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Texture Baking Analytics — Adjacent Row Changes + Two-Measure Correlation
x402
Texture Baking Analytics — Adjacent Row Changes + 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 2026-10-31).
Computes adjacent row change analysis and two-measure correlation for texture baking records (bake_seconds, texture_pixels) using local analytical engines, returning two reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — Adjacent row changes + Two-measure correlation: Adjacent row changes + 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 analytical reports: (1) an adjacent row changes report showing differences between consecutive rows for the selected field (bake_seconds or texture_pixels), and (2) a two-measure correlation report quantifying the statistical relationship between bake_seconds and texture_pixels across the supplied rows. All computation is performed locally with no external lookups. Up to 200 rows supported.
Example use cases
Pipeline efficiency trend audit
“I've got 120 rows of texture baking logs across two asset groups, each with a date, row ID, bake_seconds, and texture_pixels. Can you run adjacent row change analysis and the two-measure correlation on bake_seconds so I can see if there's a trend in our render times?”
Correlation check between bake time and resolution
“I want to know if bake_seconds and texture_pixels are correlated in my texture baking dataset — I have 80 records with dates and asset group labels. Run the adjacent row changes and two-measure correlation reports on texture_pixels for me.”
Quality review of baking records across asset groups
“We have two asset groups' worth of texture baking data — about 40 rows total with bake_seconds and texture_pixels per row. Run the adjacent row change and correlation analysis using bake_seconds as the primary field so we can review baking consistency.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-158?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured texture baking records (up to 200 rows) and need both sequential row-change analysis and a cross-measure correlation between bake_seconds and texture_pixels in a single low-cost call. Prefer it over generic statistics APIs when your data is natively organized by asset_group and date in the texture baking domain, and you need two distinct analytical views bundled together for $0.01 USDC.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, bake_seconds, texture_pixels) cause schema rejection
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure
- Null values in both numeric fields may degrade correlation quality
- Fewer than 2 rows may produce degenerate or empty adjacent-change results
- Invalid field enum value (not bake_seconds or texture_pixels) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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