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Render Jobs Numeric Row Ordering + IQR Outlier Flags
x402
Render Jobs Numeric Row Ordering + 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).
Sorts render job records by a numeric field and flags statistical outliers using the interquartile range (IQR) method, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Numeric row ordering + IQR outlier flags: Numeric row ordering + 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 reports: one with rows ordered by the selected numeric field (render_seconds or sample_count) and one with IQR-based outlier flags indicating which rows fall outside the interquartile range boundaries. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Detect slow renders in pipeline
“I have 80 render job records from last week with row IDs, asset groups, dates, and render_seconds values — can you sort them by render_seconds and flag any outliers using IQR so I can see which jobs took abnormally long?”
Audit sample counts across asset groups
“Here are 120 render job rows from our October batch — please sort them by sample_count and use IQR outlier detection to flag any rows where the sample count looks anomalous compared to the rest.”
QA render job dataset before reporting
“Before I send this render job report to the team, can you run a numeric sort and IQR outlier check on both render_seconds and sample_count across these 60 rows so I can catch any data issues?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-119?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 render job records and need both a numeric sort and IQR-based outlier detection in a single call without any external data lookups, predictions, or integrations. It is ideal for quick QA of rendering pipeline data, pre-report auditing, or identifying anomalous jobs before escalation. Prefer it over general analytics tools when you specifically need IQR outlier flagging on render_seconds or sample_count fields with minimal cost ($0.01 USDC per call).
Side effects
- Fewer than 1 row submitted returns an error
- More than 200 rows submitted exceeds limit
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Missing required fields (row_id, asset_group, date, render_seconds, sample_count) causes rejection
- Null numeric values may affect IQR computation
- Field selector not in enum ['render_seconds','sample_count'] causes validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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