{"uid":"cap_pVH50MP0QdA_5B0C-DizG","slug":"m2mcent-data-analytics-fraud-detection-optimizer-mcp-2288c704","name":"M2MCent Data Analytics Fraud Detection Optimizer 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/data-analytics-fraud-detection-optimizer-mcp-550/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":"$1.444552/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.444552","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.444552","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_ty2S-rOR3u51UfOJwCTP-","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"1.444552","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Executes a monetized remote MCP node for data analytics and fraud detection optimization via x402 micropayment protocol on Base L2.","exampleAgentPrompt":"Run the fraud detection optimizer on this transaction dataset and return the analysis results — I need to identify suspicious patterns in recent payment activity.","exampleUseCases":[{"title":"Real-time payment fraud screening","prompt":"Can you run fraud detection on this batch of payment transactions and flag any suspicious ones? Here's the transaction data in JSON format."},{"title":"Fraud detection model optimization","prompt":"I want to optimize my fraud detection parameters for our e-commerce platform — run the analytics optimizer with our current transaction patterns and tell me what it finds."},{"title":"Anomaly detection in financial data","prompt":"Analyze this financial dataset for anomalies and fraud indicators — I need to know if there are any unusual patterns before we process end-of-month settlements."}],"resultDescription":"Returns a JSON object with a boolean 'status' field indicating whether the fraud detection optimization execution succeeded, along with any additional analytics output generated by the MCP node.","failureModes":["Invalid or malformed parameters string returns an error","Payment settlement failure via x402 protocol causes execution abort","MCP node unavailable or overloaded returns a failure status","Empty parameters field results in validation error","Network timeout on Base L2 settlement causes delayed or failed response"],"whenToPreferThis":"Choose this endpoint when you need a monetized, pay-per-use fraud detection and data analytics computation via the MCP protocol with gasless USDC micropayments on Base L2, particularly when token context efficiency is a concern.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T12:43:11.013Z","isFirstParty":false,"canonicalSlug":"m2mcent-data-analytics-fraud-detection-optimizer-mcp-2288c704"}