{"uid":"cap_bDh6mSH2AcGdjSFij3rxJ","slug":"data-poisoning-detector-mcp-5268c38c","name":"Data Poisoning Detector 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-poisoning-detector-mcp/api/process","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"payload":{"type":"string"}}},"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.22","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":"$0.22/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.22","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.22","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_zn92xdUFQqlJQFw9Yiamz","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.22","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes input data to detect signs of data poisoning attacks or adversarial manipulation in datasets or model training inputs","exampleAgentPrompt":"Can you scan this dataset for data poisoning or adversarial manipulation? Here's the data: 'label,feature1,feature2\\n0,0.1,0.2\\n1,99.9,0.1\\n0,0.2,0.3'","exampleUseCases":[{"title":"Verifying ML training data integrity","prompt":"I'm about to train a model on this collected dataset — can you run it through the data poisoning detector to make sure no one has tampered with or injected adversarial samples into it? Here's the serialized data: 'sample_id,label,value\\n1,cat,0.45\\n2,dog,0.88\\n3,cat,99.1'"},{"title":"Detecting backdoor injection in NLP corpus","prompt":"Check this text corpus for signs of data poisoning or backdoor triggers before I use it for fine-tuning: 'The product is great. The product is great CF. The service was excellent. The service was excellent CF.'"},{"title":"Auditing third-party data supply chain","prompt":"I received this dataset from a third-party vendor and I want to verify it hasn't been poisoned before ingesting it into our pipeline. Can you run a data poisoning detection check on it? Data: 'user_id,score,category\\n101,0.9,A\\n102,0.1,B\\n103,999.0,A'"}],"resultDescription":"Returns an assessment of whether the submitted data contains signs of data poisoning, adversarial manipulation, label flipping, or backdoor injection, likely including a verdict, confidence level, and details about detected anomalies or suspicious patterns.","failureModes":["Empty or malformed data string returns validation error","Extremely large data payloads may time out or be rejected","Non-string or unsupported data formats may cause parsing failures","Payment failure (402) if USDC balance is insufficient","Ambiguous or benign anomalies may produce false positives"],"whenToPreferThis":"Use this endpoint when you need to programmatically verify that a dataset or training corpus has not been tampered with through data poisoning techniques before using it in machine learning pipelines. Prefer this over manual inspection when dealing with untrusted third-party data sources, automated data pipelines, or when building AI safety and integrity guardrails into an agentic workflow.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T13:18:21.459Z","isFirstParty":false}