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Parcel Dimensional Weight Rolling Mean Report
x402
Parcel Dimensional Weight Rolling Mean Report 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).
Calculates a rolling mean of parcel dimensional weight across a series of shipment rows using a configurable sliding window.
Price / call$0.01
Success—
StatusUnknown
How this service works
Parcel dimensional weight - Rolling mean report: Rolling mean report 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 rolling mean report deliverable.
Output
Returns a rolling mean report showing the smoothed dimensional weight values computed across the input rows using the specified sliding window size. Each windowed average represents the mean dimensional weight (length × width × height ÷ carrier_divisor) over the preceding N rows, enabling trend analysis and scenario comparison.
Example use cases
Carrier billing trend smoothing
“I have a list of 6 recent shipments with their length, width, height, and our carrier's divisor of 5000 — can you compute a rolling mean of the dimensional weight using a window of 3 so I can see how our average billed weight is trending?”
Scenario analysis with different divisors
“Run a dimensional weight rolling mean report for these 5 parcels: some using a divisor of 5000 and others 6000, with a window of 2, so I can compare how the carrier divisor choice affects our average shipping weight.”
Retail parcel optimization check
“I want to smooth out our dimensional weight data across a batch of 8 parcel sizes we use regularly — all with a carrier divisor of 5000 — using a rolling window of 4. Can you give me the rolling mean report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-dimensional-weight-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to smooth or trend-analyze dimensional weight data across a series of parcel measurements using a sliding window average. It is best suited for local scenario analysis and retail shipping planning when you have a list of historical or hypothetical parcel dimensions and want to understand how average dimensional weight evolves over the series. Prefer this over single-point DIM weight calculators when trend smoothing or rolling aggregation is the goal.
Side effects
- Fewer than 2 rows provided — minimum row count not met
- Window size exceeds number of rows — computation not possible
- Carrier divisor of zero provided — division by zero error
- Row missing required field (length, width, height, or carrier_divisor) — schema validation failure
- More than 200 rows submitted — exceeds maxItems limit
- Payment not fulfilled — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| window | integer |
Tags
x402
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