Research Task Completion — Numeric Interval Filter + 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 2026-10-22).
Filters research task completion records to a numeric interval and fills missing values using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.
Research task completion — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill for supplied research task completion records (completed_tasks, assigned_tasks). 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 independent analytical reports derived from the supplied rows after applying the specified numeric interval filter (removing records outside [minimum, maximum]) and filling null values in the chosen field (completed_tasks or assigned_tasks) using the selected method (zero, mean, or median). Reports summarize the cleaned dataset across company groups and dates.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-135?utm_source=zero.xyzChoose this endpoint when you have up to 200 rows of research task completion records (completed_tasks, assigned_tasks) that need both numeric range filtering and null imputation in a single call, and you want two analytical reports back without any live data lookup, ML prediction, or external side effects. It is ideal for lightweight, repeatable data-cleaning and reporting pipelines on task tracking datasets at very low cost ($0.01 per call covering 2 reports).
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| maximum | number | |
| minimum | number |
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