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Texture Baking Analytics — Weighted Mean & Date-Category Pivot
x402
Texture Baking Analytics — Weighted Mean & Date-Category Pivot 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).
Computes a secondary-measure weighted mean and a date-by-category pivot table for up to 200 texture baking records (bake_seconds, texture_pixels) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + Date by category pivot 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 analytical reports: (1) a secondary-measure weighted mean (e.g. bake_seconds weighted by texture_pixels, or vice versa) broken down by relevant groupings, and (2) a date-by-category pivot table showing how the chosen measure varies across asset_group categories and dates — all computed locally from the supplied rows without any external lookup.
Example use cases
Bake time weighted average by asset group
“I've got 150 texture baking records with bake_seconds and texture_pixels per asset group and date — can you compute the weighted mean of bake_seconds (weighted by texture_pixels) and also pivot the results by date and category?”
Date-category pivot for rendering pipeline audit
“We need to audit our rendering pipeline: here are 80 texture baking rows across several asset groups and dates. Please generate a date-by-category pivot table and a secondary-measure weighted mean report for bake_seconds.”
Texture pixel weighted analysis for art team
“Our art team captured texture baking data for 200 assets across group-a and group-b over two months. Can you pivot this by date and asset_group and also give us the weighted mean for texture_pixels?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-185?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 texture baking records with bake_seconds and texture_pixels fields and need both a weighted mean summary and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is a purely local computation — no external APIs, no live data lookup — making it fast, deterministic, and suitable for offline or batch analytical workflows in 3D rendering or game asset pipelines.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Null values in both bake_seconds and texture_pixels for a row — weighted mean may be undefined
- Invalid field enum value (must be 'bake_seconds' or 'texture_pixels') — rejected input
- Payment failure via x402 protocol — call not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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