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Compositing Graphs — Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Compositing Graphs — Two-Measure Correlation + 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 two-measure correlation and secondary-measure weighted mean for compositing graph records (node_count, render_seconds) on up to 200 supplied rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean 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.
Output
Two independent analytical reports: (1) a Pearson or equivalent two-measure correlation coefficient between node_count and render_seconds across all supplied rows, and (2) a weighted mean of the selected secondary measure (node_count or render_seconds) computed from the supplied dataset. Both reports are computed locally using shared analytical engines with no external lookups.
Example use cases
Render time vs node count correlation
“I have 50 compositing graph records with node counts and render times across several asset groups — can you compute the correlation between node_count and render_seconds, and also give me the weighted mean of render_seconds using node_count as the weight field?”
Pipeline bottleneck analysis for asset groups
“Analyze my compositing pipeline data: I have 120 rows spanning dates in October 2026 for asset groups 'bg-layer', 'fx-layer', and 'comp-final', each with node_count and render_seconds. Give me the two-measure correlation and secondary weighted mean report using render_seconds as the field.”
Quality check on compositing performance metrics
“Here are 200 compositing graph records from our rendering farm — can you run the two-measure correlation between node_count and render_seconds plus compute the node_count weighted mean? I want to see both analytical reports to spot any anomalies across asset groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have compositing graph records with node_count and render_seconds measurements and need both a two-measure correlation and a secondary-measure weighted mean in a single paid API call. It is purpose-built for creative production pipeline analytics on datasets up to 200 rows, returning two reports for $0.01 USDC. Prefer it over general-purpose statistics tools when you specifically need these two combined analyses on compositing graph data without setting up external compute infrastructure.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected with maxItems violation
- Missing required fields (row_id, date, asset_group, node_count, render_seconds) — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Null values in both numeric columns preventing correlation computation — may return NaN or error
- Invalid enum value for 'field' parameter — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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