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Texture Baking Analytics — Category Frequencies + Weighted Mean
x402
Texture Baking Analytics — Category Frequencies + 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 2026-10-22).
Computes category frequencies and secondary-measure weighted mean for texture baking records (bake_seconds, texture_pixels) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — Category frequencies + Secondary-measure weighted mean: Category frequencies + 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 independent analytical reports: (1) category frequency counts for each distinct asset_group found in the submitted rows, and (2) a secondary-measure weighted mean for the selected field (bake_seconds or texture_pixels) aggregated across the dataset — all computed locally from the supplied data with no external lookups.
Example use cases
Asset group bake time breakdown
“I have 50 texture baking jobs across two asset groups — can you calculate how often each group appears and what the weighted average bake_seconds is? Here are the rows with row IDs, dates, asset_group, bake_seconds, and texture_pixels.”
Pixel resolution distribution by category
“Run a frequency count on the asset groups in my texture baking dataset and compute the weighted mean of texture_pixels — I want to see which groups dominate and what the typical pixel count looks like weighted by occurrences.”
Render pipeline QA summary
“For our render pipeline QA, can you take these 120 texture baking records and produce category frequencies for asset_group plus the weighted mean of bake_seconds so we can spot which groups are taking the most time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-109?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have texture baking pipeline data (bake_seconds, texture_pixels) and need both a categorical frequency breakdown by asset group and a weighted mean of a numeric measure in a single call, without needing external predictions or live lookups. Ideal for 3D asset pipeline analysis, render farm audits, or QA summaries where datasets are 200 rows or fewer.
Side effects
- More than 200 rows submitted — request exceeds row limit
- Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema rejection
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array — minimum 1 row required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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