{"uid":"cap_2dcmO8H9i3IBEIL4XQCEJ","slug":"join-coverage-analytics-record-quality-audit-secondary-measure-b0525df0","name":"Join Coverage Analytics: Record Quality Audit + Secondary-Measure Weighted Mean","description":"Join coverage — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean 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-09-016?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"}}},"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_uspVSIUOaeJTQDagKxT73","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 analytical reports on join coverage data (matched_rows, source_rows): a record quality audit and a secondary-measure weighted mean, processing up to 200 rows locally with no external lookups.","exampleAgentPrompt":"Can you run a record quality audit and weighted mean report on my join coverage data — I have rows with matched_rows and source_rows fields across two dataset groups, and I want to analyze the matched_rows metric across up to 10 rows dated from 2024-01-01 to 2024-01-10?","exampleUseCases":[{"title":"ETL pipeline join quality check","prompt":"I've got join coverage output from my ETL pipeline with matched_rows and source_rows for about 50 rows across three dataset groups over the past month — can you run a record quality audit and weighted mean on matched_rows to see how healthy the joins look?"},{"title":"Data warehouse coverage audit","prompt":"We're auditing our data warehouse joins for Q1 2024. I have 120 rows with row_id, date, dataset_group, matched_rows, and source_rows — please run both a quality audit and a weighted mean report using source_rows as the secondary measure."},{"title":"Daily join coverage monitoring report","prompt":"Every morning I want to check yesterday's join coverage: here are 15 rows from 2024-06-10 with matched_rows and source_rows across two groups. Can you give me the record quality audit and a weighted mean on matched_rows?"}],"resultDescription":"Returns two analytical reports: (1) a record quality audit flagging issues or anomalies in the join coverage records, and (2) a weighted mean of the selected secondary measure (matched_rows or source_rows) across the supplied rows — both computed locally without external data access.","failureModes":["Exceeding 200 row limit returns a validation error","Missing required fields (row_id, date, matched_rows, source_rows, dataset_group) cause schema validation failure","Invalid date format (non-YYYY-MM-DD) causes rejection","Null or out-of-range numeric values for matched_rows/source_rows may degrade report quality","Payment failure (insufficient USDC) blocks execution"],"whenToPreferThis":"Choose this endpoint when you need two complementary analytical perspectives on join coverage data in a single call — a structural quality audit plus a weighted mean — for up to 200 rows, without requiring any live data lookup or external enrichment. Ideal for data engineers validating ETL join outputs or monitoring pipeline health offline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:28.493Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-record-quality-audit-secondary-measure-b0525df0"}