{"uid":"cap_ChBDsk3sIh0s7hnEP6VTH","slug":"signalharness-rag-chunk-quality-analyzer-5ae0bd86","name":"SignalHarness RAG Chunk Quality Analyzer","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_chunk_quality_analyze/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_chunk_quality_analyze","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_chunk_quality_analyze","executionId":"example-execution","startedAtMs":0,"amountAtomic":"10000","resultSha256":"f7f31387f65b9f2df73808d21904147c3086544a43843a06db5530153a93a335","serviceVersion":"1.0.0","settlementReference":"0x0000000000000000000000000000000000000000000000000000000000000000"},"artifacts":[],"requestId":"example-request","executionId":"example-execution"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_01XfPBM5LkB_SxsuQAKFw","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes the quality of RAG (Retrieval-Augmented Generation) chunks submitted as JSON, returning warnings and quality diagnostics to help optimize retrieval pipelines.","exampleAgentPrompt":"Can you analyze the quality of these RAG chunks I've prepared — here's the JSON with my chunked document data — and tell me what issues or warnings come up?","exampleUseCases":[{"title":"Diagnose poor retrieval in chatbot","prompt":"My RAG-based chatbot keeps giving irrelevant answers. Can you analyze the quality of these document chunks I'm using and tell me what's wrong with them? Here's the chunk data as JSON."},{"title":"Validate chunks before vector indexing","prompt":"Before I index these text chunks into my vector database, can you run a quality check on them and flag any chunks that might cause retrieval problems?"},{"title":"Optimize chunking strategy for legal docs","prompt":"I'm splitting legal documents into chunks for a retrieval system — can you analyze this sample of chunks as JSON and tell me if there are quality issues I should address before going to production?"}],"resultDescription":"Returns a JSON object containing a quality analysis result with an 'analysis_json' field holding the diagnostic output, a list of 'warnings' about the submitted chunk data, an 'evidence_scope' indicator (e.g. 'caller_supplied_data'), and a full receipt with payment details, execution metadata, latency, and a SHA-256 result hash for verification.","failureModes":["Malformed or invalid JSON in request_json field returns an error","Payload exceeding 65,536 characters is rejected","Empty or too-short input (minLength 2) is rejected","Service may return warnings rather than hard errors for low-quality but parseable chunks","Payment failure via x402 protocol prevents execution"],"whenToPreferThis":"Choose this endpoint when you need a quick, automated quality signal on RAG chunks before indexing them into a vector store, or when debugging a retrieval pipeline with poor recall or relevance. At $0.01 USDC per call it is cost-effective for per-chunk or per-batch validation. Prefer this over manual review when operating at scale or within an agentic workflow that needs programmatic quality gates.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T19:01:25.855Z","isFirstParty":false}