Archal: AI Agent Testing with Stateful API Sandboxes

Archal is developing stateful API sandboxes to test AI agents and integrations before they go live. These sandboxes let developers check how software behaves against realistic services. This means no need for live test accounts or dealing with production rate limits. Archal's environments act like the APIs they simulate but are isolated, resettable, and safe for repeated use. A sandbox can hold multiple environments for integration tests and quality assurance. State persists between calls, and environments can reset in milliseconds. This allows developers to test connectors and agents against simulated services with realistic state and workflows, rather than just thin mocks. What's interesting is the ability to proxy the sandbox, so an AI agent can't tell the difference between the simulated environment and a real API. This product addresses a common problem where workflows might look good in a demo but fail with real-world issues like authentication or changing states. Archal's website lists environments for various services, and the company says setup takes less than two minutes, with compatibility for coding agents like Codex and Claude Code. This matters because it offers a practical way to ensure AI agents and integrations work reliably in real-world scenarios.