Promotion Observations — String Normalisation + 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 2026-10-24).
Normalises strings and fills missing values (zero, mean, or median) for promotion observation records containing discount_amount and units_sold, producing 2 analytical reports for up to 200 rows.
Promotion observations — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied promotion observations records (discount_amount, units_sold). 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.
Two analytical reports covering the submitted promotion observation rows: one reflecting string-normalised records and one with explicit missing-value fills applied to the chosen field (discount_amount or units_sold) using the selected method (zero, mean, or median). Covers up to 200 input rows with no external lookups or predictions.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-05-037?utm_source=zero.xyzUse this endpoint when you have promotion observation records (with discount_amount and units_sold) that need string normalisation and missing-value imputation in a single call, and you want two separate analytical reports for up to 200 rows at low cost. Prefer this over general-purpose data cleaning services when your data fits the retail promotion schema (store_group, date, discount_amount, units_sold) and you need both normalisation and fill operations reported together without sending data to external predictive or ML services.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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