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Null Coverage Analytics: Equal-Width Histogram + Two-Measure Correlation
x402
Null Coverage Analytics: Equal-Width Histogram + 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 2026-10-14).
Computes an equal-width histogram and a two-measure correlation report 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 — Equal-width histogram + Two-measure correlation: Equal-width histogram + 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) an equal-width histogram partitioning the chosen field (missing_values or total_values) into the specified number of bins with counts per bin, and (2) a two-measure correlation report quantifying the relationship between missing_values and total_values across the supplied rows. Up to 200 rows are supported per call.
Example use cases
Data pipeline quality distribution check
“I have 50 dataset records with missing_values and total_values tracked daily — can you bucket the missing_values into 10 equal-width histogram bins and also tell me how correlated missing_values and total_values are across those records?”
Multi-group null rate correlation audit
“I need to compare null coverage across two dataset groups over the past month. Here are 80 rows with row_id, dataset_group, date, missing_values and total_values — please generate a histogram with 8 bins on missing_values and run the two-measure correlation report.”
Data completeness trend analysis
“Can you analyze these 120 data quality records for me? I want an equal-width histogram of total_values using 6 bins and a correlation between missing_values and total_values so I can see how completeness scales with dataset size.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-171?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a distributional view (histogram) and a linear relationship measure (correlation) for null coverage metrics in a single paid call. It is purpose-built for data quality profiling of missing_values and total_values fields, handling up to 200 rows per call at low cost. Prefer it over general-purpose analytics tools when working specifically with null/missing value tracking datasets and when you want two complementary statistical reports bundled together.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- bins value out of range (must be 1–30) causes rejection
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) causes validation error
- All missing_values or total_values are null — correlation cannot be computed
- Payment not provided or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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