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HALOWERK laufwerk — Tour Stop Consolidation Readiness
x402
HALOWERK laufwerk — Tour Stop Consolidation Readiness 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).
Evaluates whether a set of delivery/service jobs can be feasibly consolidated across available vehicles given time windows, capacities, and travel durations.
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 submitted jobs can be feasibly consolidated across the given vehicles, considering capacity constraints, time windows, shift windows, and travel durations between stops. May include feasibility flags, gap analysis, or readiness scores per vehicle/job combination.
Example use cases
Pre-optimization fleet feasibility check
“Before I run a full route optimization, can you check if my 4 vans (each with capacity 200, shifts from 7am to 6pm) can realistically cover these 15 delivery stops given their time windows and service times? Here's the travel duration matrix between all stops.”
Capacity planning for same-day deliveries
“I'm planning same-day deliveries for tomorrow — I have 2 vehicles with capacity 1000 each, working 8-hour shifts, and 10 jobs with demands between 50 and 300 units. Can you check if consolidation is feasible given these travel times between stops?”
Dispatch readiness validation before driver assignment
“Before I assign drivers, can you run a stop consolidation readiness check for these 12 jobs across 3 vehicles? Each vehicle has a capacity of 750 and a shift window of 25200 seconds, and I have the full duration matrix ready.”
Technical details
Endpoint
POSThttps://lauf.halowerk.com/v1/tours/stop-consolidation-readiness?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast feasibility check on whether a set of delivery or service jobs can be consolidated across a small vehicle fleet before committing to full route optimization. It is ideal for pre-optimization validation, capacity planning, and dispatch readiness checks when you have up to 20 jobs and 4 vehicles with known time windows and a travel duration matrix. Prefer this over full VRP solvers when you only need a readiness/feasibility signal rather than a complete optimized route.
Side effects
- Invalid or missing required job fields (id, point, demand, service_s, window) returns a validation error
- Vehicle count exceeds maximum of 4 or job count exceeds maximum of 20
- Duration matrix dimensions do not match the number of stops/points
- Time window values exceed 604800 seconds (1 week)
- Demand exceeds vehicle capacity making consolidation infeasible
- Null values in duration matrix may indicate unreachable stop pairs
- Payment failure via x402 if USDC balance is insufficient on Base Mainnet
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| jobs | array | |
| vehicles | array | |
| durations_s | array | |
| matrix_source | string |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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