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Compositing Graphs — Date by Category Pivot + Keyed Dataset Comparison
x402
Compositing Graphs — Date by Category Pivot + Keyed Dataset Comparison 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 by pivoting node_count or render_seconds by date and category, and compares two supplied datasets by key — returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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 date-by-category pivot table showing node_count or render_seconds aggregated across dates and asset_groups, and (2) a keyed dataset comparison report highlighting differences between the two supplied compositing record datasets — both computed locally from supplied data, up to 200 rows each.
Example use cases
Render time drift across production groups
“I've got two weeks of compositing job logs split by asset group — can you pivot render_seconds by date and asset_group, and then compare this week's rows against last week's using the row IDs as keys, so I can see where render time is drifting?”
Node count benchmarking between pipeline versions
“We ran the same compositing jobs through two different pipeline versions — can you pivot node_count by date and asset_group for both, and do a keyed comparison so we can see exactly which rows changed between version A and version B?”
Daily compositing performance summary by team
“Here are two exports of daily compositing stats by team group — can you pivot node_count by date and asset_group on the primary dataset, and compare it against the secondary dataset by row_id to flag any mismatches in node counts or render times?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-188?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have compositing graph data (node_count, render_seconds) organized by asset_group and date, and you need both a date-by-category pivot and a keyed side-by-side comparison of two datasets in a single call. It is ideal for creative/media pipeline analytics where you want to compare rendering performance across groups or between pipeline versions without any external data lookups.
Side effects
- Missing required fields (row_id, asset_group, date, node_count, render_seconds) cause validation errors
- Exceeding 200 rows returns an error or truncated results
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Empty rows array rejected due to minItems:1 constraint
- Mismatched row_ids between primary and comparison dataset may yield empty comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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