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Texture Baking Record Quality Audit + IQR Outlier Flags
x402
Texture Baking Record Quality Audit + 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 2026-10-22).
Runs a data quality audit and IQR-based outlier detection on up to 200 texture baking records (bake_seconds and texture_pixels), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags 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 independent reports per call: (1) a record-level data quality audit identifying missing, null, or malformed values across the supplied rows, and (2) IQR-based outlier flags identifying which rows contain statistically anomalous values in the selected field (bake_seconds or texture_pixels). Results are derived entirely from the supplied data with no external lookups.
Example use cases
QA sweep on baking pipeline logs
“I've got 120 texture baking job records from last month with bake_seconds and texture_pixels columns — can you run a quality audit and flag any IQR outliers in the bake_seconds field so I can spot broken jobs?”
Detect anomalous texture resolutions
“Please check these 80 texture baking records for data quality problems and find any IQR outliers in the texture_pixels field — I want to catch any assets that rendered at the wrong resolution.”
Pre-delivery asset data validation
“Before I hand off this dataset of 200 texture baking records to the client, can you do a quality audit and IQR outlier check on the bake_seconds values to make sure there's nothing weird in there?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-014?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have texture baking pipeline records (bake_seconds, texture_pixels) and need both a data quality audit and IQR outlier detection in a single call at low cost. It is purpose-built for 3D asset production workflows and requires no external data — ideal for validating batches up to 200 rows before downstream processing or client delivery.
Side effects
- More than 200 rows submitted — exceeds per-call row limit
- Missing required fields (row_id, date, bake_seconds, texture_pixels) cause validation errors
- Invalid date format (must be YYYY-MM-DD) triggers schema rejection
- Numeric values outside the allowed range (-1e12 to 1e12) cause rejection
- Empty rows array returns an error
- Payment not fulfilled results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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