{"uid":"cap_jTDHxi0kMuJh1FuN6KYmd","slug":"llm-response-repetition-analyzer-440ffec4","name":"LLM Response Repetition 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_repetition_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":"llm_response_repetition_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":"llm_response_repetition_analyze","executionId":"example-execution","startedAtMs":0,"amountAtomic":"10000","resultSha256":"e81571aece6b49a3f25949d189378dd5343bd55dd59e86a789285dbd3e400b7e","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_UG0fXVZaGfhHoQSgxS70p","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 LLM-generated text for repetition patterns and redundancy issues","exampleAgentPrompt":"Can you check this LLM-generated response for repetition issues? Here's the text: 'The cat sat on the mat. The cat sat on the mat. The cat really did sit on the mat and it was a mat where the cat sat.'","exampleUseCases":[{"title":"Chatbot output quality gate","prompt":"Before we send this AI-generated customer support reply to the user, can you check it for repetition problems? Here's the draft response: 'Thank you for contacting us. We appreciate you contacting us. Your issue is important to us and we are here to help you with your issue.'"},{"title":"LLM fine-tuning data validation","prompt":"I'm building a training dataset and need to filter out repetitive model outputs. Can you analyze this generated text sample for repetition so I know whether to include it: 'Photosynthesis is the process by which plants convert light. Plants convert light through photosynthesis, which is the process plants use to convert light energy.'"},{"title":"Automated pipeline repetition monitoring","prompt":"My text generation pipeline just produced this output — can you run a repetition analysis on it to see if the model got stuck in a loop? The output is: 'Step one is to initialize the system. Initialize the system in step one. The first step involves initializing the system before proceeding to initialize.'"}],"resultDescription":"Returns a JSON object containing a repetition analysis result with an analysis_json field holding detailed findings, a warnings array noting data provenance caveats, the service_id confirming which analysis was run, and a receipt object with payment metadata including network, amount, timing, and a SHA-256 hash of the result for verification.","failureModes":["Malformed or non-JSON request_json input returns validation error","Input text too short to detect meaningful repetition patterns","Input exceeding 65536 character limit is rejected","Payment failure via x402 protocol blocks execution","Caller-supplied data warnings remind consumers results depend on input quality"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, pay-per-call (no subscription) signal specifically for LLM repetition detection — particularly useful in agent pipelines that need a cheap quality gate before surfacing generated text to users, or when building automated evaluation harnesses for LLM outputs where repetition is a known failure mode. Prefer it over general text-quality APIs when you specifically need repetition/redundancy detection rather than broader grammar or style checks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T13:03:12.094Z","isFirstParty":false}