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Texture Baking Analytics — IQR Outlier Flags + Secondary-Measure Weighted Mean
x402
Texture Baking Analytics — IQR Outlier Flags + Secondary-Measure Weighted Mean 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).
Analyzes texture baking records to flag IQR-based outliers and compute a secondary-measure weighted mean, delivering two statistical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied texture baking records (bake_seconds, texture_pixels). 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
Two statistical reports: (1) IQR outlier flags indicating which rows are statistical outliers for the selected primary field, and (2) a secondary-measure weighted mean across the dataset, both computed locally from the supplied texture baking rows without any external data lookups.
Example use cases
QA outlier detection for baking pipeline
“I have 80 texture baking records from our latest game asset batch — can you flag any bake_seconds values that are IQR outliers and also compute the texture_pixels-weighted mean for bake_seconds? The rows have row_id, asset_group, date, bake_seconds, and texture_pixels fields.”
Weighted summary for art team reporting
“Our art team needs a report on this week's texture baking run — please compute the weighted mean of bake_seconds weighted by texture_pixels for about 120 rows, and flag any outliers using the IQR method so we know which assets to investigate.”
Anomaly triage across multiple asset groups
“I've got texture baking data for three different asset groups across 60 rows — can you run IQR outlier flagging on texture_pixels and give me the secondary-measure weighted mean so I can see which groups are behaving abnormally?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need simultaneous IQR-based outlier detection and a secondary-measure weighted mean on texture baking data (bake_seconds, texture_pixels) with up to 200 rows, all in a single low-cost call. It is purpose-built for 3D/game asset pipeline analytics where both anomaly flagging and weighted aggregation are needed together without external lookups or predictions.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, bake_seconds, texture_pixels, date, asset_group) cause validation errors
- Invalid date format (non-YYYY-MM-DD) causes schema rejection
- Null values in the primary field may affect IQR computation or be excluded
- Invalid field enum value (not 'bake_seconds' or 'texture_pixels') causes error
- Payment of 0.01 USDC not fulfilled via x402 protocol — request blocked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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