Question Bank Coverage — String Normalisation + 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 2026-10-23).
Runs string normalisation and trailing mean series analysis on question bank coverage records (item_count, objective_count) for up to 200 rows, returning two analytical reports.
Question bank coverage — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied question bank coverage records (item_count, objective_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.
Returns two analytical reports: (1) a string-normalisation report standardising course_group labels and text fields across submitted rows, and (2) a trailing mean series for the selected numeric field (item_count or objective_count) computed with the specified window size over up to 200 supplied rows. No external data is fetched; all computation is local to the engine.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-18-028?utm_source=zero.xyzChoose this endpoint when you need both string normalisation of categorical labels (course groups) and a trailing mean smoothing series for numeric question bank coverage metrics in a single low-cost call. Ideal for education analytics pipelines processing up to 200 rows of time-series coverage data without requiring live lookups or external data sources. Best when you need two bundled local analytical reports at minimal cost ($0.01 USDC).
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
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