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HALOWERK Container Load Planner
x402
HALOWERK Container Load Planner is a paid API for AI agents from handel.halowerk.com, paid per call via x402, $0.006/call, status unknown (last checked 2026-09-14).
Computes an optimal 3D bin-packing loading plan for a set of packages into a single container or loading space, returning the exact placement positions and orientations.
Price / call$0.006
Success—
StatusUnknown
How this service works
Loads a package list into one loading space and returns the plan, not an estimate. The floor starts as one free surface; packages are sorted by footprint, then height, then weight, then identifier, and each one is placed on the lowest, then frontmost, then smallest free surface it fits on, turned by 90 degrees around the vertical axis where that makes it fit.
Output
Returns a deterministic loading plan (not an estimate) specifying for each package: its position within the loading space (x/y/z coordinates), its orientation (including any 90-degree rotation around the vertical axis), and the sequence in which packages should be placed. The plan is derived from a greedy algorithm that sorts packages by footprint, height, weight, and identifier, placing each on the lowest, then frontmost, then smallest free surface it fits on.
Example use cases
Truck loading optimization for a shipment
“I have a truck with internal dimensions 2.4m x 2.6m x 7.5m and 15 packages of varying sizes and weights — give me a full loading plan showing exactly where each package should go and if any should be rotated.”
Warehouse pallet consolidation planning
“I need to consolidate these 8 parcels into one loading space before they go out — can you compute the optimal arrangement so everything fits, sorted by size and weight properly?”
Automated fulfillment container packing
“Before we seal this shipping container, run a loading plan for all 30 packages in our order — I need the exact position of each item and whether it should be turned sideways to fit.”
Technical details
Endpoint
POSThttps://handel.halowerk.com/v1/container-loadWhen to prefer
Choose this endpoint when you need a deterministic, rule-based 3D bin-packing plan for a single loading space and want a guaranteed placement result rather than a probabilistic estimate. It is ideal for logistics automation workflows where reproducibility and consistency matter — the same input always produces the same output. Prefer it over heuristic or AI-based packing tools when auditability and predictability are required, or when integrating into an automated fulfillment or shipping pipeline that needs exact coordinates per package.
Side effects
- Packages collectively exceed the container volume — endpoint may return an error or partial plan indicating overflow
- Invalid or missing package dimensions result in a validation error
- Container dimensions not provided or malformed cause a 400-level error
- A package with no valid surface placement (too large in all orientations) may be skipped or flagged
- Network or payment (x402) authentication failure returns a 402 or 5xx error
Tags
x402
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