{"uid":"cap_9HuUlPK_xlsQDRvTUfdIa","slug":"join-coverage-analytics-grouped-numeric-summary-trailing-mean-series-527f7e67","name":"Join Coverage Analytics: Grouped Numeric Summary + Trailing Mean Series","description":"Join coverage — Grouped numeric summary + Trailing mean series: Grouped numeric summary + 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-09-090?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_q2T6Vwns0sLyIQtEVNckk","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 grouped numeric summary and a trailing mean series for join coverage records (matched_rows, source_rows) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you run a grouped numeric summary and trailing mean series on my join coverage data? I have 4 rows with dataset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, matched_rows values of 10, 20, 15, and 30, source_rows of 1, 2, 3, and 4 — analyze the matched_rows field with a window of 3.","exampleUseCases":[{"title":"ETL pipeline join audit","prompt":"I have daily join coverage records for two dataset groups over the past month — can you give me a grouped numeric summary and a trailing mean series with window 7 on the matched_rows field so I can spot which groups have degrading join rates?"},{"title":"Data quality trend monitoring","prompt":"Run a grouped numeric summary and rolling mean analysis on my source_rows data across three dataset groups using a window of 5 — here are 50 rows with dates, row IDs, matched_rows, and source_rows."},{"title":"Post-migration join coverage check","prompt":"After our database migration, I want to compare join coverage across groups: can you summarize matched_rows by dataset_group and show me the trailing mean with a window of 2 for these 20 rows so I can see if any group dropped significantly?"}],"resultDescription":"Returns two reports: (1) a grouped numeric summary breaking down matched_rows or source_rows statistics (e.g. count, mean, min, max) by dataset_group, and (2) a trailing mean series showing the rolling average of the selected field over the specified window size, across up to 200 input rows.","failureModes":["Input rows array is empty or missing — validation error returned","More than 200 rows submitted — request rejected with max items error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Window value outside range 2–200 — rejected with bounds error","Field value not in enum ['matched_rows','source_rows'] — schema rejection","Null numeric values in matched_rows or source_rows may affect trailing mean calculation"],"whenToPreferThis":"Choose this endpoint when you have join coverage records with matched_rows and source_rows fields and need both a grouped aggregate summary by dataset_group AND a smoothed rolling mean trend for one numeric field in a single low-cost call. Prefer it over general statistics tools when your data is already structured in the expected schema and you want two complementary views (cross-sectional grouping + time-series smoothing) without external API dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:36.932Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-grouped-numeric-summary-trailing-mean-series-527f7e67"}