{"uid":"cap_xqkrycwA1HCwWDl3Y7aCO","slug":"llm-response-completeness-check-e0b8ba5d","name":"LLM Response Completeness Check","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_completeness_check/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_completeness_check","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_completeness_check","executionId":"example-execution","startedAtMs":0,"amountAtomic":"10000","resultSha256":"18dfed6bfadae365ba3762b1adeadcc7d5682915517675c385691d06ac8b5050","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_FtXkI5j_garhTO0vPgpVq","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 an LLM response against its originating request to detect gaps, missing information, or incomplete answers.","exampleAgentPrompt":"Can you check whether this LLM response actually covered everything the user asked for? Here's the request and response JSON — I need to know if anything was missed or left incomplete.","exampleUseCases":[{"title":"QA gate for agent-generated answers","prompt":"Before sending this LLM-generated support reply to the customer, run a completeness check on it — make sure it actually addressed all three questions the user asked. Here's the full request and response JSON."},{"title":"Multi-step prompt fulfillment audit","prompt":"I had the model summarize a contract and extract key clauses, but I'm not sure it got everything. Can you run a completeness check on the response against the original prompt to see if any clauses were skipped?"},{"title":"Chatbot response quality monitoring","prompt":"We're logging all chatbot interactions — can you check this LLM response JSON to see if the bot fully answered the user's question or left anything out?"}],"resultDescription":"Returns a JSON analysis object containing completeness findings, a list of warnings about potential gaps or unverified data, an evidence scope label indicating the source of the analysis (e.g. caller_supplied_data), and the original service ID — all wrapped in a standard SignalHarness receipt with payment and execution metadata.","failureModes":["Malformed or invalid request_json causes parsing failure","Input JSON exceeding 65536 characters is rejected","Incomplete or ambiguous input context leads to low-confidence analysis","Network or payment failure returns non-succeeded status","Caller-supplied data warnings remind that results depend on input quality"],"whenToPreferThis":"Use this endpoint when you need a lightweight, pay-per-call completeness check on an LLM response without standing up your own evaluation infrastructure. Ideal for agent pipelines that need to gate on response quality before passing output downstream, especially when integrated with x402 micropayment flows on Base.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T19:01:28.469Z","isFirstParty":false}