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Compositing Graphs — Record Quality Audit + String Normalisation + Two-Measure Correlation
x402
Compositing Graphs — Record Quality Audit + String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Runs three analytical reports on supplied compositing graph records: record quality audit, string normalisation, and correlation between node_count and render_seconds — all locally, no external calls.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied compositing graphs records (node_count, render_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent reports: (1) a record quality audit flagging completeness, formatting issues, and anomalies in each row; (2) a string normalisation report for the asset_group field; and (3) a Pearson or equivalent two-measure correlation report between node_count and render_seconds. All computed locally from supplied data with no external lookups.
Example use cases
Render pipeline data quality check
“I have a batch of compositing graph records with node counts and render times — can you audit them for quality issues, normalise the asset group strings, and tell me how correlated node_count is with render_seconds? Here are the rows.”
Identifying dirty asset group labels
“My compositing dataset has inconsistent asset_group names — some are capitalised differently or have extra spaces. Can you normalise those strings, run a quality audit on all records, and also give me the correlation between node_count and render_seconds?”
Validating render metrics before pipeline handoff
“Before I hand off my compositing graph data downstream, I need three reports: a record quality audit, normalised strings for asset_group, and a two-measure correlation between node_count and render_seconds. I have about 150 rows — can you process them?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have compositing graph records (with node_count and render_seconds metrics) and need three bundled analytical reports — quality audit, string normalisation, and correlation — in a single low-cost call without any external data fetching, prediction, or live lookups. Ideal for pre-pipeline data validation and quick statistical insight on render data batches of up to 200 rows.
Side effects
- Exceeding 200 rows returns an error or truncation
- Rows missing required fields (row_id, asset_group, date, node_count, render_seconds) may be flagged or rejected
- Invalid date format (not YYYY-MM-DD) causes validation failure
- All-null values for node_count or render_seconds prevent correlation computation
- Malformed JSON input returns schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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