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Join Coverage Record Quality Audit + Trailing Mean Series
x402
Join Coverage Record Quality Audit + 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).
Runs two local analytical reports on join coverage data: a record quality audit and a trailing mean series for matched_rows or source_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Record quality audit + Trailing mean series: Record quality audit + 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 independent analytical reports: (1) a record quality audit flagging data issues in the supplied join coverage rows, and (2) a trailing mean series computed over the specified field (matched_rows or source_rows) using the given rolling window size — all computed locally without external lookups.
Example use cases
ETL pipeline join coverage audit
“I have 50 rows of join coverage results from our nightly ETL — each row has a date, dataset_group, matched_rows, and source_rows. Can you run the record quality audit and trailing mean series on matched_rows with a window of 7 so I can spot any data quality issues?”
Dataset group trailing mean trend analysis
“Can you analyze my join coverage data across two dataset groups over the past 30 days? I want both the quality audit and a rolling mean on source_rows with a window of 5 to see how coverage is trending.”
Pre-report join coverage validation
“Before I publish our weekly data report, run a quality audit and trailing mean check on these 100 join coverage rows — use matched_rows as the target field and a window of 4 — so I can confirm the data looks clean.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-010?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a rolling mean series on join coverage metrics (matched_rows, source_rows) in a single low-cost call. It is ideal for ETL validation workflows, pre-reporting data checks, and trend analysis on join coverage data without requiring any external data sources or live lookups. Best suited for batches of up to 200 rows at $0.01 per call.
Side effects
- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the limit
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Window value outside the range 2–200 is rejected
- Field value other than 'matched_rows' or 'source_rows' is rejected
- Null values in matched_rows or source_rows may affect trailing mean computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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