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Texture Baking Analytics — Base-100 Series + Two-Measure Correlation
x402
Texture Baking Analytics — Base-100 Series + 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 2026-10-22).
Computes a base-100 indexed time series and a two-measure correlation report for supplied texture baking data (bake_seconds and texture_pixels) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — Base-100 series + Two-measure correlation: Base-100 series + 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) a base-100 indexed time series for the chosen field (bake_seconds or texture_pixels) normalized to the specified base row, and (2) a Pearson or equivalent correlation between bake_seconds and texture_pixels across all supplied rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Comparing baking efficiency across asset groups
“I have texture baking logs for two asset groups over the past month — each row has bake_seconds and texture_pixels. Can you index bake_seconds to a base-100 series starting at row 0 and also show me the correlation between bake_seconds and texture_pixels across all the rows?”
Tracking normalized pixel output over time
“I want to see how texture_pixels have changed relative to my first bake session — can you create a base-100 index series using texture_pixels as the field, starting from row index 0, for these 50 baking records?”
Validating bake time vs texture quality relationship
“I've got around 150 texture baking records with bake_seconds and texture_pixels. Can you run both a base-100 normalization (indexed on bake_seconds from row 0) and a correlation report between the two measures so I can see whether longer bakes produce more pixels?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have texture baking pipeline data (bake_seconds and texture_pixels per row) and need both a normalized base-100 time series and a two-measure correlation in a single low-cost call. Ideal for 3D asset pipeline analytics where you want to track baking performance over time relative to a reference point and understand the relationship between baking duration and output texture size, without needing external data sources or predictions.
Side effects
- More than 200 rows supplied — request rejected or truncated
- Missing required fields (row_id, bake_seconds, texture_pixels) — validation error
- base_index out of range for supplied row count — error returned
- Non-numeric values in bake_seconds or texture_pixels — computation failure
- Invalid date format (not YYYY-MM-DD) — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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