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HALOWERK laufwerk Max Stops Readiness Check
x402
HALOWERK laufwerk Max Stops 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).
Checks whether a vehicle routing problem can be feasibly solved within a maximum stops-per-vehicle constraint, given jobs, vehicles, and a travel-time duration 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 vehicle routing configuration is feasible or ready to solve under the specified maximum stops-per-vehicle constraint, potentially including flags or details about why the configuration is or isn't solvable.
Example use cases
Pre-check delivery fleet feasibility
“I have 2 delivery vans each with a capacity of 500 and an 8-hour shift, and 8 jobs with varying demands and 2-hour time windows. Can you check if this is feasible with no more than 4 stops per vehicle, using this travel-time matrix I have?”
Last-mile logistics readiness validation
“Before I run full route optimization, check if my 4 vehicles can realistically handle 15 parcels with a max of 6 stops per vehicle — shifts run from 0 to 28800 seconds and I've got the duration matrix ready.”
Fleet capacity constraint assessment
“I'm planning a courier run with 1 vehicle, capacity 200, and 5 small jobs each needing 300 seconds of service time. Can you tell me if it's ready to solve with a max-stops limit of 5 and the travel durations I provide?”
Technical details
Endpoint
POSThttps://lauf.halowerk.com/v1/tours/max-stops-readiness?utm_source=zero.xyzWhen to prefer
Use this endpoint when you want a fast feasibility or readiness check on a vehicle routing problem before committing to a full optimization solve. It is ideal for pre-validation pipelines where you need to confirm that stop limits, time windows, capacities, and travel durations are mutually compatible before investing in heavier computation. Prefer this over a full VRP solver when you want to fail fast and surface constraint violations early.
Side effects
- Missing required job fields (id, point, demand, service_s, window) returns validation error
- Duration matrix dimensions do not match number of points causing rejection
- Max stops per vehicle exceeds job count or vehicle count constraints
- Time windows or shift windows outside allowed range (0–604800 seconds) rejected
- More than 20 jobs or more than 4 vehicles provided exceeds schema limits
- Null values in duration matrix for required point pairs may cause computation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| jobs | array | |
| vehicles | array | |
| durations_s | array | |
| matrix_source | string | |
| max_stops_per_vehicle | integer |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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