{"uid":"cap_1y8tJQV4mfhL7WBH1DcuP","slug":"join-coverage-record-quality-audit-numeric-interval-filter-4f1c04bb","name":"Join Coverage Record Quality Audit & Numeric Interval Filter","description":"Join coverage — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter for supplied join coverage records (matched_rows, source_rows). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-008?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","matched_rows","source_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"matched_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_rows":1,"matched_rows":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_rows":2,"matched_rows":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_rows":3,"matched_rows":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_rows":4,"matched_rows":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["matched_rows","source_rows"],"type":"string","default":"matched_rows"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_dr0plFKgQbRd6s9MuWe4t","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Audits record quality and applies a numeric interval filter to join coverage data (matched_rows, source_rows) for up to 200 rows, returning 2 independent analytical reports.","exampleAgentPrompt":"Audit the quality of these join coverage records and filter matched_rows to only flag rows outside the range 0 to 100 — here are 4 rows across group-a and group-b dated 2026-10-01 through 2026-10-04.","exampleUseCases":[{"title":"ETL join coverage anomaly detection","prompt":"I have 150 rows of pipeline join coverage data with matched_rows and source_rows fields — can you run a record quality audit and flag any matched_rows values that fall outside the range 0 to 500?"},{"title":"Data team daily join quality check","prompt":"Run a quality audit on these join coverage records for dataset groups alpha and beta from last week, and filter source_rows to highlight anything below 1 or above 10000."},{"title":"Null and outlier detection in join metrics","prompt":"Check these 80 join coverage rows for null values or quality issues in matched_rows, and also tell me which rows have matched_rows outside the interval 5 to 200."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying nulls, invalid values, and data issues across the supplied rows; and (2) a numeric interval filter report listing which rows have the selected field (matched_rows or source_rows) outside the specified minimum/maximum bounds. Covers up to 200 rows per call. No external lookups or predictions are made.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) in any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Minimum value greater than maximum value — may produce empty or misleading interval filter results","Non-numeric values in matched_rows or source_rows — schema rejection or null handling"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, self-contained quality audit of join coverage tabular data (matched_rows, source_rows) combined with a numeric range filter, without requiring any external data sources, live lookups, or ML predictions. Ideal for data engineers and analysts who want a quick, cheap ($0.01 USDC) dual-report on up to 200 rows of join metrics during pipeline validation or daily monitoring routines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:46.082Z","isFirstParty":false,"canonicalSlug":"join-coverage-record-quality-audit-numeric-interval-filter-4f1c04bb"}