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UI screens — Category frequencies + Explicit missing-value fill
x402
UI screens — Category frequencies + Explicit missing-value fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Computes category frequency counts and fills missing numeric values (widget_count or render_ms) using zero, mean, or median imputation for up to 200 UI screen records.
Price / call$0.01
Success—
StatusUnknown
How this service works
UI screens — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill 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 value appears across the submitted rows, and (2) an explicit missing-value fill report for the specified field (widget_count or render_ms) using the chosen method (zero, mean, or median), with imputed values replacing nulls across up to 200 input rows.
Example use cases
Game area frequency audit
“Here are my 80 UI screen records with game_area labels and widget counts — some widget_count values are missing. Give me a frequency breakdown of each game_area category and fill the nulls using mean imputation.”
Render time data cleaning
“I've got 120 rows of UI screen performance data with render_ms measurements, but about 15 rows have null render times. Run the category frequency report and use zero-fill to handle those missing render_ms values so I can proceed with analysis.”
Widget count distribution summary
“Can you analyze these 60 UI screen records across different game areas? I need to know how often each game_area appears and want the missing widget_count values filled in using median — the field to impute is widget_count.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-16-112?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have UI screen tabular data (up to 200 rows) that needs both categorical frequency analysis by game_area and missing-value imputation for numeric fields (widget_count or render_ms) in a single $0.01 call. It is ideal for lightweight, local analytical processing without requiring external lookups, ML predictions, or live data — two reports bundled in one inexpensive operation.
Side effects
- Exceeding 200 rows returns a validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, game_area, date) causes row-level errors
- Invalid enum values for method or field trigger validation failure
- Empty rows array rejected due to minItems:1 constraint
- Numeric values outside the allowed range may be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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