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UI Screens Analytics — Category Frequencies + Base-100 Series
x402
UI Screens Analytics — Category Frequencies + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Computes category frequency distributions and base-100 indexed series for UI screen records (widget_count, render_ms) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
UI screens — Category frequencies + Base-100 series: Category frequencies + Base-100 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
Returns two analytical reports: (1) a category frequency table showing how often each game_area category appears in the dataset, and (2) a base-100 indexed series for the selected numeric field (widget_count or render_ms), normalized relative to the row at the specified base_index. Both reports are computed locally from the supplied rows with no external lookups.
Example use cases
Game UI render performance comparison
“I have render_ms data for my game's UI screens across two areas — 'lobby' and 'gameplay' — for the past week. Can you compute the category frequencies and a base-100 series (base index 0) for render_ms so I can see which area has more screen records and how performance trended?”
Widget count distribution audit
“Here are 50 rows of UI screen data with widget_count values across four game areas. Give me a category frequency breakdown and a base-100 indexed series for widget_count starting at index 0 so I can see distribution and relative changes.”
Daily UI screen performance indexing
“I want to analyze my UI screen logs from October — I have widget_count and render_ms per screen with game_area labels. Run category frequencies and a base-100 series on render_ms with base index 2 so I can normalize against the third day's value.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-16-105?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a categorical frequency summary AND a base-100 normalized time series for UI screen performance data (widget_count or render_ms) in a single $0.01 call. Ideal for game UI analytics where you want to understand category distribution and relative performance trends together, without needing live lookups or external data enrichment.
Side effects
- Fewer than 1 row supplied — rejected by minItems validation
- More than 200 rows supplied — rejected by maxItems validation
- Invalid date format (not YYYY-MM-DD) — schema pattern validation failure
- base_index exceeds number of supplied rows — out-of-bounds error
- Missing required fields (row_id, game_area, date, widget_count, render_ms) — schema validation error
- Payment not attached or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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