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HALOWERK laufwerk — Driving Readiness / Vehicle Routing Feasibility
x402
HALOWERK laufwerk — Driving Readiness / Vehicle Routing Feasibility is a paid API for AI agents from lauf.halowerk.com, paid per call via x402, $0.007/call, status unknown (last checked 2026-10-10).
Checks whether a set of delivery or service jobs can be feasibly assigned to a fleet of vehicles given time windows, capacity constraints, and a travel-time matrix
Price / call$0.007
Success—
StatusUnknown
How this service works
HALOWERK laufwerk — bezahlte Endpunkte nach x402. Preise in USDC auf Base Mainnet.
Output
A JSON response indicating whether the given set of jobs can be feasibly assigned to the provided vehicles, respecting time windows, vehicle capacities, shift hours, and the maximum allowed driving time. May include assignment details, unserved jobs, or schedule feasibility indicators.
Example use cases
Last-mile delivery feasibility check
“I have 3 delivery vehicles each with a 200-unit capacity and shifts from 7am to 5pm, and 12 drop-off jobs with their own time windows and a 13×13 travel-time matrix — run a driving readiness check to see if all jobs can be covered without any driver exceeding 9 hours of driving.”
Field service scheduling validation
“Before I dispatch my 2 repair technicians (capacity 50 units each, shifts 8am–4pm), can you verify that these 8 service appointments with their required time windows and a travel-time matrix are all reachable and feasible within today's schedule?”
Courier fleet capacity pre-check
“I'm planning a courier run with 4 vans (capacity 1000 each, shifts 6am–8pm) and 20 parcels — each parcel has a delivery window and service time. Use the provided 21×21 duration matrix to check if the fleet is ready and all parcels can be delivered on time.”
Technical details
Endpoint
POSThttps://lauf.halowerk.com/v1/tours/driving-readiness?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, pre-dispatch feasibility check for small fleet routing problems (up to 4 vehicles, up to 20 jobs) before committing to a full route optimization. It is ideal for validating logistics plans against time windows and driving-hour constraints without needing a full VRP solver. Use it when you already have or can compute a travel-time matrix externally.
Side effects
- Invalid or missing required fields (id, point, demand, window, service_s for jobs; id, capacity, shift for vehicles) return a 422 validation error
- Duration matrix dimensions must match number of points (up to 21×21); mismatched dimensions cause errors
- More than 20 jobs or more than 4 vehicles exceeds schema limits and will be rejected
- Null values in the duration matrix for required routes may cause infeasibility or errors
- Payment not processed (x402 protocol failure) results in a 402 response
- Overlapping or impossible time windows may cause the solver to return no feasible solution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| jobs | array | |
| vehicles | array | |
| durations_s | array | |
| matrix_source | string | |
| max_driving_s | number |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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