Forsy provides data infrastructure to capture real agent workflows in real time, offering full coverage from everyday tasks to specialized domains. It enables teams to license and sell authentic agent data, turning AI agents into strategic assets for building more capable and reliable systems.
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How to use Forsy?
Forsy integrates with your existing AI agents to natively capture their workflows in real time, without reconstruction. You can monitor tasks across domains, discover high-fidelity data, and participate in a marketplace where authentic agent data is licensed and sold, helping teams build more capable and reliable agents.
Forsy 's Core Features
Native Capture: Tracks agent workflows in real time as they work, never reconstructed afterward, ensuring authentic data.
Full Coverage: Captures data from everyday tasks to specialized workflows across every domain, providing comprehensive insights.
Trade Agent Data: A marketplace where authentic data is discovered, licensed, and sold, turning agent workflows into strategic assets.
High Fidelity: Purpose-built for teams building more capable and reliable agents, with high-quality data for better outcomes.
Works Everywhere: Compatible with the agents you already use, offering a single engine for workflow data across your entire agent stack.
Forsy 's Use Cases
AI developers can use Forsy to capture real-time workflow data for training more reliable and capable agents.
Data scientists can analyze captured workflows to identify inefficiencies and improve agent performance across domains.
Enterprises can license and sell their agent data, creating new revenue streams from AI operations.
Product managers can leverage high-fidelity data to refine agent behaviors and enhance user experiences.
Researchers can access authentic workflow data to study AI agent interactions and develop better algorithms.
