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Texture Baking Analytics — Weighted Mean & Dataset Comparison
x402
Texture Baking Analytics — Weighted Mean & Dataset Comparison 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 a secondary-measure weighted mean and performs keyed dataset comparison for texture baking records (bake_seconds, texture_pixels) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison 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 secondary-measure weighted mean of the selected field (bake_seconds or texture_pixels) using the other measure as weights, and (2) a keyed dataset comparison between the two supplied row sets, highlighting differences by row_id and asset_group. No external data is fetched; all computation uses supplied rows only.
Example use cases
Weighted bake time analysis for render farm
“I've got 150 texture baking records from our render farm across two asset groups — can you calculate the weighted mean of bake_seconds using texture_pixels as the weight, so I know which jobs are genuinely slow relative to their texture complexity?”
Comparing texture baking before and after optimization
“We ran texture baking on the same assets before and after a pipeline optimization. Can you compare the two datasets keyed by row ID and tell me the weighted mean difference in bake_seconds, so I can see if the optimization actually helped?”
Asset group bake performance audit
“I need to audit texture baking performance across our two main asset groups — group-a and group-b — using about 80 rows of baking records. Can you compute a weighted mean for texture_pixels and do a keyed comparison between last month's and this month's bake data?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a weighted mean computation and a keyed dataset comparison for texture baking data in a single call at minimal cost ($0.01 USDC for both reports). Ideal for 3D pipeline teams comparing render job performance across asset groups without needing real-time data, external lookups, or predictive modeling.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Null values in the weight field may affect weighted mean accuracy
- Mismatched row_ids between primary and comparison datasets reduces comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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