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Texture Baking Analytics — String Normalisation + Category Frequencies
x402
Texture Baking Analytics — String Normalisation + Category Frequencies 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).
Runs two local analytical reports on texture baking records: string normalisation of text fields and category frequency counts for asset groups, using up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — String normalisation + Category frequencies: String normalisation + Category frequencies 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-normalised versions of text fields (row_id, asset_group, date) in the supplied rows, and (2) category frequency counts showing how many records belong to each asset_group value — all computed locally from the supplied data with no external lookups.
Example use cases
Asset group distribution audit
“I have 80 texture baking records across different asset groups with bake_seconds and texture_pixels values — can you tell me how the records are distributed across each asset group and normalise the asset group name strings?”
Pipeline data quality check
“Before I hand off my texture baking dataset to the rendering team, can you normalise all the string fields and give me a frequency count of each category so I can spot any inconsistencies? I have about 120 rows with row_id, asset_group, date, bake_seconds, and texture_pixels.”
Bake job summary for studio report
“I need a quick summary of our texture baking jobs this quarter — can you normalise the asset group labels and count how many jobs fell into each category? I'll send you the records with bake_seconds and texture_pixels included.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-024?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 texture baking records and need both string normalisation of categorical fields and a frequency breakdown of asset groups in a single low-cost call ($0.01 USDC). It is best for offline/batch analytical use where no live lookup, prediction, or external data enrichment is needed — purely local computation on supplied data.
Side effects
- More than 200 rows supplied — request will be rejected or truncated
- Missing required fields (row_id, bake_seconds, texture_pixels) cause row-level errors
- Invalid date format (not YYYY-MM-DD) may cause parsing issues
- Null numeric values for bake_seconds or texture_pixels may be excluded from numeric summaries
- Empty or whitespace-only asset_group values may produce ambiguous category buckets
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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