Sampling Observations — Category Frequencies + Explicit Missing-Value Fill 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).
Computes category frequencies and fills missing values (zero, mean, or median) for up to 200 weighted sampling observation records, delivering two analytical reports in one call.
Sampling observations — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill 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 for the submitted data: (1) a category frequency report showing how often each dataset_group appears across the rows, and (2) a missing-value fill report where nulls in the chosen field (sample_value or sample_weight) are replaced using the selected method (zero, mean, or median). All computation is local with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-112?utm_source=zero.xyzChoose this endpoint when you need both category frequency analysis and missing-value imputation on the same weighted sampling dataset in a single low-cost call (0.01 USDC for both reports). It is ideal for statistical preprocessing of small-to-medium datasets (≤200 rows) where no live data lookup, ML prediction, or external enrichment is needed — purely local analytical computation on supplied records.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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