{"uid":"cap_JGayQP5qkW8HqPQj1QN0C","slug":"m2mcent-healthcare-image-recognition-analyzer-mcp-0f1c9b23","name":"M2MCent Healthcare Image Recognition Analyzer 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-image-recognition-analyzer-mcp-855/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["parameters"],"properties":{"parameters":{"type":"string"}}},"responseSchema":{"type":"object","required":["score"],"properties":{"score":{"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":"$0.343175/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.343175","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.343175","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_pFqZMi4_kJ3b3qR7yfnj0","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.343175","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes healthcare images using AI recognition and returns a scored boolean result indicating findings or classifications.","exampleAgentPrompt":"Analyze this healthcare image for me using the M2MCent image recognition analyzer — pass these image parameters and tell me what the AI recognition score returns.","exampleUseCases":[{"title":"Radiology scan anomaly detection","prompt":"Run this radiology image through the healthcare image recognition analyzer and tell me if the AI detects any notable findings — here are the image parameters."},{"title":"Clinical image classification screening","prompt":"I need to screen this clinical image for classification — can you send these parameters to the healthcare image recognition analyzer and give me the boolean result?"},{"title":"Automated diagnostic image validation","prompt":"Use the healthcare image recognition analyzer to validate whether this diagnostic image meets the recognition criteria — pass these parameters and return the score."}],"resultDescription":"Returns a JSON object with a boolean 'score' field indicating the AI recognition result for the submitted healthcare image parameters — true if recognized/detected, false otherwise.","failureModes":["Missing or malformed 'parameters' field returns validation error","Invalid image data format causes processing failure","Network or payment settlement failure on Base L2 may result in timeout","Boolean score may not convey confidence level or granular classification details","Opaque input schema means parameter formatting errors are hard to diagnose"],"whenToPreferThis":"Use this endpoint when you need a lightweight, monetized AI-powered healthcare image recognition check via the x402 micropayment protocol on Base L2, especially in agent workflows where USDC-settled per-call billing is acceptable and a simple boolean score output is sufficient for the use case.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T07:24:04.026Z","isFirstParty":false,"canonicalSlug":"m2mcent-healthcare-image-recognition-analyzer-mcp-0f1c9b23"}