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Texture Baking Analytics — Category Frequencies & Trailing Mean Series
x402
Texture Baking Analytics — Category Frequencies & Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Computes category frequency distribution and trailing mean time series for texture baking records (bake_seconds, texture_pixels) from up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — Category frequencies + Trailing mean series: Category frequencies + Trailing mean 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
Two analytical reports: (1) a category frequency table showing how often each asset_group value appears in the dataset, and (2) a trailing mean time series for the selected field (bake_seconds or texture_pixels) computed over the specified rolling window across the supplied rows.
Example use cases
Asset group frequency audit
“I have 120 texture baking log entries with bake_seconds and texture_pixels, split across groups like 'characters', 'environments', and 'props' — can you give me a frequency breakdown showing how often each asset_group appears and a rolling mean of bake_seconds with a window of 10?”
Bake time performance trend
“Here are 80 rows of daily texture baking records. I want to see how texture_pixels values trend over time using a trailing mean with a window of 7, plus how the category frequencies break down across asset groups.”
Pipeline QA statistical report
“Run a statistical analysis on these 200 texture baking records — I need category frequencies for asset_group and a trailing mean series for bake_seconds with window size 4, so I can identify which groups are dominating the pipeline and where bake times are spiking.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-103?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have texture baking pipeline records and need both a categorical frequency distribution and a rolling mean time series in a single low-cost call. It is best suited for offline/batch analysis of up to 200 rows of bake_seconds and texture_pixels data where no live lookup or external prediction is needed.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format (must match YYYY-MM-DD pattern)
- Missing required fields row_id, asset_group, date, bake_seconds, or texture_pixels in any row
- Window size outside allowed range of 2–200
- Field value not one of the allowed enum values: bake_seconds or texture_pixels
- Payment not provided or insufficient USDC — x402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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