{"uid":"cap_M_CvZgItIS4aHk7Em1TSR","slug":"llm-response-citation-extractor-b01a0b2e","name":"LLM Response Citation Extractor","description":"Explore 330 pay-per-call x402 API services and 27 agent-native digital products, with Base USDC pricing, secure Polar checkout, and free discovery.","url":"https://signalharness.ai/api/agent/services/llm_response_citation_extract/invoke","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"request_json":{"type":"string","maxLength":65536,"minLength":2}}},"responseSchema":{"type":"json","example":{"replay":false,"result":{"warnings":["Verify the caller-supplied data before relying on this result."],"service_id":"llm_response_citation_extract","analysis_json":"{\"example\":\"schema-valid caller-supplied data\"}","evidence_scope":"caller_supplied_data"},"status":"succeeded","receipt":{"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","usage":[],"status":"succeeded","network":"eip155:8453","artifacts":[],"endedAtMs":0,"latencyMs":0,"paymentId":"example-payment","receiptId":"example-receipt","requestId":"example-request","serviceId":"llm_response_citation_extract","executionId":"example-execution","startedAtMs":0,"amountAtomic":"5000","resultSha256":"c528ef1141727c7a84ef895b9168746d0c4cc53d622f123a7aa308650fe00a39","serviceVersion":"1.0.0","settlementReference":"0x0000000000000000000000000000000000000000000000000000000000000000"},"artifacts":[],"requestId":"example-request","executionId":"example-execution"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.005","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":"$0.005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_JHXNwN8m4XPo3jWqlKwIY","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts and identifies citations, references, and sourced claims from LLM-generated text responses","exampleAgentPrompt":"I have this long AI-generated research summary and I want you to extract all the citations and referenced sources from it — can you pull out every citation mentioned in the text and return them as structured data?","exampleUseCases":[{"title":"Research report citation audit","prompt":"I just got this 2,000-word AI-written research report and I need to know every source it cites — can you extract all citations and references from it so I can verify them?"},{"title":"RAG pipeline source attribution","prompt":"My RAG system returned this answer to a user question and I need to pull out all the document citations it included so I can show the user where the information came from."},{"title":"Fact-checking AI news summary","prompt":"Here's an AI-generated news summary — can you extract every citation or source reference in it so I can cross-check the claims against the original articles?"}],"resultDescription":"Returns a JSON object containing an analysis_json field with extracted citation data, along with a status field indicating success, warnings about verifying caller-supplied data, a service_id, and a full receipt with payment and execution metadata including requestId, executionId, and a resultSha256 hash for integrity verification.","failureModes":["Malformed or non-JSON request_json input returns a validation error","LLM response text with no citations returns empty citation list with warnings","Input exceeding 65,536 character limit is rejected","Ambiguous in-text references may be missed or misidentified","Payment failure via x402 protocol prevents execution"],"whenToPreferThis":"Choose this endpoint when you need to programmatically extract citations and source references from LLM-generated text at scale via a pay-per-call API, especially in RAG pipelines, research workflows, or fact-checking agents where attribution and source traceability matter. Prefer it over manual parsing when you need structured, machine-readable citation output from free-form AI responses.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T13:13:27.886Z","isFirstParty":false}