Brand Mention Inventories — Date×Category Pivot with 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 2026-10-16).
Pivots brand mention inventory rows by date and company category, then fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.
Brand mention inventories — Date by category pivot + Explicit missing-value fill: Date by category pivot + Explicit missing-value fill for supplied brand mention inventories records (mention_count, source_count). 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 derived from the supplied rows: (1) a date×company_group pivot table for the chosen field (mention_count or source_count), and (2) the same data with missing values explicitly filled using the selected method (zero, mean, or median). Both reports are computed locally from supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-189?utm_source=zero.xyzChoose this endpoint when you have up to 200 brand mention inventory rows and need both a date×category pivot table and explicit missing-value imputation (zero, mean, or median) in a single low-cost call ($0.01 USDC for 2 reports). It is purpose-built for brand mention data (mention_count, source_count) with company_group as the categorical dimension, making it more directly suited than generic pivot tools when your data already matches this schema.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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