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Render Jobs Numeric Distribution & IQR Outlier Flags
x402
Render Jobs Numeric Distribution & 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 numeric distribution statistics and IQR-based outlier flags for up to 200 render job records across two fields (render_seconds, sample_count) in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Numeric distribution + IQR outlier flags: Numeric distribution + 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 analytical reports (one per numeric field) covering distribution statistics (min, max, mean, median, quartiles, IQR) and per-row IQR-based outlier flags indicating which rows fall outside the expected range, for up to 200 supplied render job records.
Example use cases
Identify slow outlier render jobs
“I have a batch of 120 render job records with dates, asset groups, render_seconds, and sample_counts — can you run the IQR outlier detection on render_seconds so I can see which jobs took abnormally long?”
Audit sample count distribution by asset group
“Here are 80 render job rows across two asset groups. Can you compute the numeric distribution and flag any outliers in the sample_count field so I know if any jobs are statistically anomalous?”
QA render pipeline performance before delivery
“Before I hand off this render batch to the client, I want to check the distribution stats and outlier flags for both render_seconds and sample_count across my 200 job records — can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-080?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical analysis of render job performance data — specifically IQR-based outlier detection and numeric distribution summaries — without requiring any external data lookup or live service. Ideal for QA pipelines, post-render audits, and batch performance reviews of up to 200 jobs at $0.01 per call covering both numeric fields.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, render_seconds, sample_count) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Null values in numeric fields may affect IQR computation or be excluded from distribution
- Field enum value outside ['render_seconds','sample_count'] returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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