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UI Screens — String Normalisation + Explicit Missing-Value Fill
x402
UI Screens — String Normalisation + 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).
Normalises string fields and fills missing numeric values (widget_count or render_ms) in UI screen records using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
UI screens — String normalisation + Explicit missing-value fill: String normalisation + 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 independent analytical reports based on the supplied UI screen records: one covering string normalisation results and one covering explicit missing-value fill for the chosen numeric field (widget_count or render_ms) using the selected method (zero, mean, or median). No external lookups or predictions are performed; all computation uses local analytical engines.
Example use cases
Impute missing widget counts by median
“I've got a batch of UI screen rows where widget_count has some nulls — can you fill those missing values using median imputation and also normalise all the string fields? Here are my rows with row_id, game_area, date, and the numeric fields.”
Zero-fill missing render times for game area
“My game UI dataset has render_ms values missing for several rows in group-a and group-b. Please fill those gaps with zero and normalise the strings, then give me the two analytical reports.”
Mean imputation for widget counts before analysis
“Before I run my analysis, I need to clean my UI screen records — please normalise the string fields and fill in any missing widget_count values using the mean. I have about 150 rows with row_id, game_area, date, widget_count, and render_ms.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-16-037?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local data cleaning on UI screen datasets of up to 200 rows — specifically combining string normalisation with explicit missing-value fill for widget_count or render_ms in a single call. Prefer it over general-purpose ETL tools when you want two ready-made analytical reports at low cost ($0.01 USDC) without sending data to external prediction or ML services.
Side effects
- Rows array empty or exceeds 200 items — validation error returned
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unknown imputation method value outside zero/mean/median enum — rejected
- Numeric field values outside allowed range — validation error
- Missing required fields (row_id, game_area, date) in any row — error response
- Payment of 0.01 USDC not provided or rejected — 402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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