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UV Layouts Numeric Row Ordering and IQR Outlier Flags
x402
UV Layouts Numeric Row Ordering and IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Sorts UV layout records by island_count or occupied_percent and flags statistical outliers using IQR method, returning two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
UV layouts — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags for supplied uv layouts records (island_count, occupied_percent). 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) rows sorted in numeric order by the selected field (island_count or occupied_percent), and (2) each row annotated with IQR-based outlier flags indicating whether values fall below Q1-1.5×IQR or above Q3+1.5×IQR thresholds.
Example use cases
Detecting outlier UV islands in asset batch
“I have 50 UV layout records across several asset groups — can you sort them by island_count and flag any statistically unusual values using IQR so I can identify problem meshes?”
Ranking UV occupancy across texture atlases
“Sort my UV layout data by occupied_percent and flag outliers — I want to see which atlases have abnormally low or high occupancy compared to the rest of the dataset.”
Quality check on exported UV layout report
“Run a numeric sort and IQR outlier check on these UV layout records I exported from our pipeline — use island_count as the analysis field and tell me which rows are flagged as anomalies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-06-119?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have UV layout tabular data and need both a sorted view and statistical outlier detection in a single low-cost call. It is ideal for 3D pipeline QA workflows where identifying abnormal island counts or occupancy percentages is important. Prefer this over generic statistics APIs when your data specifically contains UV layout fields (island_count, occupied_percent) and you want two bundled reports for $0.01.
Side effects
- Empty rows array returns validation error
- More than 200 rows exceeds limit and is rejected
- Invalid field enum value (not island_count or occupied_percent) causes schema error
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- All-null values for the selected numeric field may produce degenerate IQR results
- Missing required row fields (row_id, date) cause row-level validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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