{"uid":"cap_Ufo5gE05Gf-6oZKnglvNW","slug":"signalharness-search-to-answer-evidence-report-f50bb818","name":"SignalHarness Search-to-Answer Evidence Report","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/search_to_answer_evidence_report/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":"search_to_answer_evidence_report","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":"search_to_answer_evidence_report","executionId":"example-execution","startedAtMs":0,"amountAtomic":"30000","resultSha256":"e09b24a889ee3424898e0f289fe50bb11eee990747a1264b52441dfb60796ca3","serviceVersion":"1.0.0","settlementReference":"0x0000000000000000000000000000000000000000000000000000000000000000"},"artifacts":[],"requestId":"example-request","executionId":"example-execution"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.03","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":"$0.03/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_dAY4m5St7PmHSVEoKB2GQ","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.03","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Takes caller-supplied data as input, runs a search-to-answer analysis, and returns a structured evidence report with analysis JSON and sourcing warnings.","exampleAgentPrompt":"Run a search-to-answer evidence report on this question: 'What are the main regulatory risks facing stablecoin issuers in the US in 2024?' — return the analysis JSON with any evidence warnings included.","exampleUseCases":[{"title":"Competitive landscape evidence report","prompt":"Can you pull together a search-to-answer evidence report on the competitive landscape for AI coding assistants — who the major players are, their pricing, and their key differentiators? Give me the structured analysis JSON."},{"title":"Regulatory risk research synthesis","prompt":"I need an evidence report on current FDA regulations around LDTs (lab-developed tests) — search for the latest developments and give me a structured answer with any caveats about source reliability."},{"title":"Due diligence fact-finding on a company","prompt":"Run a search-to-answer evidence analysis on Anthropic's funding history, key investors, and latest valuation round, and return the findings as a structured JSON report with sourcing warnings."}],"resultDescription":"Returns a JSON object containing: an analysis_json field with the structured answer/evidence findings, an evidence_scope field indicating data provenance (e.g. 'caller_supplied_data'), a warnings array flagging reliability caveats, a status field ('succeeded'), and a signed receipt with payment metadata including the USDC amount, network (Base), request and execution IDs, and a SHA256 hash of the result for integrity verification.","failureModes":["Malformed or too-short request_json (below minLength:2) causes validation failure","Request JSON exceeding 65,536 characters is rejected","Payment not settled on Base network results in 402 response","Analysis may return warnings indicating caller-supplied data could not be independently verified","Result may reflect only caller-supplied data scope rather than live web search if external access is unavailable"],"whenToPreferThis":"Choose this endpoint when you need a structured, evidence-backed answer report in machine-readable JSON format, especially when you want sourcing transparency (evidence_scope and warnings fields) and a cryptographically verifiable result (SHA256 receipt). It is well-suited for research automation pipelines where auditability and structured output matter more than raw web scraping. Prefer it over generic LLM Q&A when you need a pay-per-call, receipt-verified evidence synthesis step in an agent workflow.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T13:08:10.198Z","isFirstParty":false}