Compositing Graphs — Category Frequencies + 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 2026-10-17).
Analyzes supplied compositing graph records by computing category frequencies across asset groups and the correlation between node_count and render_seconds measures, returning two independent analytical reports.
Compositing graphs — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation for supplied compositing graphs records (node_count, render_seconds). 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.
Returns two independent analytical reports: (1) a category frequency table showing how many records belong to each asset_group value, and (2) a two-measure correlation analysis quantifying the statistical relationship between node_count and render_seconds across the supplied rows. Both reports are computed locally on the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-108?utm_source=zero.xyzChoose this endpoint when you have compositing graph records with asset group labels and two numeric measures (node_count and render_seconds) and need both a categorical frequency breakdown and a pairwise correlation analysis in a single call. It is purpose-built for creative production pipelines (VFX, motion graphics, 3D rendering) where understanding scene complexity vs render cost is important. Prefer it over generic stats services when your data matches the compositing graph schema and you want two bundled reports at minimal cost.
| Field | Type | Description |
|---|---|---|
| rows | array |
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