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HALOWERK VRP Plan — Vehicle Routing Problem Solver
x402
HALOWERK VRP Plan — Vehicle Routing Problem Solver is a paid API for AI agents from lauf.halowerk.com, paid per call via x402, $0.006/call, status unknown (last checked 2026-10-12).
Solves a capacitated vehicle routing problem with time windows (CVRPTW), returning an optimized delivery/visit plan for a fleet of vehicles across a set of jobs.
Price / call$0.006
Success—
StatusUnknown
How this service works
HALOWERK laufwerk — bezahlte Endpunkte nach x402. Preise in USDC auf Base Mainnet.
Output
An optimized vehicle routing plan detailing which vehicle handles which jobs, in what sequence, and at what times — respecting vehicle capacities, shift windows, job time windows, and service durations. Computed using the provided travel duration matrix.
Example use cases
Last-mile courier route planning
“I need to plan routes for 4 delivery vans making 18 stops today. Each stop has a demand and a time window when the customer is home, and each van has a 300 kg capacity with a shift from 7am to 7pm. I have all the travel durations between locations — can you find the optimal assignment and sequence of deliveries for each van?”
Field technician scheduling
“I have 2 field service technicians (capacity 1 job unit each, shift 9am–5pm) and 10 customer sites to visit, each needing exactly 1 unit of service and a 30-minute visit. Each site has a time window. Can you compute the best schedule and route for each technician given the travel times between all sites?”
Food delivery fleet optimization
“Our restaurant has 3 delivery drivers working 11am–3pm, and we have 12 pending orders each with a weight, a requested delivery window, and a 5-minute handoff time. Using the travel duration matrix I'll provide, find the optimal way to assign and sequence the orders across our 3 drivers to minimize total time.”
Technical details
Endpoint
POSThttps://lauf.halowerk.com/v1/vrp-plan?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, pay-per-call VRP solver with time windows and capacity constraints for small-to-medium fleets (up to 4 vehicles, 20 jobs) without managing your own OR infrastructure. Ideal for agents that need on-demand route optimization without a subscription. Particularly suited when you already have a precomputed travel duration matrix (e.g. from a mapping API). For larger fleets or more complex constraints, consider a dedicated OR platform.
Side effects
- No feasible solution exists if time windows are too tight or capacity is insufficient for demand
- Invalid or incomplete duration matrix (wrong dimensions relative to number of points) returns a validation error
- Job or vehicle count exceeds allowed limits (max 20 jobs, max 4 vehicles)
- Null values in duration matrix for required routes may cause infeasibility
- Point indices out of range relative to the provided matrix size
- Payment failure via x402 protocol if insufficient USDC balance on Base Mainnet
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| jobs | array | |
| vehicles | array | |
| durations_s | array | |
| matrix_source | string |
Tags
x402
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