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Null Coverage Analytics — Grouped Numeric Summary & Daily Sum Series
x402
Null Coverage Analytics — Grouped Numeric Summary & 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 2026-10-16).
Generates two local analytical reports — a grouped numeric summary and a daily sum series — for null coverage (missing_values, total_values) row data, up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Grouped numeric summary + Daily sum series: Grouped numeric summary + 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
Two independent analytical reports computed locally: (1) a grouped numeric summary that aggregates the selected field (missing_values or total_values) broken down by dataset_group, and (2) a daily sum series that totals the selected field by date. Both reports cover the supplied rows (up to 200).
Example use cases
Data quality audit by group
“I've got a table of null coverage records across three dataset groups — 'sales', 'inventory', and 'returns' — spanning October 2026. Can you give me a grouped numeric summary and daily sum series on the missing_values field so I can see which group has the worst data completeness?”
Daily missing-value trend report
“Here are 150 rows of data quality records with dates, dataset groups, and missing vs total value counts. Run the grouped summary and the daily sum series on total_values so I can spot which days had the highest missing data volume.”
Null coverage check before pipeline run
“Before I kick off my ETL pipeline, I want to check null coverage across my staging tables. I have 80 rows with row_id, dataset_group, date, missing_values, and total_values — can you produce the grouped numeric summary and daily sum series on missing_values for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-089?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of null coverage records and need both a grouped categorical summary and a daily time-series aggregation in a single low-cost call ($0.01 USDC). Ideal for data quality monitoring, ETL pre-checks, and completeness audits where no external lookup or live data is needed — all computation is done locally on your supplied data.
Side effects
- More than 200 rows supplied — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) cause rejection
- Invalid field enum value (not 'missing_values' or 'total_values') causes error
- Empty rows array returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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