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UI Screens Record Quality Audit + Keyed Dataset Comparison
x402
UI Screens Record Quality Audit + 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 2026-10-26).
Runs two analytical reports on UI screen performance data: a record quality audit and a keyed dataset comparison between two supplied datasets (up to 200 rows each).
Price / call$0.01
Success—
StatusUnknown
How this service works
UI screens — Record quality audit + Keyed dataset comparison: Record quality audit + 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: (1) a record quality audit identifying issues such as nulls, out-of-range values, and format violations in the supplied rows; and (2) a keyed dataset comparison report showing row-level differences between the primary and secondary datasets based on shared row_id keys, including changes in widget_count and render_ms values. Both reports are generated locally from the supplied data with no external lookups.
Example use cases
Pre-release UI data validation
“Before we ship, can you audit the quality of our UI screen performance records and flag any missing or invalid widget_count or render_ms values? Here are our 50 rows of screen data across group-a and group-b game areas from October 2026.”
A/B test screen metric comparison
“I have two versions of our UI screen metrics from our A/B test — the control group and the variant group, each with about 80 rows keyed by row_id. Can you compare them and tell me where the widget counts and render times differ between the two datasets?”
Data pipeline drift detection
“We exported our UI screen stats from two different pipeline runs last week and want to know if any records changed. Can you run a keyed comparison on these two exports of render_ms and widget_count data, plus a quality audit on the primary dataset, to catch any drift or data issues?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-16-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a keyed row-level comparison on UI screen performance data (widget_count, render_ms) in a single low-cost call. It is ideal for validating datasets before ingestion, detecting drift between pipeline runs, or comparing A/B test outputs — all without requiring an external data connection. Best suited for datasets up to 200 rows where offline local analysis is sufficient.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, game_area, date, widget_count, render_ms) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Empty primary rows array (minItems: 1) causes failure
- Malformed numeric values outside allowed range trigger schema errors
- Network or payment processing failure returns no report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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