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Null Coverage Analytics: Category Frequencies + Numeric Interval Filter
x402
Null Coverage Analytics: Category Frequencies + Numeric Interval Filter 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 records by computing category frequencies for dataset_group and filtering rows by a numeric interval on missing_values or total_values — returning two local analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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 analytical reports: (1) frequency counts of records grouped by dataset_group (category frequencies), and (2) a filtered subset of rows where the chosen numeric field (missing_values or total_values) falls within the specified minimum–maximum interval. Results are computed locally from the supplied rows, with no external lookups.
Example use cases
Data quality audit by dataset group
“I have 80 records from my pipeline audit with row_id, dataset_group, date, missing_values, and total_values — can you break down how many records fall into each dataset group and filter to only the ones where total_values is between 10 and 500?”
Null coverage spike investigation
“Here are 120 rows of null coverage observations across groups A, B, and C — show me the category frequencies by dataset_group and filter for rows where missing_values is between 100 and 1000 so I can identify which groups have serious null spikes.”
Daily missing value range report
“I'm running a daily data health check — I have 200 rows with dataset_group, missing_values, and total_values. Give me frequency counts per group and filter the rows where missing_values falls between 0 and 25 so I can flag low-null datasets.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-101?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 null coverage records and need both a category frequency breakdown by dataset_group and a numeric range filter on missing_values or total_values in a single $0.01 call. Prefer this over general analytics APIs when your data is already structured with the required null-coverage schema (row_id, dataset_group, date, missing_values, total_values) and you want two focused reports without any external data lookup or prediction.
Side effects
- Fewer than 1 row or more than 200 rows submitted returns a validation error
- Rows missing required fields (row_id, dataset_group, date, missing_values, total_values) are rejected
- Date fields not matching YYYY-MM-DD pattern cause schema validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Invalid field enum value (not 'missing_values' or 'total_values') causes an error
- minimum greater than maximum may produce empty interval filter results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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