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Null Coverage Analytics: Category Frequencies + Equal-Width Histogram
x402
Null Coverage Analytics: Category Frequencies + Equal-Width Histogram 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 — category frequency counts and an equal-width histogram — for supplied null coverage data (missing_values, total_values) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram 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 computed locally from the supplied rows: (1) a category frequency table showing counts per dataset_group value, and (2) an equal-width histogram over the chosen numeric field (missing_values or total_values) with the specified number of bins (1–30, default 5). No external data is fetched; all computation is performed on the submitted records.
Example use cases
Data quality audit by group
“I have null coverage records for my ETL pipeline across groups like 'raw', 'cleaned', and 'aggregated' — can you give me a category frequency breakdown and a 5-bin histogram of the missing_values field so I can see which groups have the worst data quality?”
Monitoring missing values over time
“Here are 120 rows of daily null coverage snapshots with missing_values and total_values — can you compute a 15-bin equal-width histogram on total_values and show me how often each dataset_group appears in the data?”
Pre-reporting data completeness check
“Before I publish my monthly data completeness report, can you analyze these 80 null coverage records and give me both a category frequency table for dataset groups and an equal-width histogram with 8 bins for missing_values?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-106?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already collected null coverage records and need fast, local statistical summarization — specifically category frequency counts and histogram distributions — without any external lookup or prediction. Ideal for data quality monitoring pipelines, ETL auditing, and pre-reporting data completeness checks where you want two complementary views (categorical + numeric distribution) in a single $0.01 call for up to 200 rows.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) in any row — validation error
- Numeric field values outside allowed range (±1 trillion) — rejected
- Invalid bins value outside 1–30 range — validation error
- Missing required row fields (row_id, dataset_group, date, missing_values, total_values) — schema error
- Field enum value not one of 'missing_values' or 'total_values' — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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