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Compositing Graphs String Normalisation and Two-Measure Correlation
x402
Compositing Graphs String Normalisation and 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 2026-10-22).
Performs string normalisation and two-measure correlation analysis on compositing graph records (node_count, render_seconds) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — String normalisation + Two-measure correlation: String normalisation + 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.
Output
Two independent analytical reports: (1) a string normalisation report processing the asset_group and other string fields in the supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between node_count and render_seconds across up to 200 supplied compositing graph records. All analysis is performed locally using shared analytical engines with no external lookups.
Example use cases
Render time vs node count correlation
“I have compositing graph data from our VFX pipeline — can you check whether node_count correlates with render_seconds across these 50 shots from group-a and group-b between 2026-09-01 and 2026-09-30? I also need the string normalisation report for the asset group labels.”
Asset group rendering performance audit
“We have 150 compositing graph records across multiple asset groups from October 2026. Run string normalisation on the asset group names and tell me if there's a meaningful correlation between how many nodes each graph has and how long it takes to render.”
Pipeline efficiency statistical review
“Can you analyse these 80 compositing graph rows — each has a row_id, asset_group, date, node_count, and render_seconds — and give me both a normalised string report and a two-measure correlation between node_count and render_seconds so I can identify inefficient pipeline stages?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-033?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 string normalisation and correlation analysis in a single call. It is ideal for VFX/rendering pipeline analysis where you want to understand the relationship between graph complexity and render time without setting up a local statistics environment. Prefer this over general-purpose analytics tools when working with compositing-specific data structures (asset_group, node_count, render_seconds) and need two bundled reports at low cost.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, asset_group, date, node_count, render_seconds) in any row — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — rejected
- Empty rows array — minimum 1 item required
- Insufficient data variance for meaningful correlation — degenerate result returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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