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Parcel Dimensional Weight Distribution Histogram
x402
Parcel Dimensional Weight Distribution Histogram 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 a distribution histogram of dimensional weights across a batch of parcel measurements using configurable bin counts and carrier divisors.
Price / call$0.01
Success—
StatusUnknown
How this service works
Parcel dimensional weight - Distribution histogram: Distribution histogram 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 distribution histogram deliverable.
Output
Returns a bounded distribution histogram showing how dimensional weight values (computed from length × width × height ÷ carrier_divisor) are distributed across the specified number of bins, including bin ranges and frequency counts for the input parcel dataset.
Example use cases
Retail shipment DIM weight analysis
“I have a batch of about 50 retail parcels with varying dimensions and we use a 5000 carrier divisor. Can you build a distribution histogram with 10 bins so I can see how our dimensional weights are spread out?”
Carrier divisor scenario comparison
“Run a dimensional weight histogram for these 4 box sizes — 40x30x20 and 44x33x22 — once with a 5000 divisor and once with a 4000 divisor, using 5 bins each, so I can see how the distribution shifts.”
Product packaging optimization
“We're redesigning our packaging and want to see how the new dimensions affect DIM weight distribution. Here are 6 candidate box sizes, all using a 5000 divisor — can you histogram them across 7 bins?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-dimensional-weight-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a statistical frequency distribution of dimensional weights across a batch of parcels (2–200 items) rather than a single DIM weight calculation. It is ideal for retail shipping analysis, packaging optimization, and carrier cost scenario planning where understanding the spread and clustering of dimensional weights matters more than individual values.
Side effects
- Fewer than 2 rows provided — endpoint requires minimum 2 parcels
- More than 200 rows submitted — exceeds maxItems limit
- carrier_divisor of 0 submitted — exclusiveMinimum constraint violated
- bin count outside 1–30 range returns validation error
- Negative dimension values rejected by minimum:0 constraint
- Missing required fields (length, width, height, carrier_divisor) cause schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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