xpander.ai is a backend-as-a-service (BaaS) platform for AI agents. It provides the infrastructure, APIs, and tools needed to build, run, and scale AI agents across real-world use cases, as well as a consolidated platform for managing and governing agents across the entire organization.

The Free and Pay-as-you-go plans are great for getting started or experimenting. Choose the Team plan for production use with higher limits and governance. Custom plans are best for large-scale or enterprise deployments.

For direct billing through the xpander.ai platform, we use Stripe for billing, so we support all major payment methods available in your region. We are also available for payment through the AWS Marketplace. Or, you can contact us for custom packages and billing methods.

Serverless Agents represent how many serveless AI agents can run at the same time in your account. More Serverless Agents = more concurrency. Serverless Agents affect how many agents you can run simultaneously, not how powerful each agent is.

Agent Containers represent how many dedicated-container AI agents you have.

Threads represent amount of conversations

Our pay-as-you-go plan automatically charge charge for actions and interaction.
10$ per 100K actions
10$ per 200K interactions

Yes, xpander.ai supports bring-your-own-model setups in all tiers.

You get access to all core features, 50+ AI tools, 5 Serverless agents with 100 interactions and 100 actions per month.

No hard limit. You can create as many agents as you want; your usage is defined by your available Serverless Agents and Agent Containers, interactions, and actions. For large scale deployments, contact us for custom plans.

When you first login to your new xpander.ai account, there’s a default AI Agent that you can use to experiment with. This agent is utilizing one Serverless Agent in your account. You can delete it if you wish.

Every tool call / function call that the agent performs is counted as an Action.

Large API responses can be hard for AI to process. That’s why we built Agentic RAG—it lets the AI Agent search within API responses efficiently.