About usModelRover

Connect to models.Make room to build.

ModelRover is an AI model API platform for developers. Access different models through a unified API and manage your keys, usage, and costs in one place.

For independent developers and product teams

  • OpenAI-compatible API
  • Usage-based billing
  • Keys and request logs

01 / Who we are

We focus on model access. You focus on your product.

ModelRover focuses on AI model access and management. We sit between applications and model services, bringing different providers into one platform and handling requests, keys, and usage-based billing so developers have less integration work to repeat.

The idea behind the platform is simple: trying a new model shouldn't mean starting an integration from scratch, and running an application shouldn't mean guessing its costs. We want model selection, everyday use, and troubleshooting to be clearer, leaving more time for the product itself.

Model capabilities come from their respective providers. You can review how billing works and which request data is retained before integrating.

The company behind the platform

MODROVER AI INC

The legal entity operating ModelRover.
Company number
2026-002047295
Jurisdiction of incorporation
Wyoming, United States
Registered address
312 W 2nd St, Casper, WY 82601, United States

02 / Contact & community

Let's talk.

An integration question, product feedback, or an idea for working together. Find the right place to reach us.

A question about your account or a payment?

Send a ticket while signed in so we can follow up on your account. If you cannot sign in, use a published contact below.
Visit the help center

Please don't share API keys, passwords, or other sensitive details in emails or public channels.

03 / What matters to us

Get the basics right.

Document the integration

Start with supported protocols, parameter differences, and working examples. Compatible doesn't mean identical.

Read the docs

Know the price first

Check capabilities and pricing on each model's page before deciding whether it's right for your project.

Explore models & pricing

Make issues traceable

Use request IDs, statuses, and usage from your logs to investigate issues and give feedback with context.

Explore troubleshooting

Rather try it yourself?

Start with one API call