{"uid":"cap_NDLl4aWHbBnlxGzJWDR7H","slug":"healthcare-fraud-detection-classifier-mcp-cf861bba","name":"Healthcare Fraud Detection 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/healthcare-fraud-detection-classifier-mcp-235/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["data"],"properties":{"data":{"type":"string"}}},"responseSchema":{"type":"object","required":["hash"],"properties":{"hash":{"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":"$0.813695/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.813695","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.813695","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm__pawO4xDvwKwHvB27xup9","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.813695","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Classifies healthcare data to detect potential fraud using a remote MCP node with per-call USDC micropayment settlement.","exampleAgentPrompt":"Can you run this healthcare claim record through the fraud detection classifier and tell me if it looks fraudulent? Here's the data: 'Patient ID 8821, CPT code 99215, billed 12 times in one day for the same provider.'","exampleUseCases":[{"title":"Insurance claim fraud screening","prompt":"I have a batch of insurance claims I'm suspicious about — can you classify this one for fraud? The data is: 'Provider NPI 1234567890, billed $4,800 for 30-minute consultations on 47 patients in a single day.'"},{"title":"Medical billing anomaly detection","prompt":"Check this medical billing entry for fraud indicators: 'Claim ID 99321, diagnosis code Z00.00, procedure billed is a complex surgery costing $18,000, but patient is listed as a routine wellness visit.'"},{"title":"Compliance audit of patient records","prompt":"Run this patient record through the healthcare fraud classifier as part of our compliance audit: 'Patient visited 6 different ERs in 3 days across 3 states, each billing for full evaluation codes.'"}],"resultDescription":"Returns a JSON object with a 'hash' boolean field indicating whether the submitted healthcare data was classified as fraudulent (true) or not (false).","failureModes":["Missing or empty 'data' field returns validation error","Malformed input string may return unexpected boolean result","Payment failure via x402 protocol blocks request execution","Low-quality or ambiguous healthcare data may yield unreliable classification","Service unavailability on the remote MCP node returns 5xx error"],"whenToPreferThis":"Use this endpoint when you need a lightweight, pay-per-call fraud classification signal on healthcare text data without setting up a full ML pipeline. Best suited for agents that need to screen individual claims or records on demand with minimal overhead and no subscription commitment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T00:41:30.989Z","isFirstParty":false,"canonicalSlug":"healthcare-fraud-detection-classifier-mcp-cf861bba"}