Forsy captures workflow data from the agents you already use — OpenClaw, Claude, Codex, Hermes — and turns it into structured, sellable data, with licensing and privacy built in. The pitch: real agent workflows are valuable training data, and you should be able to monetize yours.
## How it works
Forsy tracks workflow data in real time as agents work, never reconstructed afterward — so the data captures the actual decision trajectory, not a lossy summary. It then provides a marketplace where authentic, high-fidelity workflow data is discovered, licensed, and sold.
## The thesis: an agent data economy
The bet behind Forsy is that the next bottleneck for capable agents isn’t model size, it’s data — specifically, real records of agents and the humans steering them completing real tasks. That data is fuel for RL training of more capable future agents. Public web data is largely consumed; authentic agent-workflow data is the new scarce, renewable resource. Forsy is building the infrastructure to capture, license, and trade it.
## Why it matters
If agent trajectories become the premium training data of the next cycle, a marketplace that lets data producers get paid is an obvious missing layer. Forsy is an early bet that the people generating valuable agent data — not just the labs — should capture some of its value.

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