The Proactive Agent Research Environment (Pare) models applications as finite state machines rather than flat APIs. This approach simulates stateful, sequential user interactions to better evaluate autonomous assistants. It provides a realistic testing ground for agents that must anticipate needs. Developers can now validate proactive behaviors without relying on static tool-calling benchmarks.