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Held-Order Release Share IQR Outlier Flags
x402
Held-Order Release Share 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 2026-10-20).
Computes IQR-based outlier flags for held-order release share metrics across up to 200 retail data rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Held-order release share - IQR outlier flags: IQR outlier flags for Held-order release share. Supplied retail figures only, up to 200 records. No platform access, live rates or order execution. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded iqr outlier flags report.
Output
Returns IQR-based outlier flags for each supplied row, identifying which held-order release share values fall outside the interquartile range. Each record is flagged as an outlier or not, enabling quick identification of anomalous order release patterns within the supplied retail dataset.
Example use cases
Retail fulfillment anomaly detection
“I have a batch of retail order records and want to know which ones have unusually high or low release shares — can you run IQR outlier flagging on these held and released order counts: 100/75, 200/180, 95/20, 110/82?”
Quality check on order processing data
“Before I send this dataset to my manager, can you check for statistical outliers in the held-order release ratios? Here are 5 rows: held 500 released 450, held 510 released 460, held 490 released 440, held 520 released 10, held 505 released 455.”
Monitor order backlog release consistency
“Run an IQR outlier check on our weekly held-order release share figures — we tracked held orders and released orders across 6 weeks: 300/270, 310/280, 295/265, 308/277, 1200/100, 302/272.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-held-order-release-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, bounded IQR-based outlier detection specifically on held-order release share data in a retail context. It is ideal for small-to-medium datasets (2–200 rows) where you want a statistical flag per record without needing live order execution, platform access, or streaming rates. Prefer alternatives if you need time-series trend analysis, rolling means, or outlier detection on non-order-release metrics.
Side effects
- Fewer than 2 rows supplied — minimum row count not met
- held_orders value of 0 or negative — exclusiveMinimum violation
- More than 200 rows submitted — maxItems exceeded
- Non-numeric values in held_orders or released_orders fields
- Missing required fields held_orders or released_orders in any row
- Payment failure or insufficient USDC balance for $0.01 fee
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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