Research Task Completion — Category Frequencies + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Analyzes research task completion data by computing category frequencies and a trailing moving-average series for completed_tasks or assigned_tasks across up to 200 rows.
Research task completion — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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: (1) a category frequency table showing how often each company_group appears in the dataset, and (2) a trailing moving-average series for the selected metric (completed_tasks or assigned_tasks) computed with the specified window size across the submitted rows.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-103?utm_source=zero.xyzChoose this endpoint when you need two lightweight, offline statistical reports — category frequency distribution and a trailing moving average — computed simultaneously on a small-to-medium research task dataset (up to 200 rows) without any external data lookup, prediction, or live API calls. It is cost-effective at $0.01 for both reports in a single call. Prefer alternatives if you need more than 200 rows, real-time data ingestion, or statistical operations beyond frequency counts and rolling means.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
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