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Compositing Graphs — String Normalisation + Secondary-Measure Weighted Mean
x402
Compositing Graphs — String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Performs string normalisation and secondary-measure weighted mean analysis on compositing graph records (node_count, render_seconds) for up to 200 rows, returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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: one string-normalisation result for the chosen field (node_count or render_seconds) across supplied compositing graph rows, and one secondary-measure weighted mean computation, both derived from the supplied rows (up to 200) using local analytical engines with no external lookups.
Example use cases
Compositing pipeline render time audit
“I have 50 compositing graph records from this week's render farm runs — each has an asset group, node count, and render seconds. Can you normalise the node_count strings and compute a render_seconds-weighted mean so I can see which asset groups are most expensive?”
VFX asset group benchmarking
“We're benchmarking our compositing graphs across two asset groups. I have 80 rows with dates, node counts, and render seconds. Please run string normalisation on the asset group labels and give me a secondary-measure weighted mean using render_seconds as the field.”
Render performance summary for compositing nodes
“Here are 120 rows of compositing graph data with node_count and render_seconds per asset group. Can you normalise the node count values and produce a weighted mean report using node_count as the secondary measure field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular compositing graph data (node counts and render seconds per asset group) and need both string normalisation and a secondary-measure weighted mean in a single low-cost call ($0.01 USDC for 2 reports). It is purely analytical with no external lookups, making it deterministic and fast for offline batch analysis of up to 200 rows.
Side effects
- More than 200 rows supplied — request will be rejected or truncated
- Missing required fields (row_id, asset_group, date, node_count, render_seconds) cause validation errors
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Null values in both node_count and render_seconds may produce undefined weighted mean
- Field enum value not matching 'node_count' or 'render_seconds' causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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