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Material Libraries String Normalisation and Secondary-Measure Weighted Mean
x402
Material Libraries String Normalisation and 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 2026-10-17).
Performs string normalisation and secondary-measure weighted mean analysis on material library records (material_count, texture_mb) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Material libraries — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied material libraries records (material_count, texture_mb). 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 per call: (1) normalised string output for the asset_group field across submitted rows, and (2) a secondary-measure weighted mean computed for the selected numeric field (material_count or texture_mb) across up to 200 rows. No external lookups or predictions are made — all computation is performed locally on the supplied data.
Example use cases
3D Game Asset Library Audit
“I have 120 rows of material library data for our game assets — each with a row ID, date, asset group name, material count, and texture size in MB. Can you normalise the asset group strings and compute a weighted mean of material_count for me, and give me both reports?”
Texture Budget Analysis by Group
“We're reviewing texture memory usage across our material libraries. I have about 80 records with asset_group, date, material_count, and texture_mb fields. Please normalise the group name strings and give me the secondary-measure weighted mean for texture_mb.”
Material Count Consistency Check
“Before we ship our asset pack, I need to clean up the asset_group labels and compute a weighted average of material_count across up to 200 material library rows — dates are formatted as YYYY-MM-DD. Run string normalisation and the weighted mean report on this dataset.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-03-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and secondary-measure weighted mean computed together on material library records in a single low-cost call (0.01 USDC for two reports). It is best suited for offline or batch analytical workflows on up to 200 rows of 3D asset or material library data where no live lookup, prediction, or external action is needed.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, asset_group, date, material_count, texture_mb) causes rejection
- Invalid date format (non-YYYY-MM-DD) fails schema validation
- Numeric values outside the allowed range cause schema rejection
- Empty rows array is not accepted (minItems: 1)
- Invalid field enum value (anything other than material_count or texture_mb) is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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