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Compositing Graphs — Equal-Width Histogram + Two-Measure Correlation
x402
Compositing Graphs — Equal-Width Histogram + 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).
Runs two local statistical reports on compositing graph data: an equal-width histogram for a chosen measure and a Pearson-style correlation between node_count and render_seconds.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — Equal-width histogram + Two-measure correlation: Equal-width histogram + 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
Returns two independent statistical reports: (1) an equal-width histogram showing frequency counts per bin for the selected measure (node_count or render_seconds), and (2) a two-measure correlation analysis quantifying the relationship between node_count and render_seconds across up to 200 supplied rows.
Example use cases
VFX pipeline render time distribution
“I have 80 compositing job records with node_count and render_seconds. Can you bucket the render_seconds into 8 equal-width bins so I can see how render times are distributed, and also check whether heavier node counts correlate with longer render times?”
Asset group complexity correlation check
“I've got compositing data across two asset groups over the past month — about 120 rows with node counts and render durations. Run a histogram on node_count with 5 bins and tell me the correlation between node_count and render_seconds.”
Identifying render outliers in compositing jobs
“Can you analyze these 30 compositing graph records? I want an equal-width histogram of render_seconds split into 6 bins to spot outliers, plus the correlation between node_count and render_seconds across all the rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-171?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have compositing graph pipeline data (node counts and render durations) and need both a distribution histogram and a bivariate correlation in a single low-cost call. It is ideal for VFX, motion graphics, or rendering teams wanting quick statistical insight on job complexity vs render time without any external data lookup or prediction service.
Side effects
- Missing required fields (row_id, date, node_count, render_seconds) causes validation error
- More than 200 rows submitted — exceeds maximum row limit
- bins value outside 1–30 range causes rejection
- Date strings not matching YYYY-MM-DD pattern are rejected
- All-null values for chosen measure may produce degenerate histogram
- Payment not supplied or insufficient USDC causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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