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Render Jobs Grouped Numeric Summary with IQR Outlier Flags
x402
Render Jobs Grouped Numeric Summary with IQR Outlier Flags 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 grouped descriptive statistics and IQR-based outlier flags for render job records across render_seconds or sample_count fields, covering up to 200 rows in two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + IQR outlier flags 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: (1) a grouped numeric summary (e.g. mean, median, std dev, min, max, quartiles) broken down by asset_group for the selected numeric field, and (2) IQR-based outlier flags identifying which rows deviate significantly from their group's interquartile range. Both reports are computed locally with no external lookups.
Example use cases
Flagging slow renders by asset group
“I have a batch of render job logs grouped by asset_group — can you run a grouped numeric summary on render_seconds and flag any rows that are IQR outliers within their group? I'll give you up to 150 rows with row_id, date, asset_group, render_seconds, and sample_count.”
Sample count anomaly detection across groups
“Here are 80 render job records with row_id, asset_group, date, render_seconds, and sample_count — can you group them by asset_group and produce a numeric summary plus IQR outlier flags for the sample_count field?”
Studio render QA report
“We have 200 render job entries from our studio pipeline and I need a grouped statistical summary with outlier flags on render_seconds — please group by asset_group and tell me which rows fall outside the IQR for their group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-094?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular render job data grouped by asset categories and need both summary statistics and IQR-based outlier detection in a single call without any external data lookup or prediction. It is ideal for offline/batch QA workflows on up to 200 rows where local, reproducible analytics are sufficient. Prefer alternatives if you need real-time monitoring, live data ingestion, prediction, or more than 200 rows.
Side effects
- Input array is empty or missing required fields (row_id, asset_group, date, render_seconds, sample_count)
- More than 200 rows submitted — exceeds the maximum item limit
- Invalid date format (must match YYYY-MM-DD pattern)
- Numeric field values outside the allowed range (-1e12 to 1e12)
- Field selector not one of the allowed enum values: render_seconds or sample_count
- All values in a group are null, preventing IQR calculation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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