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Join Coverage Analytics: Grouped Numeric Summary + Trailing Mean Series
x402
Join Coverage Analytics: Grouped Numeric Summary + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
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.
Price / call$0.01
Success—
StatusUnknown
How this service works
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.
Output
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.
Example use cases
ETL pipeline join audit
“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?”
Data quality trend monitoring
“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.”
Post-migration join coverage check
“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?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-090?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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