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UI Screens — Category Frequencies + Trailing Mean Series
x402
UI Screens — 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 2026-11-02).
Computes category frequency distributions and trailing mean time series for UI screen metrics (widget_count, render_ms) on up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
UI screens — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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
Two analytical reports: (1) a category frequency table showing how often each game_area value appears in the supplied records, and (2) a trailing mean series for the chosen metric (widget_count or render_ms) computed with the specified window size across the date-ordered rows. Results are derived purely from the supplied data with no external lookups.
Example use cases
Screen render performance trend analysis
“I have 150 UI screen records with dates, game areas, and render_ms values — can you compute the category frequency breakdown by game_area and a trailing mean series for render_ms using a window of 5, so I can see which areas render slowest over time?”
Widget count distribution by game area
“Take these 80 UI screen data rows and give me two reports: how often each game_area category appears, and the rolling mean of widget_count with a window of 4 across the date sequence.”
Game UI screen metric audit
“I'm auditing our game UI screens and need category frequencies plus a trailing mean for widget_count with a window size of 2 — here are 40 rows with row_id, date, game_area, widget_count, and render_ms fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-16-103?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected UI screen records (up to 200 rows) and need both a categorical frequency breakdown and a rolling mean time series computed locally from your data in a single $0.01 call — ideal for lightweight, offline-style analytics on game UI metrics without needing a full analytics platform or live data connection.
Side effects
- Fewer than 1 row supplied — minItems constraint violated
- More than 200 rows supplied — maxItems constraint exceeded
- Missing required fields (row_id, game_area, date, widget_count, render_ms) on any row
- Date field not matching YYYY-MM-DD pattern
- Window size outside 2–200 range
- Invalid field enum value (must be widget_count or render_ms)
- Payment not included or insufficient (requires 0.01 USDC via x402)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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