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Scene Geometry Base-100 Series + Secondary-Measure Weighted Mean
x402
Scene Geometry Base-100 Series + 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 2026-10-22).
Computes a base-100 index series and a secondary-measure weighted mean for supplied scene geometry records (object_count, triangle_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Scene geometry — Base-100 series + Secondary-measure weighted mean: Base-100 series + Secondary-measure weighted mean 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
Returns two analytical reports: (1) a base-100 index series for the selected primary field (object_count or triangle_count) anchored at the specified base_index row, and (2) a secondary-measure weighted mean using the other field as weight — both computed locally over up to 200 supplied rows without any external lookups.
Example use cases
Baseline 3D asset complexity over time
“I've got weekly scene geometry snapshots for two asset groups — can you normalize the object_count values to a base-100 series starting from the first row, and also give me the triangle_count weighted mean across all rows?”
Compare asset group geometry trends
“Here are 10 rows of scene geometry records for group-a and group-b across different dates with object_count and triangle_count — please rebase the triangle_count to a base-100 index starting at row 0 and compute the object_count weighted mean so I can compare the groups.”
Track scene complexity growth for a game build
“I'm tracking how complex our game scenes are getting — I have 50 rows of geometry data with object counts and triangle counts by date. Can you give me a base-100 index on object_count from the very first row and the secondary weighted mean for triangle_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-05-166?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected scene geometry tabular data (object_count, triangle_count) and need both a base-100 normalized index series and a secondary weighted mean in a single call. It is fully offline/local — no external data is fetched — making it suitable for deterministic, reproducible analytics on your own dataset. Prefer it over single-report endpoints when you need both reports for the cost of one call ($0.01 USDC covers both).
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — rejected, exceeds maxItems
- base_index points to a row with a null or zero value — division error or degenerate index
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- null values in object_count or triangle_count may affect weighted mean calculation
- field enum value not one of 'object_count' or 'triangle_count' — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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