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Null Coverage — Trailing Mean Series + Date by Category Pivot
x402
Null Coverage — Trailing Mean Series + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Computes a trailing moving-average time series and a date-by-category pivot table for null coverage data (missing_values, total_values) supplied by the caller, up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot for supplied null coverage records (missing_values, total_values). 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 analytical reports: (1) a trailing moving-average time series for the selected field (missing_values or total_values) with the specified window size, and (2) a pivot table of values by date and dataset_group category — all computed locally from the supplied rows with no external lookups.
Example use cases
Data pipeline null rate monitoring
“I have daily records for two pipeline groups — 'ingest' and 'transform' — with missing_values and total_values logged per day across 30 days. Can you run a trailing mean series with a window of 7 on missing_values and also give me a date-by-category pivot so I can see which group is drifting?”
Data quality audit for multiple datasets
“I'm auditing data completeness across 5 dataset groups over 3 months — about 90 rows total. Run a rolling mean with window size 5 on total_values and produce a pivot of dates vs categories so I can spot which groups have the worst coverage over time.”
Weekly missing-value trend report
“For my weekly data quality report, take these 52 rows of null coverage records (one per week, two groups) and compute a trailing mean series on missing_values using a window of 4, plus a date-by-category pivot so I can see the breakdown at a glance.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-152?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series AND a date-by-category pivot computed together from user-supplied null coverage records in a single $0.01 call. Ideal for data quality monitoring workflows where you want to track missing value trends over time across multiple dataset groups without any external data lookup or prediction.
Side effects
- Fewer than 1 row or more than 200 rows supplied — request rejected
- Window size smaller than 2 or larger than 200 — validation error
- Missing required fields (row_id, date, dataset_group) on any row — error returned
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Null numeric values for missing_values or total_values may affect mean calculation accuracy
- Payment of 0.01 USDC not completed — endpoint returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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