Research Grant Spending — Category Frequencies + 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 2026-10-23).
Computes category frequency distributions and fills missing values (budget_amount or spend_amount) in research grant spending records using zero, mean, or median imputation.
Research grant spending — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill for supplied research grant spending records (budget_amount, spend_amount). 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 rows: (1) a category frequency table showing how often each course_group value appears across the dataset, and (2) a copy of the rows with missing values in the specified field (budget_amount or spend_amount) explicitly filled using the chosen method (zero, mean, or median).
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-20-112?utm_source=zero.xyzChoose this endpoint when you have up to 200 rows of research grant spending data and need both a category frequency summary AND missing-value imputation in a single low-cost ($0.01 USDC) call. It is ideal for offline data cleaning and reporting on structured grant records without requiring live lookups or external data sources.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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