{"uid":"cap_TQjMBGiaWT6uZGou6Fnlj","slug":"m2mcent-ai-safety-metadata-optimizer-mcp-node-1355f3d4","name":"M2MCent AI Safety Metadata Optimizer MCP Node","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/ai-safety-metadata-optimizer-mcp-893/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":"$1.255551/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.255551","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.255551","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_nRIVjQPBeEZE8HVk53JQp","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"1.255551","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Executes an AI safety metadata optimization operation on a provided dataset and returns a boolean report result","exampleAgentPrompt":"Run my dataset 'safety_training_corpus_v3' through the AI safety metadata optimizer and give me the report on whether it passes.","exampleUseCases":[{"title":"Training data safety compliance check","prompt":"Can you run my dataset 'ml_training_batch_2024' through the AI safety metadata optimizer and tell me if it passes the safety report?"},{"title":"Pre-deployment dataset validation","prompt":"Before I deploy this model, can you check my dataset 'prod_inference_data' against the AI safety metadata optimizer and return the compliance report?"},{"title":"Automated safety audit pipeline","prompt":"I need to audit my dataset 'user_generated_content_corpus' for AI safety metadata compliance — run it through the optimizer and give me the boolean result."}],"resultDescription":"Returns a JSON object containing a 'report' boolean field indicating whether the dataset passed or failed the AI safety metadata optimization check.","failureModes":["Missing required 'dataset' field returns validation error","Invalid or malformed dataset string may return false report or error","Payment failure via x402 protocol prevents execution","Ambiguous dataset identifier may produce unreliable boolean output","Service unavailability across the MCP node network"],"whenToPreferThis":"Use this endpoint when you need a quick boolean pass/fail result from an AI safety metadata optimization check on a dataset string identifier, and are operating within the x402 payment protocol on Base L2 with USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T12:42:43.945Z","isFirstParty":false,"canonicalSlug":"m2mcent-ai-safety-metadata-optimizer-mcp-node-1355f3d4"}