Sampling Observations Analytics: Two-Measure Correlation + Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs two local analytical reports on supplied sampling observation rows: a correlation between sample_value and sample_weight, and a date-by-category pivot table, for up to 200 rows.
Sampling observations — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot for supplied sampling observations records (sample_value, sample_weight). 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.
Returns two analytical reports: (1) a two-measure correlation result quantifying the statistical relationship between sample_value and sample_weight across the supplied rows, and (2) a date-by-category pivot table summarizing the selected field (sample_value or sample_weight) broken down by date and dataset_group. All computation is performed locally on the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-182?utm_source=zero.xyzChoose this endpoint when you have tabular sampling data with two numeric measures (sample_value and sample_weight) and want both a correlation analysis and a date-by-category pivot in a single low-cost call (0.01 USDC). It is ideal for datasets up to 200 rows where no external lookup, prediction, or live data is needed — pure local computation on supplied records.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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