{"uid":"cap_YC1hEEwkWfPJLNrS5TNe5","slug":"join-coverage-record-quality-audit-trailing-mean-series-88148232","name":"Join Coverage Record Quality Audit + Trailing Mean Series","description":"Join coverage — Record quality audit + Trailing mean series: Record quality audit + Trailing mean series 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-09-010?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_0w_Ys79l0gsPkEe-UsHkB","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":"Runs two local analytical reports on join coverage data: a record quality audit and a trailing mean series for matched_rows or source_rows fields.","exampleAgentPrompt":"Can you run a record quality audit and trailing mean series on my join coverage data — here are 4 rows with matched_rows and source_rows by date for groups 'group-a' and 'group-b', use matched_rows as the field and a window of 3?","exampleUseCases":[{"title":"ETL pipeline join coverage audit","prompt":"I have 50 rows of join coverage results from our nightly ETL — each row has a date, dataset_group, matched_rows, and source_rows. Can you run the record quality audit and trailing mean series on matched_rows with a window of 7 so I can spot any data quality issues?"},{"title":"Dataset group trailing mean trend analysis","prompt":"Can you analyze my join coverage data across two dataset groups over the past 30 days? I want both the quality audit and a rolling mean on source_rows with a window of 5 to see how coverage is trending."},{"title":"Pre-report join coverage validation","prompt":"Before I publish our weekly data report, run a quality audit and trailing mean check on these 100 join coverage rows — use matched_rows as the target field and a window of 4 — so I can confirm the data looks clean."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit flagging data issues in the supplied join coverage rows, and (2) a trailing mean series computed over the specified field (matched_rows or source_rows) using the given rolling window size — all computed locally without external lookups.","failureModes":["Empty or missing rows array returns an error","More than 200 rows submitted exceeds the limit","Invalid date format (not YYYY-MM-DD) causes validation failure","Window value outside the range 2–200 is rejected","Field value other than 'matched_rows' or 'source_rows' is rejected","Null values in matched_rows or source_rows may affect trailing mean computation"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a rolling mean series on join coverage metrics (matched_rows, source_rows) in a single low-cost call. It is ideal for ETL validation workflows, pre-reporting data checks, and trend analysis on join coverage data without requiring any external data sources or live lookups. Best suited for batches of up to 200 rows at $0.01 per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:35.534Z","isFirstParty":false,"canonicalSlug":"join-coverage-record-quality-audit-trailing-mean-series-88148232"}