{"uid":"cap_aOp1kzTp5tKymTyojrmXZ","slug":"signalharness-retrieval-failure-diagnosis-report-076ca5ea","name":"SignalHarness Retrieval Failure Diagnosis 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/retrieval_failure_diagnosis_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":"retrieval_failure_diagnosis_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":"retrieval_failure_diagnosis_report","executionId":"example-execution","startedAtMs":0,"amountAtomic":"30000","resultSha256":"c0fbea0da94bcaeae2a97998762dcc41125e230896c017f359594c7bd44905f5","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_FILGDIHGdROmx1MgZyPYr","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":"Analyzes caller-supplied retrieval context data and returns a structured diagnostic report identifying failure modes and warnings in a retrieval pipeline.","exampleAgentPrompt":"I'm getting poor retrieval results from my RAG pipeline — can you run a retrieval failure diagnosis on this context data and tell me what's going wrong: {\"query\": \"revenue growth Q3\", \"retrieved_chunks\": [], \"index_size\": 12000, \"embedding_model\": \"text-embedding-3-small\"}?","exampleUseCases":[{"title":"Debugging empty RAG retrieval results","prompt":"My RAG system keeps returning empty results for certain queries — can you run a retrieval failure diagnosis on this pipeline snapshot and tell me what failure modes are present: {\"query\": \"product pricing tiers\", \"retrieved\": [], \"top_k\": 5, \"similarity_threshold\": 0.85}?"},{"title":"Identifying vector search quality issues","prompt":"Our semantic search is returning completely irrelevant documents — please diagnose this retrieval failure and give me a structured analysis: {\"query\": \"customer churn prediction\", \"results\": [{\"score\": 0.42, \"doc\": \"office supply inventory\"}], \"expected_domain\": \"analytics\"}"},{"title":"Auditing agent memory retrieval failures","prompt":"My AI agent's memory retrieval keeps missing relevant past context — can you run a failure diagnosis report on this retrieval event to identify what's broken: {\"agent_id\": \"agent-42\", \"retrieval_attempt\": \"find prior user preferences\", \"matches\": 0, \"index\": \"episodic_memory\"}?"}],"resultDescription":"Returns a JSON object containing an analysis_json field with structured diagnostic findings, a warnings array flagging data quality concerns, an evidence_scope field indicating the data provenance (caller_supplied_data), and a full execution receipt with payment details, latency, result hash, and service version information.","failureModes":["Malformed request_json input returns validation error","Empty or too-short JSON string (below minLength:2) rejected","Oversized payload exceeding 65536 characters returns error","Payment failure via x402 protocol blocks execution","Service may return warnings if caller-supplied data cannot be fully validated","Schema-valid but semantically ambiguous data may produce low-confidence diagnosis"],"whenToPreferThis":"Choose this endpoint when you need a structured, auditable diagnostic report on retrieval pipeline failures and want a pay-per-call model with cryptographic receipts. Prefer this over ad-hoc debugging when you need evidence-scoped analysis with traceable execution provenance on the Base network via USDC micropayments.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T12:44:34.924Z","isFirstParty":false}