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HALOWERK laufwerk – Tour Distance Readiness Check
x402
HALOWERK laufwerk – Tour Distance Readiness Check 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).
Assesses whether a set of delivery jobs can be feasibly completed by available vehicles given a precomputed distance/duration matrix and optional maximum distance constraint.
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 provided jobs can be feasibly served by the given vehicles, taking into account capacity, time windows, service durations, distance/duration matrices, and the optional maximum distance constraint. May include per-job or per-vehicle feasibility signals.
Example use cases
Pre-dispatch route feasibility check
“Before we send out our drivers tomorrow morning, check if our 2 vans (capacity 200 each, 7am–4pm shift) can realistically cover all 8 delivery jobs given the time windows and this distance matrix — let me know if anything is out of reach within 30 km.”
Logistics planning for same-day deliveries
“We've got 15 same-day parcels with tight time windows and 3 vehicles available from 9am to 6pm. Run a distance readiness check using the duration and distance matrices I've prepared and tell me if the plan is feasible.”
Fleet capacity validation before optimization
“Before running the full route optimizer, can you do a quick readiness check for 4 vehicles and 20 stops? I want to know if the capacity and shift windows allow completion of all jobs within a 200 km max distance.”
Technical details
Endpoint
POSThttps://lauf.halowerk.com/v1/tours/distance-readiness?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, pre-optimization feasibility check for a vehicle routing problem — before committing to full route optimization. It is ideal when you already have a precomputed distance/duration matrix and want to validate that capacity, time windows, shift hours, and distance limits are compatible with the job set, without running a more expensive solver.
Side effects
- Missing required fields (jobs, vehicles, distances_m, or durations_s) return validation errors
- Matrix dimensions not matching number of points cause schema rejection
- Vehicle capacity set to zero or negative triggers validation failure
- Time window arrays with incorrect length (not exactly 2 elements) are rejected
- Jobs or vehicles exceeding array size limits (20 jobs, 4 vehicles) cause rejection
- Null values in matrix that prevent feasibility calculation may return partial or error results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| jobs | array | |
| vehicles | array | |
| distances_m | array | |
| durations_s | array | |
| matrix_source | string | |
| max_distance_m | number |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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