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Null Coverage Record Quality Audit + Trailing Mean Series
x402
Null 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 2026-10-10).
Runs two local analytical reports on null coverage data: a record quality audit and a trailing mean series, for up to 200 rows of missing/total value records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Record quality audit + Trailing mean series: Record quality audit + Trailing mean series 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 independent analytical reports computed locally: (1) a record quality audit summarizing null coverage statistics per row and dataset group, and (2) a trailing mean series showing the rolling average of the selected field (missing_values or total_values) over the specified window size — all derived from the supplied input rows with no external lookups.
Example use cases
Monthly data pipeline quality check
“I have 120 rows of daily null coverage data across three dataset groups for the past quarter. Can you run a record quality audit and compute a trailing mean with a window of 7 on the missing_values field so I can see where data completeness is degrading?”
Dataset completeness trend analysis
“Audit the record quality of my null coverage records and generate a trailing mean series using a window of 10 on total_values — I have 80 rows spanning October through December 2025, grouped by dataset_group.”
Data engineering team QA report
“Run both a record quality audit and a trailing mean series on this batch of 200 null coverage rows, using missing_values as the field and a rolling window of 14, so I can share a completeness report with my data engineering team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-010?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined data quality audit and rolling mean time series on null coverage metrics (missing/total value counts) for a batch of up to 200 rows, without requiring external data lookups or predictions. Ideal for data engineering pipelines, QA workflows, and completeness monitoring where all data is already available locally and you want two complementary statistical reports in a single $0.01 call.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, missing_values, total_values) — validation error
- Window size less than 2 or greater than 200 — parameter error
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- Null or out-of-range numeric values for missing_values or total_values — may produce partial results or errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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