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Null Coverage Analytics: Equal-Width Histogram + Date by Category Pivot
x402
Null Coverage Analytics: Equal-Width Histogram + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Generates two analytical reports — an equal-width histogram and a date-by-category pivot — for null coverage data (missing_values, total_values) supplied by the caller, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot 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 analytical reports: (1) an equal-width histogram showing the frequency distribution of the selected field (missing_values or total_values) across up to 30 configurable bins, and (2) a date-by-category pivot table aggregating the selected field across dataset_group and date dimensions. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Data quality audit across pipeline stages
“I have 150 rows of null coverage data from our ETL pipeline, each tagged with a dataset_group and date, with missing_values and total_values filled in — please generate a 10-bin equal-width histogram and a date-by-category pivot on missing_values so I can see where nulls cluster.”
Monthly missing data trend by team
“Here are 80 records of null coverage logs across 5 team groups, dated daily through last month — run an equal-width histogram with 7 bins and a date-by-category pivot on total_values to show how each team's data completeness changed over time.”
Comparing null rates across schema versions
“I've got 60 rows of null coverage records split between two dataset groups representing schema v1 and v2, with dates and missing_values per row — can you give me a 5-bin histogram and a pivot table by date and category on the missing_values field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-173?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected null coverage records (with missing_values and total_values per row, grouped by dataset_group and date) and need two complementary views — a histogram of distribution shape and a date-by-category pivot — in a single low-cost call. Ideal for data quality monitoring workflows, ETL audits, or schema profiling tasks where the data is already on hand and no external data retrieval or prediction is needed.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) on any row — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- bins value outside 1–30 range — validation error
- field value not one of 'missing_values' or 'total_values' — enum validation failure
- Null or non-numeric values in numeric fields may affect histogram computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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