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Parcel Dimensional Weight IQR Outlier Flags
x402
Parcel Dimensional Weight 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 2026-10-18).
Computes IQR-based outlier flags for a batch of parcel dimensional weight values using supplied length, width, height, and carrier divisor inputs.
Price / call$0.01
Success—
StatusUnknown
How this service works
Parcel dimensional weight - IQR outlier flags: IQR outlier flags for Parcel dimensional weight. 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 submitted parcel row, indicating which parcels have dimensional weights that fall outside the interquartile range of the provided batch. No live inventory, account, fee, or order data is included — results are computed locally from the submitted figures.
Example use cases
Spot anomalous shipments before billing
“I have a list of parcels from last week's retail orders — can you run IQR outlier detection on their dimensional weights so I can see which ones look abnormal before we get billed by the carrier? Boxes range from 30×20×15 (divisor 5000) to 120×80×60 (divisor 5000), with a few others in between.”
Carrier divisor scenario comparison
“We're comparing two carrier divisors — 5000 and 6000 — on the same set of box dimensions. Can you flag which parcels come out as dimensional weight outliers under each scenario? I'll give you 10 parcels all at 40×30×20.”
Quality check on warehouse pack data
“Our warehouse team logged 50 parcel dimension records this month and I want to make sure none of them are data entry errors or extreme outliers — can you run an IQR outlier check on all of them using a carrier divisor of 5000?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-dimensional-weight-outliers?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a batch of 2–200 parcel records and need to programmatically identify which packages have unusual dimensional weights relative to the rest of the group using IQR statistics. It is best suited for retail logistics scenarios where you want a quick, reproducible outlier signal without needing live carrier APIs, inventory systems, or account credentials.
Side effects
- Fewer than 2 rows submitted — minimum row count not met
- Row missing required field (length, width, height, or carrier_divisor) — validation error
- carrier_divisor of zero submitted — exclusiveMinimum violation
- More than 200 rows submitted — maxItems exceeded
- Non-numeric values in dimension fields — type error
- Homogeneous dataset with zero IQR — all points may be flagged or none, depending on implementation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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