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Aligned Shelf Packing Capacity — IQR Outlier Flags
x402
Aligned Shelf Packing Capacity — 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).
Detects IQR-based outliers in shelf packing capacity calculations across up to 200 supplied retail shelf and item dimension records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Aligned shelf packing capacity - IQR outlier flags: IQR outlier flags for Aligned shelf packing capacity. 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 input row, indicating which shelf-and-item dimension combinations produce statistically anomalous packing capacity values based on interquartile range analysis. Up to 200 records processed per call.
Example use cases
Retail planogram data quality audit
“I've got 150 shelf-and-item dimension records from our store planogram system and I think some entries have bad data. Can you flag any outliers in the packing capacity figures using IQR so I can clean them up before the next reset?”
Warehouse fixture capacity anomaly check
“We just measured packing capacity across 80 different warehouse shelf configurations — shelf widths range from 60 to 200 cm, depths 30 to 60 cm, and various item sizes. Can you run IQR outlier detection and tell me which combinations are statistically unusual?”
Vendor dimension submission validation
“Our suppliers submitted shelf and product dimension data for 120 SKUs and I suspect some entries are way off. Run IQR outlier flags on the packing capacity values so I know which vendor submissions need to be reviewed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-shelf-capacity-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of retail shelf and item dimension records and need to identify statistical outliers in calculated packing capacity using the IQR method. It is best suited for data quality audits, planogram validation, and pre-analysis cleaning of shelf data — not for live inventory queries, pricing lookups, or single-record analysis.
Side effects
- Fewer than 2 rows submitted — minimum 2 rows required for IQR computation
- More than 200 rows submitted — exceeds maxItems limit
- Any dimension value is zero or negative — exclusiveMinimum 0 enforced
- Missing required fields (shelf_width, shelf_height, shelf_depth, item_width, item_height, item_depth) cause validation failure
- Non-numeric dimension values cause schema rejection
- Payment of 0.01 USDC not provided — x402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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