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Render Jobs Equal-Width Histogram and IQR Outlier Flags
x402
Render Jobs Equal-Width Histogram and 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 2026-10-22).
Generates an equal-width histogram and IQR-based outlier flags for render job records (render_seconds or sample_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Equal-width histogram + IQR outlier flags: Equal-width histogram + 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: (1) an equal-width histogram showing the distribution of the selected field (render_seconds or sample_count) across configurable bins, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Flagging slow render pipeline jobs
“I have 80 render job records from last week — can you run a histogram with 8 bins on render_seconds and flag any outliers using IQR so I can see which jobs were anomalously slow?”
Sample count distribution across asset groups
“Here are 150 render jobs from our studio pipeline. Please bin the sample_count field into 5 equal-width buckets and identify any IQR outliers so I know which jobs had unusually high or low sample counts.”
QA check on daily render batch
“Run a quick statistical check on today's render batch — give me a 6-bin histogram and IQR outlier flags for render_seconds across these 40 job records so I can spot anything that looks off before sign-off.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-170?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical analysis (histogram + IQR outlier detection) on render job performance data without requiring an external analytics platform. It is ideal when you have up to 200 render job records and want two complementary reports (distribution + outlier flags) in a single cheap API call. Prefer this over general-purpose analytics APIs when your data is already structured as render job records with render_seconds and sample_count fields.
Side effects
- Missing required fields (row_id, date, render_seconds, sample_count) returns validation error
- Exceeding 200 rows results in rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- All-null values in the selected field may produce degenerate histogram
- Bin count outside 1–30 range is rejected
- Payment of 0.01 USDC not included causes 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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