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Compositing Graphs — Equal-Width Histogram + Secondary-Measure Weighted Mean
x402
Compositing Graphs — Equal-Width Histogram + 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 2026-10-17).
Generates two analytical reports for compositing graph records: an equal-width histogram over a chosen field and a secondary-measure weighted mean, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + 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
Returns two analytical reports: (1) an equal-width histogram over the specified field (node_count or render_seconds) divided into the requested number of bins, showing frequency/count per bin; (2) a secondary-measure weighted mean computed from the supplied compositing graph records. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Render time distribution in compositing pipeline
“I have 50 compositing job records with node counts and render seconds — can you build an equal-width histogram of render_seconds using 10 bins and also compute the weighted mean across those records?”
Node count frequency analysis by asset group
“Here are 120 compositing graph records across several asset groups with their node counts and render times. Produce a 5-bin histogram of node_count and the secondary-measure weighted mean so I can see how node complexity is distributed.”
Compositing performance audit for weekly batch
“I've collected 200 rows of weekly compositing job data with render_seconds and node_count fields. Run the equal-width histogram on render_seconds with 8 bins and compute the weighted mean — I need both reports in one call.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-172?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need simultaneous histogram distribution analysis and weighted mean computation on compositing graph data (node_count and render_seconds) in a single low-cost call. Ideal for media/VFX pipelines auditing render performance across asset groups. Prefer this over generic statistics APIs when your data maps directly to the compositing graph schema (row_id, asset_group, date, node_count, render_seconds).
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- Missing required fields (row_id, asset_group, date, node_count, render_seconds) causes schema error
- bins value outside 1–30 range is rejected
- Null values in numeric fields may affect histogram bin calculation
- field enum value not matching 'node_count' or 'render_seconds' causes error
- Insufficient USDC balance for x402 payment fails the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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