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Null Coverage Record Quality Audit and Daily Sum Series
x402
Null Coverage Record Quality Audit and Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Runs two local analytical reports on supplied null-coverage records: a record quality audit and a daily sum series for missing_values or total_values, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Record quality audit + Daily sum series: Record quality audit + Daily sum 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: (1) a record quality audit summarizing issues and statistics across the supplied null-coverage rows, and (2) a daily sum series aggregating the chosen field (missing_values or total_values) by date — all computed locally without any external lookup or live data.
Example use cases
Daily missing value trend audit
“I have a CSV of null coverage records for my data pipeline with columns row_id, dataset_group, date, missing_values, and total_values — can you run a record quality audit and compute the daily sum series on missing_values for all 150 rows?”
Data completeness check by group
“Can you audit the quality of these 80 null coverage records across dataset groups 'group-a' and 'group-b', and also give me a daily sum series on total_values so I can see how completeness trends over time?”
Null coverage report for weekly review
“I need two reports on my null coverage dataset before our weekly data review: a record quality audit and a daily sum of missing_values — here are the 60 rows with dates, row IDs, and group labels.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 null-coverage records with missing_values and total_values fields and need both a record quality audit and a daily sum series in a single call for a flat $0.01 fee. Prefer this over general-purpose analytics tools when you want two bundled local reports with no external data dependencies.
Side effects
- Fewer than 1 row supplied returns validation error
- More than 200 rows supplied exceeds the row limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) causes rejection
- Invalid field enum value (not missing_values or total_values) causes error
- Null or out-of-range numeric values may affect aggregation accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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