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UI Screens — Category Frequencies + Equal-Width Histogram
x402
UI Screens — Category Frequencies + Equal-Width Histogram 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 distribution and an equal-width histogram for widget_count or render_ms fields across up to 200 UI screen records.
Price / call$0.01
Success—
StatusUnknown
How this service works
UI screens — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram 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 across the supplied records, and (2) an equal-width histogram dividing widget_count or render_ms values into the specified number of bins with counts per bin. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Game UI render time distribution
“I have render time measurements for my game's UI screens across two areas — can you generate a histogram with 8 bins on the render_ms field for these 50 records so I can see how render performance is distributed?”
Widget count frequency by game area
“Run a category frequency analysis on my UI screen records — I want to know how many times each game_area shows up, using the widget_count field, across all 150 rows I'm sending you.”
Spotting outliers in screen complexity
“Can you compute both a category frequency table and an equal-width histogram (5 bins) for widget_count on my UI screen dataset so I can spot which screens are unusually complex?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-16-106?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need quick, local statistical analysis (category frequencies + histogram) on a small-to-medium UI screen dataset (up to 200 rows) with no need for external data, live lookups, or predictions. Ideal for game UI performance audits where you want both categorical breakdowns and numeric distribution in a single cheap call.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Missing required row fields (row_id, game_area, date, widget_count, render_ms) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- bins parameter outside 1–30 range — rejected
- field value not one of 'widget_count' or 'render_ms' — enum validation error
- Payment of 0.01 USDC not completed — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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