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Compositing Graphs Base-100 Series and Keyed Dataset Comparison
x402
Compositing Graphs Base-100 Series and 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).
Runs two analytical reports on compositing graph records: a base-100 indexed time series and a keyed dataset comparison, for up to 200 rows of node_count or render_seconds data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — Base-100 series + Keyed dataset comparison: Base-100 series + 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 analytical reports: (1) a base-100 indexed time series showing relative change in the selected metric (node_count or render_seconds) normalized to 100 at the starting point, and (2) a keyed dataset comparison highlighting differences between the primary and secondary datasets by row key, asset_group, and date. Both reports are computed locally with no external lookups.
Example use cases
Benchmarking render time across two production cycles
“I have compositing graph data from two different production cycles, each up to 150 rows with node_count and render_seconds by asset_group and date — can you run a base-100 series and a keyed comparison on render_seconds so I can see how render performance changed between the two cycles?”
Comparing node counts across two asset group snapshots
“I've got two snapshots of our compositing graph records, each with about 80 rows, and I want to compare node_count across them using a base-100 index and a keyed dataset comparison by asset_group and date.”
Tracking compositing complexity growth over time
“Can you take my compositing graph rows — about 200 entries with node_count, render_seconds, asset_group, and date — and produce a base-100 series plus a keyed comparison against our baseline dataset to show how graph complexity has grown?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to analyze compositing graph performance data (node counts and render times) across two datasets simultaneously, requiring both a base-100 normalized time series and a keyed side-by-side comparison in a single API call. It is ideal for creative production pipelines tracking rendering complexity over time or comparing two production periods without needing external data enrichment or predictions.
Side effects
- Missing required fields (row_id, asset_group, date, node_count, render_seconds) cause validation errors
- Exceeding 200 rows per dataset results in rejection
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- Mismatched keys between primary and comparison datasets may produce empty comparison results
- Null values in the selected metric field may reduce report completeness
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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