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Compositing Graphs — Category Frequencies + Adjacent Row Changes
x402
Compositing Graphs — Category Frequencies + Adjacent Row Changes 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).
Analyzes compositing graph records (node_count or render_seconds) to produce category frequency distributions and adjacent row change reports in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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 category frequency table showing how often each asset_group value appears in the supplied rows, and (2) an adjacent row change report showing the difference in the selected numeric field (node_count or render_seconds) between consecutive rows — both computed locally on up to 200 supplied records.
Example use cases
Asset group frequency audit
“I have a list of 50 compositing graph records with asset groups and render_seconds values — can you tell me how often each asset group appears and how render_seconds changes from one row to the next?”
Node count change detection
“Here are 120 rows of compositing job data with node counts per date — please run both a category frequency report and an adjacent row change analysis on node_count so I can spot any sudden spikes.”
Render pipeline bottleneck analysis
“I want to understand my compositing render times better — can you take these 80 records and show me the frequency of each asset group alongside how render_seconds shifts between consecutive rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-104?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary views — category frequency distribution and sequential row-to-row change detection — on compositing graph data (node_count or render_seconds) in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where all data is supplied directly rather than fetched live, making it suitable for offline or agent-embedded analytics pipelines in VFX or rendering contexts.
Side effects
- Exceeding 200 rows causes rejection — trim dataset to fit the limit
- Missing required fields (row_id, asset_group, date, node_count, render_seconds) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection
- Field selector must be exactly 'node_count' or 'render_seconds' — other values are rejected
- Empty rows array returns an error — at least 1 row is required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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