{"uid":"cap_h81NfbjSnNxGJ67IEIvzM","slug":"genomics-fraud-detection-translator-mcp-e89a7028","name":"Genomics Fraud Detection Translator 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-fraud-detection-translator-mcp-120/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["image"],"properties":{"image":{"type":"string"}}},"responseSchema":{"type":"object","required":["analysis"],"properties":{"analysis":{"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":"$0.782042/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.782042","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.782042","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_FRpQP8iF9xjtjZ2J0m_ZP","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.782042","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes an image to detect genomics-related fraud, returning a boolean analysis result","exampleAgentPrompt":"Can you check this genomics report image and tell me whether it looks fraudulent or not?","exampleUseCases":[{"title":"Lab result authenticity screening","prompt":"I have a scanned image of a genomics lab report submitted by a patient — can you run it through fraud detection and tell me if it appears to be legitimate or fake?"},{"title":"Insurance claim genomics verification","prompt":"We received a genomics test result image as part of an insurance claim. Can you analyze this image and flag it if it looks fraudulent?"},{"title":"Research data integrity check","prompt":"Before we onboard this genomics dataset submission, can you scan the accompanying report image to check whether it shows any signs of fraud or manipulation?"}],"resultDescription":"Returns a JSON object with an 'analysis' boolean field — true indicating fraud detected, false indicating the image appears legitimate. No additional detail or confidence score is provided in the response schema.","failureModes":["Missing 'image' field in request body returns a validation error","Non-image or malformed base64/URL string may cause processing failure","Payment failure via x402 protocol results in 402 status before execution","Ambiguous or very low-resolution images may yield unreliable boolean results","Network or node availability issues on the M2MCent infrastructure may cause timeouts"],"whenToPreferThis":"Use this endpoint when you need a quick binary fraud/legitimate classification on a genomics image document, particularly in automated pipelines processing insurance claims, lab report submissions, or research data onboarding. It is optimized for low-latency single-image checks with gasless USDC micropayment settlement via x402 on Base L2, making it suitable for high-frequency per-image screening workflows where cost per call matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T18:47:21.512Z","isFirstParty":false,"canonicalSlug":"genomics-fraud-detection-translator-mcp-e89a7028"}