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Unit Fill Rate IQR Outlier Flags
x402
Unit Fill Rate 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 2026-10-27).
Computes IQR-based outlier flags for unit fill rate values across supplied retail row data
Price / call$0.01
Success—
StatusUnknown
How this service works
Unit fill rate - IQR outlier flags: IQR outlier flags for Unit fill rate. Supplied retail figures only. Local calculation and scenario analysis; no live inventory, account access, platform fee lookup or order execution. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded iqr outlier flags deliverable.
Output
Returns IQR-based outlier flags for each input row's unit fill rate (fulfilled_units / ordered_units), indicating which rows deviate significantly from the interquartile range of the supplied dataset. Output includes outlier indicators per row based purely on local calculation from the provided data.
Example use cases
Retail fulfillment anomaly detection
“I have a batch of order rows from last week — can you run IQR outlier detection on the fill rates? Rows: [{ordered_units: 500, fulfilled_units: 475}, {ordered_units: 300, fulfilled_units: 40}, {ordered_units: 400, fulfilled_units: 380}, {ordered_units: 350, fulfilled_units: 330}]. Flag any that look statistically unusual.”
Supplier performance quality check
“We're reviewing supplier shipment data and want to know which deliveries had abnormal fill rates. Here's the dataset with ordered and fulfilled units for 5 suppliers — apply IQR-based outlier flagging so we can follow up with the outliers.”
Inventory scenario analysis for planners
“I'm doing a scenario analysis on our warehouse fill rates. Can you take these rows of ordered vs fulfilled units and tell me which ones fall outside the IQR bounds? I want to understand the distribution before presenting to the ops team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-unit-fill-outliers?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need local, stateless IQR-based outlier detection on unit fill rate data without requiring live inventory system access, platform credentials, or account integration. Ideal for batch scenario analysis, ad-hoc retail audits, or preprocessing fulfillment data before deeper analysis. Prefer over general statistics APIs when you specifically need fill rate (fulfilled/ordered ratio) outlier flagging with a simple per-row input format.
Side effects
- Fewer than 2 rows supplied — minimum minItems:2 required
- ordered_units is 0 or missing (exclusiveMinimum:0 enforced)
- More than 200 rows submitted — maxItems:200 limit
- fulfilled_units exceeds ordered_units by large margin — accepted but may produce unexpected outlier flags
- Malformed row objects missing required fields ordered_units or fulfilled_units
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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