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Null Coverage — Grouped Numeric Summary + Category Frequencies
x402
Null Coverage — Grouped Numeric Summary + Category Frequencies 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).
Analyzes null coverage data (missing_values, total_values) by producing grouped numeric summaries and category frequency reports for up to 200 rows across two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Grouped numeric summary + Category frequencies: Grouped numeric summary + Category frequencies 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 grouped numeric summary (e.g. mean, min, max, count, std dev) of the selected numeric field (missing_values or total_values) broken down by dataset_group, and (2) category frequency counts showing how often each dataset_group appears across the supplied rows — all computed locally without external lookups.
Example use cases
Data quality audit by group
“I've got a batch of null coverage records from our ETL pipeline across groups 'prod' and 'staging' with dates and missing/total value counts. Can you give me a grouped numeric summary and category frequency breakdown on the missing_values field so I can see which group has worse data completeness?”
Monthly data completeness reporting
“Here are 150 rows of null coverage data covering October 2026, each tagged with a dataset group and daily missing and total value counts. Run a grouped numeric summary and category frequency analysis on total_values so I can include this in our monthly data quality report.”
Comparing missing data across schema groups
“I have null coverage records for four different schema groups and want to understand how missing values are distributed. Can you compute grouped numeric stats and category frequencies on the missing_values field for all my rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-086?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have null coverage data (missing_values and total_values per row) and need both a grouped numeric summary and category frequency report in a single call for up to 200 rows. It is a cost-effective local-compute option ($0.01 USDC for both reports) when you do not need external lookups, predictions, or real-time data — purely offline statistical summarization of supplied data.
Side effects
- Input array is empty or missing (minItems: 1 not met)
- Row objects missing required fields (row_id, dataset_group, date, missing_values, total_values)
- Date field does not match YYYY-MM-DD pattern
- More than 200 rows submitted (maxItems limit exceeded)
- Invalid field enum value (must be 'missing_values' or 'total_values')
- Numeric values outside allowed range (-1e12 to 1e12)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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