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HALOWERK laufwerk — Appointment Readiness Check
x402
HALOWERK laufwerk — Appointment 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 set of scheduled appointments can feasibly be served by available vehicles given travel durations, time windows, and appointment times.
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 set of appointments is feasible given vehicle shifts, capacities, travel durations, and appointment time constraints — likely including per-job or aggregate readiness status, and potentially flagging which appointments are at risk or unreachable.
Example use cases
Field service appointment feasibility check
“I have 2 technicians working 8am–5pm shifts and 8 customer appointments scheduled throughout the day with fixed appointment times. Given this travel time matrix between all locations, can you tell me if all appointments are actually achievable, or if any will be missed?”
Delivery fleet readiness validation
“Before I confirm these 15 parcel delivery slots with customers, can you run a check to make sure my 4 vans — each with a capacity of 500kg and shifts from 7am to 3pm — can actually make all the appointments on time given the travel durations between stops?”
Healthcare home visit scheduling check
“I've got 3 care workers and 12 home visit appointments booked for tomorrow, each with a strict appointment time and a 20-minute tolerance window. Can you validate whether the schedule is feasible given the travel times between each patient's address?”
Technical details
Endpoint
POSThttps://lauf.halowerk.com/v1/tours/appointment-readiness?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to validate whether a pre-scheduled set of appointments is operationally feasible before committing to customers — particularly when you have fixed appointment times (not just time windows), a known travel duration matrix, and a bounded fleet. Prefer this over general VRP solvers when the schedule is already defined and you need a readiness/feasibility verdict rather than an optimized route plan.
Side effects
- Invalid duration matrix dimensions not matching jobs+vehicles count
- Job appointment_s or window outside vehicle shift range
- Missing required fields (id, point, demand, service_s, window, appointment_s) in jobs
- Vehicle capacity exceeded by cumulative job demand
- Matrix contains nulls for required travel legs causing incomplete feasibility check
- Exceeding max items limits (20 jobs, 4 vehicles, 21x21 matrix)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| jobs | array | |
| vehicles | array | |
| durations_s | array | |
| matrix_source | string | |
| appointment_tolerance_s | number |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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