{"uid":"cap_ozPayfewtYBqsa33tLQ_W","slug":"join-coverage-analytics-trailing-mean-series-date-by-category-pivot-8a2f6019","name":"Join Coverage Analytics — Trailing Mean Series + Date-by-Category Pivot","description":"Join coverage — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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-09-152?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_u1T_Lh-4jNzePIuZfNEuo","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 mean time series and a date-by-category pivot table for supplied join coverage metrics (matched_rows, source_rows) across up to 200 rows.","exampleAgentPrompt":"Analyze my join coverage data — here are 4 rows with dates, dataset groups, matched_rows and source_rows — run the trailing mean series with a window of 2 on matched_rows and also give me the date-by-category pivot.","exampleUseCases":[{"title":"ETL pipeline join quality monitoring","prompt":"I have daily join coverage stats for my ETL pipeline across two dataset groups over the past week — can you compute a trailing mean series with window 3 on matched_rows and pivot the results by date and dataset group so I can see where match rates are dropping?"},{"title":"Data ingestion coverage trending","prompt":"Here's my join coverage table with source_rows and matched_rows for groups A and B from October 1–4 — run the trailing mean on source_rows with a window of 2 and give me the date-by-category breakdown as well."},{"title":"Weekly data reconciliation report","prompt":"I need a quick summary of our weekly join coverage metrics — I'll supply 20 rows with date, dataset_group, matched_rows and source_rows. Please compute the trailing mean series (window 4) on matched_rows and pivot by date and category so I can share it with my data team."}],"resultDescription":"Returns two independent analytical reports: (1) a trailing mean time series for the selected metric (matched_rows or source_rows) over the specified rolling window, and (2) a pivot table cross-tabulating values by date and dataset_group category — all computed from the supplied rows without any external lookup.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum","Invalid date format (not YYYY-MM-DD) — validation error","Window size outside 2–200 range — validation error","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — schema error","Non-numeric values in matched_rows or source_rows — type error"],"whenToPreferThis":"Choose this endpoint when you have tabular join coverage data (matched_rows, source_rows) with date and category dimensions and need both a rolling/trailing mean time series and a date-by-category pivot in a single paid call. Ideal for data engineers and analysts monitoring ETL pipeline join rates across multiple dataset groups over time, without needing external data or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T00:56:13.966Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-trailing-mean-series-date-by-category-pivot-8a2f6019"}