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Null Coverage Analytics: Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Null Coverage Analytics: Two-Measure Correlation + Secondary-Measure Weighted Mean 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 Pearson correlation between missing_values and total_values, plus a weighted mean of a selected secondary measure, across up to 200 null-coverage records in a single paid call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean 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) a Pearson or equivalent correlation coefficient quantifying the linear relationship between missing_values and total_values across the submitted rows, and (2) a weighted mean of the user-selected secondary measure (missing_values or total_values). Both reports are computed locally with no external lookups. Results reflect only the supplied data.
Example use cases
Data quality audit across pipeline stages
“I have 6 pipeline stage records with null coverage data — can you correlate missing_values against total_values and give me a weighted mean for missing_values? Rows: stage-1 (2026-11-01, etl, missing=50, total=500), stage-2 (2026-11-02, etl, missing=80, total=600), stage-3 (2026-11-03, load, missing=10, total=300), stage-4 (2026-11-04, load, missing=20, total=400), stage-5 (2026-11-05, validate, missing=5, total=200), stage-6 (2026-11-06, validate, missing=15, total=250).”
Multi-group dataset completeness check
“Can you analyze how missing_values and total_values correlate across these 5 dataset groups, and give me the weighted mean for total_values? Here are my rows: ds-1 (2026-09-01, group-alpha, missing=100, total=1000), ds-2 (2026-09-02, group-beta, missing=200, total=1500), ds-3 (2026-09-03, group-alpha, missing=50, total=800), ds-4 (2026-09-04, group-gamma, missing=300, total=2000), ds-5 (2026-09-05, group-beta, missing=150, total=1200).”
Monthly null rate trend correlation
“I want to see if higher total_values months also have higher missing_values — please run the two-measure correlation and weighted mean on total_values for these monthly records: jan (2026-01-01, monthly, missing=400, total=4000), feb (2026-02-01, monthly, missing=350, total=3800), mar (2026-03-01, monthly, missing=500, total=5000), apr (2026-04-01, monthly, missing=250, total=3200).”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a two-measure correlation and a weighted mean computed together in a single call on null-coverage datasets (missing_values, total_values). It is ideal for lightweight data quality analytics on up to 200 rows without requiring an external analytics platform. It is not suitable for live data lookup, prediction, professional data quality assessment, or datasets larger than 200 rows.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Row missing required fields (row_id, date, missing_values, total_values, dataset_group) — validation error
- Date field not in YYYY-MM-DD format — schema validation failure
- Null or missing numeric values may affect correlation computation or produce NaN results
- Invalid field enum value (not 'missing_values' or 'total_values') — request rejected
- Payment of 0.01 USDC not fulfilled — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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