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Null Coverage Analytics: Numeric Distribution + Two-Measure Correlation
x402
Null Coverage Analytics: Numeric Distribution + 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).
Computes numeric distribution statistics and two-measure correlation for null coverage records (missing_values, total_values) supplied by the caller — up to 200 rows, two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Numeric distribution + Two-measure correlation: Numeric distribution + 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 numeric distribution summary (e.g. min, max, mean, median, std dev, percentiles) for the selected field (missing_values or total_values) across up to 200 supplied rows, and (2) a two-measure correlation report between missing_values and total_values. No external lookups or predictions are made — all computation is local and deterministic.
Example use cases
Data quality audit across pipeline batches
“I have 50 rows of null coverage data from our ingestion pipeline — each row has a row_id, dataset_group, date, missing_values, and total_values. Can you compute the numeric distribution of missing_values and give me the two-measure correlation between missing_values and total_values?”
Completeness monitoring across dataset groups
“Here are 100 records from our weekly completeness check, grouped into 'finance' and 'ops'. For the field missing_values, give me the distribution stats and the correlation with total_values so I can see if larger datasets tend to have more nulls.”
Pre-model data quality summary
“Before we train, I need to understand our null coverage: I've got 80 rows with missing_values and total_values filled in per date. Run both the numeric distribution report and the two-measure correlation report on these rows using missing_values as the primary field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-081?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have pre-collected null coverage records (missing_values and total_values per row) and need both a numeric distribution and a two-measure correlation analysis in one call without any external data fetching or prediction. Ideal for data quality audits, pipeline monitoring, or pre-modeling completeness checks where you want two reports for up to 200 rows at minimal cost.
Side effects
- Missing required fields (row_id, date, missing_values, total_values) cause validation errors
- More than 200 rows supplied causes rejection or truncation
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null or non-numeric values in missing_values/total_values may affect correlation computation
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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