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Parcel Dimensional Weight Two-Input Scenario Grid
x402
Parcel Dimensional Weight Two-Input Scenario Grid 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).
Generates a two-input scenario grid of parcel dimensional weight calculations across combinations of two chosen parcel dimensions or carrier divisors.
Price / call$0.01
Success—
StatusUnknown
How this service works
Parcel dimensional weight - Two-input scenario grid: Two-input scenario grid 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 two-input scenario grid deliverable.
Output
Returns a two-dimensional grid (matrix) of computed parcel dimensional weights, where each cell corresponds to a specific combination of the two chosen input variables (e.g. length × width), calculated using the formula (length × width × height) / carrier_divisor. The grid covers all combinations of the provided values_x and values_y arrays against the baseline.
Example use cases
Carrier divisor sensitivity for packaging
“I want to see how dimensional weight changes as I vary the carrier divisor from 4000 to 5000 to 6000 against different heights of 15, 20, 25 cm — use a baseline package of length 40, width 30, height 20.”
Packaging redesign scenario analysis
“Run a two-axis grid showing dimensional weight for length values of 35, 40, 45, 50 and width values of 25, 30, 35, 40, with baseline height 20 and carrier divisor 5000, so I can figure out the lightest viable box size.”
Retail box dimension optimization
“Can you generate a scenario grid varying height from 10 to 15 to 20 to 25 cm on one axis and length from 30 to 35 to 40 cm on the other, with a baseline of width 30, height 20, length 40, and carrier divisor 5000? I'm trying to optimize our retail shipping boxes.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-dimensional-weight-stress-grid?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a structured two-dimensional sensitivity table of parcel dimensional weight across combinations of two parcel parameters (length, width, height, or carrier divisor) — particularly for packaging optimization, carrier comparison, or retail shipping scenario analysis. It is a local computation with no live data dependencies, making it fast and fully deterministic. Prefer it over manual calculation when you need a matrix of results across multiple value combinations at once.
Side effects
- carrier_divisor of 0 is rejected (exclusiveMinimum constraint)
- more than 10 values in values_x or values_y arrays returns a validation error
- field_x and field_y set to the same dimension may produce degenerate results
- negative dimension values may produce unexpected negative dimensional weights
- missing required baseline fields (length, width, height, carrier_divisor) returns schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| field_x | string | |
| field_y | string | |
| baseline | object | |
| values_x | array | |
| values_y | array |
Tags
x402
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