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Texture Baking Analytics — Grouped Numeric Summary + Secondary-Measure Weighted Mean
x402
Texture Baking Analytics — Grouped Numeric Summary + 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 2026-10-27).
Computes a grouped numeric summary and a secondary-measure weighted mean 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 — Grouped numeric summary + Secondary-measure weighted mean: Grouped numeric summary + 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
Returns two analytical reports: (1) a grouped numeric summary of the selected primary field (bake_seconds or texture_pixels) broken down by asset_group, and (2) a weighted mean of the primary measure using the other measure as the weight — both computed locally without any external lookups or predictions, for up to 200 input rows.
Example use cases
Pipeline performance audit by asset group
“I've got 120 texture baking records across four asset groups, each with bake_seconds and texture_pixels. Can you group them by asset_group and give me a numeric summary of bake_seconds plus a weighted mean using texture_pixels as the weight?”
Comparing bake times across dates for a game project
“Here are my texture baking logs from October — about 80 rows with dates, asset_group, bake_seconds, and texture_pixels. Group them by date and asset_group and compute a summary of texture_pixels with a bake_seconds-weighted mean.”
Optimizing render farm asset throughput
“I want to understand which asset groups are taking the longest to bake textures. I have 200 rows of records with bake_seconds and texture_pixels — can you give me a grouped numeric summary by asset_group and compute the weighted mean of bake_seconds using texture_pixels as the secondary measure?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-096?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular texture baking records (up to 200 rows) and need both a grouped numeric summary and a weighted mean in a single low-cost call ($0.01 USDC). It is ideal for 3D asset pipeline analytics, render farm audits, or game development workflows where bake_seconds and texture_pixels are the key metrics. Prefer this over generic analytics tools when you want a paired two-report output without setting up a data warehouse or calling an external prediction service.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) cause validation errors
- Date values not matching YYYY-MM-DD pattern will fail schema validation
- All-null values for the selected measure field may produce undefined weighted mean
- Malformed JSON body returns 400-level error
- Payment not provided or insufficient USDC balance causes 402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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