{"uid":"cap_P6UzKvpo-v9c193MyqSlT","slug":"join-coverage-trailing-mean-series-two-measure-correlation-84b9ab66","name":"Join Coverage — Trailing Mean Series + Two-Measure Correlation","description":"Join coverage — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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-09-150?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_dlcwspu2zHObzGtD44rE6","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":"Computes a trailing moving average series and a two-measure (matched_rows vs source_rows) Pearson correlation for supplied join coverage row data.","exampleAgentPrompt":"Run a trailing mean series with a window of 3 and a two-measure correlation on my join coverage data — the field is matched_rows — here are my rows: row-1 on 2024-01-01, group-a, source_rows=100, matched_rows=85; row-2 on 2024-01-02, group-a, source_rows=110, matched_rows=90; row-3 on 2024-01-03, group-a, source_rows=95, matched_rows=80.","exampleUseCases":[{"title":"ETL pipeline join quality trend","prompt":"I have daily join coverage records for two dataset groups over the past month — can you compute a trailing mean series with window 7 on matched_rows and also give me the correlation between matched_rows and source_rows across all those rows?"},{"title":"Data audit: match rate smoothing","prompt":"I'm auditing our data ingestion joins. Here are 50 rows with date, dataset_group, matched_rows, and source_rows. Please calculate a rolling mean over a window of 5 for the source_rows field and show me how matched_rows and source_rows correlate."},{"title":"Detecting join degradation over time","prompt":"Can you run a trailing mean with window 4 on matched_rows for these join coverage records and also compute the two-measure correlation so I can see if matched and source row counts are drifting apart? I have about 30 rows across two groups."}],"resultDescription":"Returns two independent analytical reports: (1) a trailing mean series showing the rolling average of the selected field (matched_rows or source_rows) over the specified window, computed across the supplied time-ordered rows; and (2) a two-measure correlation report quantifying the statistical relationship between matched_rows and source_rows across the supplied dataset. Both reports are computed locally with no external lookups.","failureModes":["Fewer than minimum required rows (minItems: 1) returns a validation error","Window size larger than number of supplied rows may produce incomplete or null trailing values","Invalid date format (not YYYY-MM-DD) causes schema rejection","Row count exceeding 200 items is rejected by the schema","Null values in matched_rows or source_rows may reduce effective sample size for correlation","Missing required fields (row_id, dataset_group, date) cause input validation failure"],"whenToPreferThis":"Choose this endpoint when you need both a rolling/trailing mean time series and a correlation between matched_rows and source_rows for join coverage data in a single paid call. It is ideal for data engineers auditing ETL join quality, teams monitoring dataset match rates over time, or analysts who want smoothed trend lines alongside a correlation metric without writing custom statistical code. Prefer it over general-purpose analytics tools when working specifically with join coverage records (matched_rows, source_rows) and needing both reports in one low-cost micro-payment call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:36.392Z","isFirstParty":false,"canonicalSlug":"join-coverage-trailing-mean-series-two-measure-correlation-84b9ab66"}