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Compositing Graphs — Base-100 Series + Date by Category Pivot
x402
Compositing Graphs — Base-100 Series + Date by Category Pivot 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 (Base-100 indexed series and Date-by-category pivot) from user-supplied compositing graph records with node_count and render_seconds metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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 computed locally from the supplied data: (1) a Base-100 indexed time series rebasing the selected metric (node_count or render_seconds) to 100 at the specified base_index row, showing relative change across rows; and (2) a Date-by-category pivot table cross-tabulating the selected metric by date and asset_group. Up to 200 input rows supported.
Example use cases
Benchmark compositing growth by asset group
“Here are my compositing pipeline records for October — 4 rows with asset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, node_counts of 10, 20, 15, 30 and render_seconds of 1, 2, 3, 4. Can you rebase the render_seconds to Base-100 starting at row 0 and also pivot the data by date and asset group?”
Track render time evolution across shot categories
“I've got compositing job data across two shot categories over a month — 8 rows with dates, asset groups, node counts, and render times. Please run both a Base-100 series on render_seconds starting from row 0 and a date-by-category pivot table so I can see how each group's render time evolved relative to its starting point.”
Compare node complexity trends for post-production review
“We're doing a post-production review and I need to index our compositing node_count data to 100 from the first entry and also get a pivot showing node_count by date and asset group. I have 12 rows of compositing records with asset groups 'fx', 'matte', and 'comp' across different dates — can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have compositing pipeline data (node counts and render seconds per asset group over time) and need both a Base-100 rebased trend series and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical reporting on supplied data without requiring external data sources, live lookups, or prediction models. Prefer alternatives if you need real-time rendering metrics, predictive modeling, or reports on non-compositing domains.
Side effects
- Missing required fields (row_id, asset_group, date, node_count, render_seconds) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Fewer than 1 or more than 200 rows causes schema validation failure
- base_index pointing to a row with a null metric value may produce undefined base normalization
- Supplying non-numeric values for node_count or render_seconds causes type errors
- Payment failure (insufficient USDC balance) results in 402 response before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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