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Render Jobs IQR Outlier Flags + Two-Measure Correlation
x402
Render Jobs IQR Outlier Flags + 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 2026-10-17).
Computes IQR-based outlier flags and a two-measure Pearson/Spearman correlation report for up to 200 render job records across render_seconds and sample_count.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation for supplied render jobs records (render_seconds, sample_count). 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 for the submitted render job rows: (1) IQR outlier flags identifying which rows fall outside the interquartile range for the selected measure, and (2) a two-measure correlation report quantifying the statistical relationship between render_seconds and sample_count. Both reports are generated locally from supplied data with no external lookups.
Example use cases
Detecting slow render job anomalies
“I have a batch of 80 render jobs from last week — can you flag which ones had abnormally high or low render_seconds using IQR, and also tell me if there's a correlation between render time and sample count? I'll give you all the row data with dates and asset groups.”
QA check on rendering pipeline output
“We ran our nightly rendering pipeline and I want to know if any jobs produced weird sample_count values that are statistical outliers, and whether sample_count correlates with render_seconds across the 150 jobs. Here's the full dataset with row IDs and asset group labels.”
Comparing asset groups for render performance
“I've got render job records for two asset groups — group-alpha and group-beta — across the past 30 days. Can you run IQR outlier detection on render_seconds and show me the correlation between render duration and sample count for all 60 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both IQR-based outlier detection and a two-measure correlation analysis on render job data (render_seconds and sample_count) in a single call for up to 200 rows. It is ideal for rendering pipeline QA, performance audits, and anomaly detection workflows where no external data enrichment or prediction is needed — just local statistical computation on supplied records.
Side effects
- Fewer than 1 row submitted — minimum row count violation
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, date, render_seconds, or sample_count) in any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Numeric values outside allowed range (±1,000,000,000,000)
- Invalid field enum value (must be render_seconds or sample_count)
- Payment not included or insufficient — x402 payment of 0.01 USDC required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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