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Texture Baking Analytics — IQR Outlier Flags + Two-Measure Correlation
x402
Texture Baking Analytics — IQR Outlier Flags + Two-Measure Correlation 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).
Runs IQR-based outlier detection and Pearson/Spearman correlation analysis on texture baking records (bake_seconds, texture_pixels) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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
Returns two independent analytical reports: (1) IQR outlier flags identifying which rows have bake_seconds or texture_pixels values outside the interquartile range, and (2) a two-measure correlation report quantifying the statistical relationship between bake_seconds and texture_pixels across the supplied dataset.
Example use cases
Outlier detection in rendering pipeline
“I have 150 rows of texture baking logs from our game studio — each row has a bake_seconds value and texture_pixels count. Can you flag which rows have outlier bake times using IQR, and also tell me how correlated bake duration is with texture size?”
Asset group quality audit
“We ran a texture bake across two asset groups, 'props' and 'characters', last week and I want to know if any rows had unusually high or low bake_seconds (IQR outliers), and whether bake_seconds and texture_pixels are statistically correlated — send me both reports.”
Identifying anomalous texture data
“Can you take these 60 texture baking records with their bake_seconds and texture_pixels values and run an IQR outlier check on texture_pixels, plus compute the correlation between the two measures? I want to spot any suspicious data points before we archive the results.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 texture baking records and need both IQR-based outlier detection and two-measure correlation in a single low-cost call ($0.01 USDC). It is ideal for offline/batch statistical QA on 3D rendering pipeline data without requiring any external data sources or live lookups. Prefer alternatives if you need predictions, time-series forecasting, more than two measures, or more than 200 rows.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows submitted — maxItems limit exceeded
- Missing required fields (row_id, bake_seconds, texture_pixels) on any row
- Invalid date format — must match YYYY-MM-DD pattern
- Null values in both numeric measures may degrade correlation reliability
- row_id exceeds 80-character maxLength
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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