fact-checking checks. It is especially useful as a preprocessing step ahead of a claim-grounding gate, allowing you to verify each assertion independently rather than evaluating a passage as a whole. Prefer it over general NLP extraction APIs when your workflow specifically involves verifying factual accuracy of generated or retrieved content.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-18T06:37:44.227Z","isFirstParty":false}