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Case-pack Order Rounding – IQR Outlier Flags
x402
Case-pack Order Rounding – 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).
Identifies IQR-based statistical outliers in case-pack order rounding calculations across up to 200 retail SKU rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Case-pack order rounding - IQR outlier flags: IQR outlier flags for Case-pack order rounding. 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
A bounded report containing IQR outlier flags for each submitted row, indicating which records fall outside the interquartile range for case-pack order rounding across the supplied retail figures.
Example use cases
Retail buyer anomaly audit
“I have 50 retail order rows with required_units and case_units for each SKU — can you flag which ones are IQR outliers in the case-pack rounding? Here's the list: [{required_units:25,case_units:12},{required_units:200,case_units:12},{required_units:27,case_units:12}] and so on.”
Supply chain data quality check
“Before we send these replenishment orders to the warehouse, run an IQR outlier check on the case-pack rounding for all 80 SKU rows to catch any data entry errors or weird quantities.”
Merchandising team order review
“Our merchandising team submitted 120 case-pack orders — please apply IQR outlier flagging to the required_units and case_units pairs so we can review anything statistically unusual before processing.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-case-pack-rounding-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, per-record IQR-based outlier flagging on retail case-pack rounding data without needing live rates, platform access, or order execution. Prefer it over full statistical platforms when you have up to 200 rows and want a fast, cheap ($0.01 USDC) bounded report for anomaly detection in order quantities.
Side effects
- Fewer than 2 rows submitted — minimum row count not met
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (required_units or case_units) in one or more rows
- Non-integer values passed for required_units or case_units
- Values outside allowed range (case_units < 1 or > 1,000,000; required_units < 0 or > 1,000,000)
- Payment not included or insufficient USDC balance
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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