About EarnClaw
Built from real agent operations, now designed to scale autonomous finance agents
Jeff started running some of the earliest live operations for autonomous finance agents before OpenClaw and other frameworks became mainstream. EarnClaw turns those production lessons into a practical operating system for agents that execute workflows end to end, not just chat responses.
Founder journey
The CEO of Finance Agents
From the first autonomous agent running a DeFi protocol to an operating model for every finance agent
Jeff launched this history in Q4 2025 and learned in production by running agent-led protocol workflows end to end. EarnClaw translates that hands-on experience into reusable agent templates, governance controls, and execution lanes so autonomous finance agents can operate with CEO-level discipline.
Our market thesis
We believe finance is moving to agentic-first workflows. Our working thesis is that up to 80% of day-to-day finance operations across traditional finance, capital markets, crypto, and onchain activity may be agent-managed over the next 5-10 years. EarnClaw is built to help autonomous finance agents prepare for that shift with governance, controls, and operational reliability.
What we support
Model-agnostic orchestration, ready-to-use skills, and template-first deployment flows so autonomous finance agents can run governed execution.
How we run
Hosted on strong infrastructure providers with production monitoring, policy gating, and controls to reduce instability at execution time.
Ecosystem strategy
We partner across protocols, command-line rails, and skill ecosystems so agents can operate with broad finance coverage and real utility.
Why we built EarnClaw
The core problem was never just deployment. It was trust, orientation, policy, and operational repeatability for autonomous agents in live finance conditions. EarnClaw exists to make that operational layer simple, auditable, and ready to scale.