{"uid":"cap_zdw0eAgSAEudApC2r3d_j","slug":"m2mcent-nlp-fraud-detection-indexer-mcp-b048e565","name":"M2MCent NLP Fraud Detection Indexer 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/nlp-fraud-detection-indexer-mcp-377/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["dataset"],"properties":{"dataset":{"type":"string"}}},"responseSchema":{"type":"object","required":["summary"],"properties":{"summary":{"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":"$0.444854/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.444854","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.444854","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_zl6XIXLUhGMHQtvSdMur6","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.444854","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes a dataset string for NLP-based fraud signals and returns a boolean fraud detection summary","exampleAgentPrompt":"Run NLP fraud detection on this dataset: 'User submitted payment info with mismatched billing address, unusual velocity, and synthetic identity signals — transaction ID TX-9921.'","exampleUseCases":[{"title":"E-commerce transaction fraud check","prompt":"I have a dataset of transaction records including customer IDs, billing addresses, and order amounts — can you run fraud detection on it to flag any suspicious entries?"},{"title":"Synthetic identity detection in onboarding","prompt":"We're seeing unusual patterns in our new user signups. Can you analyze this dataset of registration data for signs of synthetic identity fraud?"},{"title":"NLP fraud scan on support tickets","prompt":"Check this batch of customer support messages for fraudulent claims or social engineering attempts — the dataset is a concatenated string of the latest 50 tickets."}],"resultDescription":"Returns a JSON object with a single boolean 'summary' field indicating whether fraud was detected in the submitted dataset (true = fraud detected, false = no fraud detected).","failureModes":["Missing 'dataset' field returns a validation error","Empty string dataset may return false negatives or schema errors","Oversized dataset string may cause timeout or truncation","Malformed JSON input returns a 400-level error","Service unavailability returns a 402 or 5xx error if payment or upstream node fails"],"whenToPreferThis":"Use this endpoint when you need a lightweight, pay-per-call NLP fraud detection signal on a text or structured dataset, especially in automated pipelines where a simple boolean verdict is sufficient and you want to avoid building or hosting a fraud model yourself.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:34:49.374Z","isFirstParty":false,"canonicalSlug":"m2mcent-nlp-fraud-detection-indexer-mcp-b048e565"}