{"uid":"cap_cFe_4bd2qXmQ-f5ikatXI","slug":"llm-response-instruction-coverage-analyzer-58276c4d","name":"LLM Response Instruction Coverage 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/llm_response_instruction_coverage/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_instruction_coverage","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_instruction_coverage","executionId":"example-execution","startedAtMs":0,"amountAtomic":"15000","resultSha256":"81227a74b63c47945c64d1be8aed16b37eff0bc1659472984905a7e0fd2b0a3a","serviceVersion":"1.0.0","settlementReference":"0x0000000000000000000000000000000000000000000000000000000000000000"},"artifacts":[],"requestId":"example-request","executionId":"example-execution"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.015","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":"$0.015/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.015","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.015","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_2gUGc2T04gR_s4TpdNYs2","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.015","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes an LLM response JSON to determine how well it covers the instructions provided, identifying gaps and warnings.","exampleAgentPrompt":"Can you check this LLM response JSON and tell me how well it covered the instructions I gave it — specifically flag any instructions that were missed or only partially addressed?","exampleUseCases":[{"title":"Audit AI chatbot response quality","prompt":"I have a JSON object with the system instructions and the model's response from my customer support bot — can you analyze it to see which instructions were followed and which were skipped?"},{"title":"QA pipeline for prompt compliance","prompt":"As part of my QA pipeline, check this LLM output JSON and score how thoroughly it covered all the instructions in the prompt, and list any warnings about gaps."},{"title":"Evaluate fine-tuned model instruction adherence","prompt":"I'm testing a fine-tuned model and I want to know how well its response covered the original instruction set — here's the request JSON with both the instructions and the model output."}],"resultDescription":"Returns a JSON analysis object containing coverage assessment results, a list of warnings about uncovered or questionable instruction adherence, the evidence scope (caller-supplied data), and the service ID. Wrapped in a standard receipt with payment details, request/execution IDs, a SHA256 result hash, and status information.","failureModes":["Invalid or malformed request_json string returns an error","request_json exceeding 65536 characters is rejected","Missing required request_json field causes request failure","Ambiguous or incomplete input data may produce low-confidence analysis with generic warnings","Payment failure via x402 results in no execution"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, pay-per-call API to programmatically assess whether an LLM response adequately covers a set of instructions — especially useful in automated QA pipelines, agent monitoring systems, or fine-tuning evaluation loops where you need a structured JSON analysis with auditable receipts.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T07:03:15.490Z","isFirstParty":false}