Replenishment Timing — Numeric Row Ordering + 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 2026-10-31).
Sorts replenishment timing records (lead_days, received_units) by row number and fills missing values using zero, mean, or median imputation — up to 200 rows, 2 reports per call.
Replenishment timing — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied replenishment timing records (lead_days, received_units). 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 up to 2 analytical reports covering the submitted replenishment rows: one with numeric row ordering applied, and one with missing values in the specified field (lead_days or received_units) filled using the chosen method (zero, mean, or median). No external lookups or predictions are performed — all computation is local to the supplied data.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-12-124?utm_source=zero.xyzChoose this endpoint when you need to clean and order replenishment timing datasets offline — specifically when you need numeric row sorting combined with missing-value imputation (zero, mean, or median) on lead_days or received_units fields. Ideal for small-to-medium retail datasets (up to 200 rows) where you want two analytical passes in a single low-cost call without requiring external data access or forecasting.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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