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Scene Geometry — String Normalisation + Grouped Numeric Summary
x402
Scene Geometry — String Normalisation + Grouped Numeric Summary 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).
Normalises string fields and produces grouped numeric summary statistics (count, min, max, mean, etc.) for scene geometry records containing object_count and triangle_count fields, delivering two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Scene geometry — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary for supplied scene geometry records (object_count, triangle_count). 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) normalised string values for the asset_group and related text fields, and (2) grouped numeric summary statistics (e.g. count, min, max, mean, sum) for the selected numeric field (object_count or triangle_count), grouped by asset_group — all computed locally with no external lookups.
Example use cases
Game asset pipeline geometry audit
“I've got 120 rows of scene geometry data from our game engine export, with asset groups like 'characters', 'terrain', and 'props' — can you normalise those group name strings and give me a grouped numeric summary of object_count so I can see the stats per category?”
3D scene triangle budget analysis
“Here are 80 scene records from our animation project, each tagged with an asset_group and a triangle_count. Can you run string normalisation on the labels and produce a grouped summary for triangle_count so I know which groups are heaviest?”
Multi-date scene geometry comparison
“I have scene geometry records spanning dates from 2026-10-01 to 2026-10-10 across two asset groups. Please normalise the string fields and give me grouped numeric stats on object_count so I can see how counts compare across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-05-023?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have scene geometry tabular data (up to 200 rows) with object_count and/or triangle_count fields and need both string normalisation of categorical labels and grouped descriptive statistics in a single cheap call ($0.01 USDC for two reports). Ideal for 3D asset pipelines, game development workflows, or animation studios that need lightweight local analytics without any external data fetch or prediction.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, asset_group, date, object_count, triangle_count) causes a schema rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Null values in numeric fields may affect summary statistics output
- Selecting an invalid field enum value returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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