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Texture Baking Analytics — String Normalisation + Secondary-Measure Weighted Mean
x402
Texture Baking Analytics — String Normalisation + Secondary-Measure Weighted Mean 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 string normalisation and secondary-measure weighted mean analytics for texture baking records (bake_seconds, texture_pixels) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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) string normalisation results for the supplied texture baking records, and (2) a secondary-measure weighted mean computed across bake_seconds or texture_pixels values, grouped by asset metadata. Results are derived entirely from the submitted data with no external lookups.
Example use cases
Bake time normalisation across asset groups
“I have a set of texture baking records for two asset groups — can you normalise the bake_seconds strings and give me a weighted mean report? I've got rows dated from 2026-10-01 through 2026-10-04 with bake times ranging from 10 to 30 seconds and I want to focus on the bake_seconds field.”
Texture pixel weighted mean summary
“Run the secondary-measure weighted mean analysis on my texture baking dataset — I have about 50 rows across several asset groups with texture_pixels measurements and I need a summary report using texture_pixels as the target field.”
Multi-group baking quality audit
“I need two analytical reports on my texture baking batch — string normalisation plus weighted mean — for around 100 rows covering multiple asset groups with both bake_seconds and texture_pixels data, using bake_seconds as the primary field to analyze.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have texture baking tabular data (up to 200 rows) and need both string normalisation and a secondary-measure weighted mean in a single low-cost call ($0.01 USDC for two reports). Best suited for offline/batch analytical workflows over submitted data rather than live lookups or predictions.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, bake_seconds, texture_pixels) — row-level validation failure
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Null values in both numeric fields for all rows — weighted mean cannot be computed
- Invalid field enum value (not bake_seconds or texture_pixels) — rejected with enum error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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