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Null Coverage Analytics: Category Frequencies + Two-Measure Correlation
x402
Null Coverage Analytics: Category Frequencies + Two-Measure Correlation 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/missing-value coverage records by computing category frequencies across dataset groups and Pearson correlation between missing_values and total_values, returning two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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 category frequency table showing how often each dataset_group value appears across the submitted rows, and (2) a two-measure correlation analysis between the missing_values and total_values numeric fields across all submitted records. Both reports are computed locally from supplied data with no external lookups.
Example use cases
Data pipeline completeness audit
“I have 150 null coverage records from my ETL pipeline across groups like 'transactions', 'user_events', and 'logs' — can you give me the category frequency breakdown by dataset_group and also the correlation between missing_values and total_values so I can see which groups are least complete?”
Monthly data quality report
“Here are my monthly null coverage records for October 2024 with missing_values and total_values per row — run the category frequency and two-measure correlation analysis on all of them so I can include the stats in my data quality report.”
Comparing null rates across two dataset groups
“I've got records from two dataset groups, 'group-a' and 'group-b', each with their missing and total value counts across different dates — can you tell me the frequency each group appears and whether missing_values and total_values are correlated across these records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-108?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular null-coverage or data-completeness records with a categorical grouping column and two numeric measures, and you need both a group frequency summary and a correlation statistic in a single low-cost call. It is ideal for data quality monitoring pipelines that track missing values across named dataset groups over time. Prefer it over generic statistics APIs when your data fits the specific schema (row_id, dataset_group, date, missing_values, total_values) and you want both reports bundled for $0.01.
Side effects
- Fewer than 1 row submitted — fails minItems validation
- More than 200 rows submitted — fails maxItems validation
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) — validation error
- Date not matching YYYY-MM-DD format — pattern validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- All missing_values or total_values are null — correlation computation may be undefined or return NaN
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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