{"uid":"cap_IkGC_3mQKSwRTUhTS-Tqh","slug":"healthcare-image-recognition-simulator-mcp-fe42196e","name":"Healthcare Image Recognition Simulator 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-simulator-mcp-541/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["parameters"],"properties":{"parameters":{"type":"string"}}},"responseSchema":{"type":"object","required":["status"],"properties":{"status":{"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":"$0.610417/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.610417","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.610417","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_20_XCh_La0-VnqlOi2HNA","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.610417","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Executes a simulated healthcare image recognition task via a monetized MCP node, returning a pass/fail status result.","exampleAgentPrompt":"Run a healthcare image recognition simulation using the M2MCent MCP node and pass in my image parameters to get back whether the recognition succeeded.","exampleUseCases":[{"title":"Radiology image recognition test","prompt":"I need to simulate a radiology image recognition task — can you run it through the healthcare image recognition simulator with these parameters and tell me if it passes?"},{"title":"Medical AI pipeline validation","prompt":"Can you test our medical image recognition pipeline by running a simulation with these parameters and confirming whether the recognition status comes back as true?"},{"title":"Healthcare vision model smoke test","prompt":"Run a quick smoke test on the healthcare image recognition simulator MCP node with my test parameters and let me know if the status is successful."}],"resultDescription":"Returns a JSON object with a boolean 'status' field indicating whether the healthcare image recognition simulation succeeded (true) or failed (false).","failureModes":["Missing or malformed 'parameters' string returns a 400-level error","Payment failure via x402 protocol results in 402 Payment Required and no execution","Node unavailability or network timeout returns a 5xx error","Invalid parameter content may return status: false without further detail","Insufficient USDC balance blocks execution"],"whenToPreferThis":"Choose this endpoint when you need to simulate or prototype healthcare image recognition workflows within a monetized MCP node architecture, especially when testing AI agent pipelines that require pay-per-call settlement via x402 on Base L2. Best suited for simulation and testing scenarios rather than production-grade diagnostic imaging.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T12:46:38.243Z","isFirstParty":false,"canonicalSlug":"healthcare-image-recognition-simulator-mcp-fe42196e"}