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Compositing Graphs Analytics — Daily Sum Series & Two-Measure Correlation
x402
Compositing Graphs Analytics — Daily Sum Series & 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 analytical reports on compositing graph data: a daily sum time series and a Pearson correlation between node_count and render_seconds, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — Daily sum series + Two-measure correlation: Daily sum series + 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 analytical reports: (1) a daily sum time series aggregating the chosen field (node_count or render_seconds) by date, and (2) a statistical correlation between node_count and render_seconds across all supplied rows. Both reports are computed locally without any external lookup or prediction.
Example use cases
Render pipeline performance analysis
“I have daily compositing job logs with node_count and render_seconds for two asset groups over October — can you sum up node_count by day and tell me how strongly node_count and render_seconds are correlated across the whole dataset?”
Identifying bottlenecks in scene complexity
“We track scene node counts and render durations for our VFX pipeline. Can you compute the daily total of render_seconds and run a correlation between node_count and render_seconds so I can see if more complex scenes are consistently taking longer?”
Monthly compositing throughput review
“Here's a CSV-equivalent of 150 compositing graph rows from last month, each with a date, asset group, node count, and render seconds. Please give me the daily sum series for node_count and the two-measure correlation between node_count and render_seconds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-141?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have compositing or rendering pipeline data (node counts and render durations per date and asset group) and need both a daily aggregation time series AND a two-measure statistical correlation in a single low-cost call. It is purpose-built for creative production analytics with up to 200 rows and does not require any external data sources or live predictions.
Side effects
- Missing required fields (row_id, date, asset_group, node_count, render_seconds) cause validation errors
- Dates not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows returns an error or truncated result
- Null values in node_count or render_seconds may reduce correlation accuracy
- Invalid field enum value (not node_count or render_seconds) causes a parameter error
- Payment of 0.01 USDC must be included or the request is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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