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UI Screens — String Normalisation + Keyed Dataset Comparison
x402
UI Screens — String Normalisation + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Normalises strings and performs keyed dataset comparison on UI screen records (widget_count, render_ms) across two supplied datasets of up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
UI screens — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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: one covering string normalisation of the supplied UI screen records and one providing a keyed dataset comparison between the two input arrays, covering the widget_count and render_ms fields across up to 200 rows per dataset. No external lookups or predictions are made; all analysis is performed locally on the supplied data.
Example use cases
A/B UI screen performance diff
“I have two batches of UI screen data for our game — each with row_id, game_area, date, widget_count, and render_ms. Normalise the strings and compare them row by row so I can see exactly where widget counts or render times diverged between the two versions.”
QA audit of widget count changes
“Can you take these two lists of UI screen records and run a keyed comparison on the widget_count and render_ms fields? I want to catch any rows where the values changed between our baseline and new build after string normalisation.”
Game area render time regression check
“We recorded UI screen metrics for group-a and group-b before and after a patch — each snapshot has row_id, game_area, date, widget_count, and render_ms. Run string normalisation and a keyed dataset comparison so I can spot any render_ms regressions.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-16-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and keyed row-by-row comparison of two UI screen datasets (widget_count, render_ms) in a single low-cost call. It is ideal for QA workflows, A/B performance audits, or regression checks on game UI metrics where you supply the data locally and do not need live lookups, predictions, or external enrichment.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, game_area, date, widget_count, render_ms) on any row — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Empty rows array (minItems:1 violated) — request rejected
- Payment not provided or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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