{"uid":"cap_SMpkbEKNcEN1qqEKqF28h","slug":"m2mcent-nlp-metadata-predictor-mcp-53cbc191","name":"M2MCent NLP Metadata Predictor 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-metadata-predictor-mcp-543/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["dataset"],"properties":{"dataset":{"type":"string"}}},"responseSchema":{"type":"object","required":["report"],"properties":{"report":{"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":"$0.030691/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.030691","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.030691","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_dZHFEGhtzejwPdS4mgErD","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.030691","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs an NLP metadata prediction job against a provided dataset and returns a boolean report result","exampleAgentPrompt":"Run an NLP metadata prediction on this dataset string and tell me whether the report comes back true or false: 'product reviews corpus Q1 2024'.","exampleUseCases":[{"title":"Validate dataset metadata quality","prompt":"I have a dataset called 'customer_feedback_2024_raw' — can you run it through the NLP metadata predictor and tell me if the report flags it as valid?"},{"title":"Predict metadata labels for text corpus","prompt":"Run my text corpus 'news_articles_march_2024' through the NLP metadata predictor and give me the boolean result so I can decide whether to proceed with downstream processing."},{"title":"Automated pipeline metadata check","prompt":"Before I push 'ecommerce_product_descriptions_v3' into my training pipeline, use the NLP metadata predictor to check it and return the report flag."}],"resultDescription":"Returns a JSON object with a single 'report' field containing a boolean value — true or false — indicating the NLP metadata prediction outcome for the submitted dataset.","failureModes":["Missing 'dataset' field returns a validation error","Empty string dataset may return false or an error","Malformed JSON request body causes a 400-level error","Network timeout on large dataset strings","x402 payment failure prevents execution and returns 402"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost boolean NLP metadata prediction verdict on a dataset string, particularly within an x402-enabled agentic pipeline on Base L2 that requires gasless USDC micropayments. It is best suited for lightweight classification or validation checks rather than deep semantic analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T01:02:53.131Z","isFirstParty":false,"canonicalSlug":"m2mcent-nlp-metadata-predictor-mcp-53cbc191"}