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Compositing Graphs IQR Outlier Flags and Two-Measure Correlation Analysis
x402
Compositing Graphs IQR Outlier Flags and Two-Measure Correlation Analysis 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 IQR-based outlier detection and two-measure correlation analysis on user-supplied compositing graph records (node_count, render_seconds) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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) IQR outlier flags identifying which rows have node_count or render_seconds values outside the interquartile range bounds, and (2) a two-measure correlation report quantifying the statistical relationship between node_count and render_seconds across the supplied rows.
Example use cases
Render pipeline anomaly detection
“I have a batch of compositing graph records from last week — each row has a row_id, asset_group, date, node_count, and render_seconds. Can you flag any rows where node_count looks like an IQR outlier and also tell me if node_count and render_seconds are correlated?”
Asset group performance audit
“Here are 120 rows of compositing graph data across multiple asset groups, each with node_count and render_seconds. Run IQR outlier flagging on node_count and give me the correlation between node_count and render_seconds so I can see if heavier graphs actually take longer to render.”
Spot-check compositing job metrics
“I want to quality-check my compositing pipeline data — I have about 80 records with row_id, asset_group, date, node_count, and render_seconds. Flag any IQR outliers in the node_count field and show me how strongly node_count and render_seconds move together.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have compositing graph pipeline data with node_count and render_seconds fields and need both outlier detection and correlation analysis in a single call. It is purpose-built for this schema (asset_group, date, node_count, render_seconds) and returns two bundled reports for a flat $0.01 USDC, making it more cost-effective than calling separate statistical services. Best when you already have the data locally and need fast, offline-style analytics without any external data lookup.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — request rejected
- Missing required fields (row_id, date, node_count, render_seconds) — schema validation failure
- Non-date-formatted date string — pattern validation error
- Null values in both measures — insufficient data for correlation
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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