{"uid":"cap_VsGy2w-U9NHd_Gdqm7ff3","slug":"signalharness-rag-context-coverage-report-2a707222","name":"SignalHarness RAG Context Coverage 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/rag_context_coverage_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":"rag_context_coverage_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":"rag_context_coverage_report","executionId":"example-execution","startedAtMs":0,"amountAtomic":"25000","resultSha256":"00e45edd7a4b1e3381d57f8fd589a60967262984626fe627bbcfe494749a3395","serviceVersion":"1.0.0","settlementReference":"0x0000000000000000000000000000000000000000000000000000000000000000"},"artifacts":[],"requestId":"example-request","executionId":"example-execution"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.025","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":"$0.025/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.025","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.025","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_SNy8VrM-G8qTTCoiIAYvb","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.025","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes a caller-supplied JSON payload to generate a coverage report assessing how well RAG (Retrieval-Augmented Generation) context is represented across a given dataset or query set.","exampleAgentPrompt":"Run a RAG context coverage report on this retrieval dataset — here's the JSON with my query list and retrieved context chunks — and tell me where the gaps are and how well covered each topic is.","exampleUseCases":[{"title":"Audit RAG pipeline before production launch","prompt":"Before I ship my new RAG-powered support bot, can you run a context coverage report on this JSON of test queries and retrieved chunks to see if there are any major gaps or topics that aren't being retrieved well?"},{"title":"Diagnose poor answer quality in chatbot","prompt":"My chatbot is giving weak answers on certain topics — can you analyze this RAG context coverage report JSON I've put together from last week's queries and tell me which areas have insufficient retrieval coverage?"},{"title":"Benchmark knowledge base completeness","prompt":"I just updated my knowledge base and want to verify it covers all the topics in our FAQ. Here's the JSON with the FAQ questions and the retrieved context snippets — can you generate a coverage report so I can see what's missing?"}],"resultDescription":"Returns a JSON object containing an analysis_json field with the coverage assessment, a list of warnings about data reliability, an evidence_scope label indicating the data was caller-supplied, and a full execution receipt including payment details, latency, and a SHA-256 hash of the result for verification.","failureModes":["Invalid or malformed request_json causes a parsing error","request_json shorter than 2 characters or exceeding 65536 characters triggers a validation error","Caller-supplied data that doesn't conform to expected RAG schema may produce low-confidence or empty analysis","Payment failure on the x402 protocol results in no execution","Network or service timeout yields no result"],"whenToPreferThis":"Choose this endpoint when you need a structured, automated audit of RAG retrieval coverage and want a machine-readable report rather than a manual review. It is especially useful when you have a well-formed JSON payload of queries and retrieved context ready to submit and need a fast, per-call diagnostic without committing to a recurring service. Prefer this over general LLM-based analysis when you want a consistent, receipted, verifiable output with a SHA-256 result hash.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T07:02:42.070Z","isFirstParty":false}