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Material Libraries String Normalisation and Two-Measure Correlation
x402
Material Libraries String Normalisation and Two-Measure Correlation 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).
Performs string normalisation and two-measure correlation analysis on material library records (material_count, texture_mb) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Material libraries — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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
Returns two independent analytical reports: (1) a string normalisation report cleaning asset_group and other string fields, and (2) a two-measure correlation report showing the statistical relationship between material_count and texture_mb across the supplied rows. All computation is local with no external lookups.
Example use cases
Game asset library quality check
“I have a list of 120 game asset records with fields like asset_group, date, material_count, and texture_mb — can you normalise the string fields and tell me how correlated material count is with texture file size?”
3D content pipeline analysis
“For our 3D content pipeline, can you take these 80 rows of material library data and run a correlation analysis between the number of materials and texture megabytes, plus normalise the group name strings?”
Monthly material usage reporting
“Here are 200 rows of material library entries from last month across our asset groups — please normalise the string data and produce two reports showing the correlation between material_count and texture_mb.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-03-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular material library data with string fields and two numeric measures (material_count, texture_mb) and need both string normalisation and correlation analysis in a single low-cost call. Ideal for 3D asset pipelines, game development teams, or content management workflows needing lightweight local analytics on up to 200 rows without external data access or predictions.
Side effects
- Row count exceeds 200 items — request rejected
- Missing required fields (row_id, asset_group, date, material_count, texture_mb) cause validation error
- Invalid date format (must be YYYY-MM-DD) triggers schema validation failure
- Null values in both numeric measures may reduce correlation reliability
- Payment failure or insufficient USDC balance blocks processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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