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UI Screens Base-100 Series + Secondary-Measure Weighted Mean
x402
UI Screens Base-100 Series + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Computes a Base-100 indexed time series and a secondary-measure weighted mean for UI screen records containing widget_count and render_ms fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
UI screens — Base-100 series + Secondary-measure weighted mean: Base-100 series + Secondary-measure weighted mean for supplied ui screens records (widget_count, render_ms). 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.
Output
Returns two analytical reports: (1) a Base-100 series showing each row's selected field (widget_count or render_ms) indexed relative to the chosen base row, and (2) a weighted mean of the secondary measure across supplied rows. Covers up to 200 input rows processed via local analytical engines with no external data lookup.
Example use cases
UI render time baseline tracking
“I have daily UI screen data for two game areas with render_ms values and I want to see a base-100 series for render_ms starting from the first row, plus a weighted mean — can you compute both reports for my 50 rows?”
Widget count normalization for game UI
“Take my widget_count data across these game UI screens — about 120 rows grouped by area and date — and generate a base-100 indexed series using row index 0 as the base, along with a secondary weighted mean.”
Performance comparison across game areas
“I want to compare UI screen performance across game areas using a base-100 series on widget_count with base index 5, and also get a weighted mean using render_ms as the secondary measure — here are 30 rows of screen data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-16-166?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular UI screen data (up to 200 rows) and need both a Base-100 normalized time series and a weighted mean in a single call for $0.01 USDC. It is ideal for offline/supplied-data analytics where no live data fetch or prediction is needed, and you want two complementary statistical views (indexing + weighted aggregation) on widget_count and render_ms metrics.
Side effects
- Missing required row fields (row_id, game_area, date, widget_count, render_ms) causes validation error
- Exceeding 200 rows returns an error or truncation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- base_index out of range for provided row count
- Null values in the primary field may affect Base-100 computation
- Payment failure via x402 protocol prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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