Uber provides APIs for ride estimation, trip management, and delivery services. AI agents can use Uber to estimate ride costs, request rides, and manage delivery workflows.
What AI agents can do with Uber
Structured actions an AI agent can execute through the Uber API
Action
Description
Inputs
Outputs
estimateRide
Get ride price and time estimates
start_latitude, start_longitude, end_latitude, end_longitude
estimates[], pickup_estimate
requestRide
Request a ride
product_id, start, end, fare_id
request_id, status, driver
getRideStatus
Check ride status
request_id
status, driver, vehicle, location
Use cases for Uber + AI agents
- Ride cost estimation
- Automated ride booking
- Trip status tracking
- Multi-modal transport planning
- Delivery dispatch automation
How to connect Uber to an AI agent
- 1Register a Uber developer app
- 2Get OAuth credentials
- 3Generate an AgentSpec for ride actions
- 4Publish for discovery
- 5Test in sandbox environment
Best practices
✓Always show estimates before requesting rides
✓Include reasoning docs about product types (UberX, Comfort, etc.)
✓Handle surge pricing notifications
✓Implement cancellation policies in actions
✓Use sandbox for testing — real requests cost money
Frequently asked questions
Can AI agents book Uber rides?+
Yes. Agents can estimate costs, request rides, and track status. Always show estimates and get user confirmation before booking — real rides have real costs.
How does Uber pricing work for agent-booked rides?+
Same as user-booked rides. Agents should always call estimateRide first and present the fare to the user before requesting. Handle surge pricing transparently.
Can agents track Uber rides in real-time?+
Yes. Use getRideStatus to poll for driver location, ETA, and trip status. Use webhooks for real-time updates in production.
More Maps & Transport APIs
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