{"uid":"cap_o5UPKuBxZz_coFUhW5_Aw","slug":"genomics-fraud-detection-classifier-e7893511","name":"Genomics Fraud Detection Classifier","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-classifier-mcp-412/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["data"],"properties":{"data":{"type":"string"}}},"responseSchema":{"type":"object","required":["result"],"properties":{"result":{"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":"$1.323622/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.323622","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.323622","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_1xXi-f9XCYVbpmTUnU9rT","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"1.323622","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Classifies genomics-related data to detect potential fraud, returning a boolean fraud/no-fraud determination","exampleAgentPrompt":"Run fraud detection on this genomics data string and tell me whether it looks fraudulent: 'ATCGGCTA...sample-batch-2024-XR9'","exampleUseCases":[{"title":"Screening submitted genomics samples","prompt":"I have a genomics data record from a third-party lab submission — can you classify whether it looks fraudulent or legitimate? Here's the raw data string: 'GCTAGCTAGCTA-LAB-402-SUBMISSION-2024'."},{"title":"Automated pipeline fraud check","prompt":"Before we process this genomics batch record in our pipeline, flag it if it appears fraudulent — run it through the classifier on this input: 'SEQ-BATCH-009-ATCGATCG-TAMPERED'."},{"title":"Research data integrity verification","prompt":"Can you verify whether this genomics data I received from a collaborator seems fraudulent or legitimate? The data is: 'TTAGCGATCG-COLLABORATOR-DATASET-V3'."}],"resultDescription":"Returns a JSON object with a single boolean 'result' field — true if the input genomics data is classified as fraudulent, false if it appears legitimate.","failureModes":["Missing 'data' field in request body returns validation error","Malformed or empty string input may yield unreliable classification","Payment failure via x402 protocol blocks execution","Network timeout if MCP node is unavailable","Ambiguous or non-genomics data strings may produce low-confidence or incorrect classifications"],"whenToPreferThis":"Use this endpoint when you need a fast, automated boolean fraud/legitimacy verdict on a genomics data string, particularly in pipelines where a simple true/false flag is sufficient and you want to avoid building custom ML classifiers. Not suited for detailed explanations of why data is fraudulent or for non-genomics domains.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T12:45:23.832Z","isFirstParty":false,"canonicalSlug":"genomics-fraud-detection-classifier-e7893511"}