{"uid":"cap_oQkRncBn5-wFVmKU7YmK1","slug":"bias-drift-monitor-mcp-334022d3","name":"Bias Drift Monitor 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/bias-drift-monitor-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_7-W0lZGiT7oorp0z3O-J-","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":"Monitors AI model outputs or datasets for bias drift over time, flagging shifts in fairness metrics or demographic disparities","exampleAgentPrompt":"Can you run a bias drift check on this batch of model predictions and tell me if there are any significant shifts in fairness metrics or demographic disparities compared to baseline?","exampleUseCases":[{"title":"Production model fairness monitoring","prompt":"My recommendation model has been running in production for two months — can you analyze this sample of its recent outputs and check whether any demographic bias has crept in compared to when we first deployed it?"},{"title":"Pre-deployment bias audit","prompt":"Before we ship this new classifier, run a bias drift analysis on these test predictions to make sure it hasn't picked up any unfair patterns toward protected groups that weren't there during training."},{"title":"Compliance bias reporting","prompt":"I need to generate a bias drift report for our quarterly AI ethics review — here's the latest batch of model outputs, can you check for any measurable shifts in fairness or demographic disparities?"}],"resultDescription":"Returns a structured report indicating detected bias drift, including fairness metric scores, demographic disparity indicators, drift severity ratings, and flags for any significant deviations from expected baseline fairness levels.","failureModes":["Empty or malformed data string returns a validation error","Insufficient data volume may produce unreliable drift metrics","Missing demographic labels in input data may prevent disparity analysis","Service timeout on very large payloads","Payment failure via x402 protocol blocks request processing"],"whenToPreferThis":"Choose this endpoint when you need automated, per-call bias drift detection without standing up your own fairness monitoring infrastructure. Best suited for agents that need to audit model outputs on-demand, integrate fairness checks into CI/CD pipelines, or generate compliance reports. Prefer this over manual audits or generic analytics tools when the specific concern is temporal drift in bias metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T07:15:00.231Z","isFirstParty":false}