Route Optimization API
Solve TSP and vehicle routing problems for up to 25 stops
Solve the traveling salesman problem for up to 25 stops.
How it works
Send your stops
Pass up to 25 waypoints with optional time windows.
Plaza optimizes
TSP/VRP solver on the full road network.
Get optimal order
Reordered stops with total distance and duration.
See it in action
A real API request, visualized.
Who uses this
Teams building with Route Optimization API.
Last-mile delivery
Optimize delivery routes for drivers with time windows.
Field service
Schedule technician visits in the most efficient order.
Food delivery
Batch and optimize multi-pickup restaurant orders.
25
Max stops
TSP + VRP
Problem types
What you can build
Example apps powered by Route Optimization API.
Delivery Router
Optimize stop order for a fleet of delivery drivers.
Field Service Scheduler
Plan technician routes with time window constraints.
Sales Territory Planner
Optimize travel between client meetings across a region.
Start building
curl -X POST "https://plaza.fyi/api/v1/optimize" \
-H "Content-Type: application/json" \
-d '{
"waypoints": [
{"lat": 40.7128, "lng": -74.006},
{"lat": 40.758, "lng": -73.9855},
{"lat": 40.7484, "lng": -73.9857}
],
"mode": "driving"
}'
View endpoints
| Method | Path | Description |
|---|---|---|
| POST | /api/v1/optimize | Submit a route optimization job (TSP/VRP) |
| GET | /api/v1/optimize/:job_id | Poll async optimization job status |
How it compares
Common questions
What's the difference between TSP and VRP?
TSP finds the shortest route visiting all stops once. VRP adds real-world constraints: vehicle capacity, delivery time windows, and multiple vehicles. Plaza handles both.
How long do optimization requests take?
Small jobs (under 10 stops) return in seconds. Larger jobs run asynchronously — submit via POST, then poll the job_id endpoint for results.
Can I set time windows for deliveries?
Yes. Each waypoint accepts optional time window constraints (earliest and latest arrival). The solver respects these when computing the optimal stop order.