{"uid":"cap_XFgq8NW3cSAVNd7tgEfLv","slug":"genomics-voice-synthesis-classifier-mcp-f9adcc53","name":"Genomics Voice Synthesis Classifier MCP","description":"The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.","url":"https://api.m2mcent.com/genomics-voice-synthesis-classifier-mcp-745/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string"}}},"responseSchema":{"type":"object","required":["prediction"],"properties":{"prediction":{"type":"boolean"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.15","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":"$1.494172/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.494172","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.494172","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_0C8yysBLJK0JNm_Mo4hX-","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"1.494172","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Classifies input text related to genomics or voice synthesis and returns a boolean prediction","exampleAgentPrompt":"Can you classify this passage and tell me whether it's related to genomics or voice synthesis: 'The CRISPR-modified sequence was transcribed and rendered into a synthetic vocal output at 44kHz'?","exampleUseCases":[{"title":"Genomics research content triage","prompt":"I have this abstract from a paper: 'Whole genome sequencing revealed novel SNPs associated with phoneme production in the FOXP2 locus.' Can you run it through the genomics voice synthesis classifier and tell me if it gets flagged as true?"},{"title":"Voice synthesis detection in user submissions","prompt":"A user submitted this description: 'Our TTS engine uses a neural codec trained on 10,000 hours of speech to produce lifelike vocal synthesis.' Can you classify this text to see if it's about voice synthesis?"},{"title":"Content routing for biotech platform","prompt":"We're building an ingestion pipeline — can you classify this blurb as genomics or voice synthesis related: 'The patient's RNA expression profile was used to generate a personalized audio feedback signal'?"}],"resultDescription":"Returns a JSON object with a single boolean field 'prediction' — true if the input text is classified as genomics or voice synthesis related, false otherwise.","failureModes":["Missing required 'text' field returns a validation error","Empty string input may produce an unreliable prediction","Very long text inputs may be truncated or rejected","Payment failure via x402 protocol results in a 402 response before execution","Ambiguous text unrelated to either domain may yield unpredictable boolean output"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost binary classification specifically for genomics or voice synthesis text. It is well-suited for content triage pipelines, automated tagging systems, or research ingestion tools where you need a simple true/false signal without needing confidence scores or multi-class labels.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T06:51:38.931Z","isFirstParty":false,"canonicalSlug":"genomics-voice-synthesis-classifier-mcp-f9adcc53"}