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Texture Baking Analytics — Category Frequencies + Base-100 Series
x402
Texture Baking Analytics — Category Frequencies + Base-100 Series 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).
Computes category frequency distributions and a base-100 indexed series for supplied texture baking records (bake_seconds or texture_pixels), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — Category frequencies + Base-100 series: Category frequencies + Base-100 series 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 category frequency table showing how often each asset_group appears in the supplied rows, and (2) a base-100 indexed series for the selected numeric field (bake_seconds or texture_pixels), normalized relative to the specified base_index row. Both reports are computed locally from the submitted data with no external lookups.
Example use cases
Texture pipeline performance benchmarking
“I've got 80 texture baking jobs across two asset groups — can you give me a frequency breakdown of how often each group appears and index the bake_seconds values to base-100 starting from the first row?”
Pixel count distribution analysis
“Here are 120 rows of texture baking data. I want to analyze texture_pixels — show me the category frequencies by asset_group and a base-100 series using row 5 as the reference point.”
Render farm audit by asset group
“Can you run category frequency and base-100 series reports on these 200 texture baking records? Use bake_seconds as the field and index everything relative to row 0 so I can see which asset groups dominate and how bake times scale.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-105?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have texture baking production data (bake_seconds, texture_pixels) organized by asset_group and need both a categorical frequency breakdown and a normalized base-100 trend series in a single low-cost call. Ideal for small-to-medium datasets (up to 200 rows) where no external data enrichment or live lookup is needed — purely analytical computation on submitted records.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required row fields (row_id, date, bake_seconds, texture_pixels) causes rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- base_index out of range (>=200 or negative) is rejected
- Null values in the selected field may produce incomplete index series
- Empty rows array is rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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