{"uid":"cap_JGH5y1pbPowCwjkWBnGHg","slug":"data-observability-mcp-e082e2a5","name":"Data Observability 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-observability-mcp/api/process?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":null,"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.08","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":"$0.08/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.08","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.08","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm__phCSEqGxeOpgQsQ4UTe7","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.08","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Processes data observability tasks via MCP protocol, monitoring data pipeline health, quality, and lineage","exampleAgentPrompt":"Can you run data observability checks on this dataset and tell me if there are any quality issues, anomalies, or freshness problems: '{\"table\":\"orders\",\"row_count\":14200,\"null_rate\":0.03,\"last_updated\":\"2024-01-15\"}'?","exampleUseCases":[{"title":"ETL pipeline anomaly detection","prompt":"I need you to check this data payload from our orders pipeline for anomalies or unexpected patterns — here's the raw data: '{\"table\":\"transactions\",\"rows\":50000,\"nulls\":1500,\"schema_version\":\"v3\"}'."},{"title":"Data freshness and completeness audit","prompt":"Can you run observability checks on this dataset snapshot to see if it's complete and up to date: '{\"source\":\"user_events\",\"last_loaded\":\"2024-01-10\",\"expected_rows\":200000,\"actual_rows\":198500}'?"},{"title":"Data quality monitoring for analytics","prompt":"Check the quality of this analytics data and flag any issues like missing values, schema drift, or outliers: '{\"dataset\":\"marketing_spend\",\"period\":\"Q4_2023\",\"records\":8200,\"null_rate\":0.08}'."}],"resultDescription":"Returns an observability analysis of the submitted data, including data quality metrics, detected anomalies, freshness assessments, completeness scores, and any flagged issues within the pipeline or dataset.","failureModes":["Malformed or empty data string returns validation error","Unparseable data format results in processing failure","Timeout if data payload is extremely large","Insufficient data context may produce low-confidence results"],"whenToPreferThis":"Choose this endpoint when you need to run automated data observability checks on pipeline or dataset payloads, especially for detecting anomalies, validating quality, or monitoring freshness without building custom monitoring infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T19:01:13.068Z","isFirstParty":false,"canonicalSlug":"data-observability-mcp-e082e2a5"}