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Scene Geometry Secondary-Measure Weighted Mean and Keyed Dataset Comparison
x402
Scene Geometry Secondary-Measure Weighted Mean and Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Computes a secondary-measure weighted mean and performs a keyed dataset comparison on up to 200 scene geometry records (object_count, triangle_count) using local analytics — no external lookups or predictions.
Price / call$0.01
Success—
StatusUnknown
How this service works
Scene geometry — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison 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 secondary-measure weighted mean calculation where one geometry metric (object_count or triangle_count) is weighted by the other across the supplied rows, and (2) a keyed dataset comparison that aligns rows from the primary and secondary datasets by row_id to surface differences — all computed locally with no external data sources.
Example use cases
Pre/post optimization geometry audit
“I've got two versions of our scene geometry — before and after polygon reduction — each with about 80 rows tagged by asset_group and date. Can you compute the weighted mean of object_count weighted by triangle_count for both datasets and show me a keyed comparison so I can see where the numbers changed?”
Asset group complexity benchmarking
“We have 120 scene geometry records across groups like 'environment', 'characters', and 'props' dated from last quarter. Can you calculate the triangle_count-weighted mean of object_count and compare this batch against our studio reference dataset to flag any groups that diverge significantly?”
QA diff between two render scene snapshots
“Run a secondary-measure weighted mean and keyed dataset comparison on these two scene snapshots I'm uploading — both have around 60 rows with row_id, asset_group, date, object_count, and triangle_count fields. I want to know if the triangle_count weighted average of object_count shifted between the two versions.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-05-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a weighted-mean statistic and a keyed cross-dataset comparison on scene geometry data (object_count, triangle_count) in a single low-cost call. It is best suited for 3D asset pipeline QA, render scene audits, and geometry optimization validation workflows where you already have the data locally and need fast, deterministic analytics without external API dependencies. Prefer it over general-purpose analytics tools when your data fits the scene geometry schema and you want both reports bundled for $0.01 USDC.
Side effects
- Rows exceed 200-item limit — request rejected
- Missing required fields (row_id, asset_group, date, object_count, triangle_count) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Null values in numeric fields may affect weighted mean calculation
- Mismatched row_ids between primary and comparison datasets reduces comparison coverage
- Payment not processed — x402 payment required before response is returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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