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.
Built like finance infrastructure, not a chatbot
Most agent platforms give an AI a prompt and a set of tools, then connect it to your money. That works for a demo. It fails in production, because nobody can say exactly what will run with your capital, prove what changed, or roll it back when something is wrong. EarnClaw is built differently: every agent you deploy runs a versioned, tested strategy release with limits enforced outside the agent itself.
You know exactly what is running
Every deployed agent runs a specific, versioned strategy release. Upgrades are tracked, verified, and reversible. No silent changes to the logic that touches your money.
The agent decides, the rules protect
Your agent analyzes markets and makes the strategy calls. Execution passes through a separate control layer that enforces your limits: spending caps, allowed venues, and safety checks before every transaction. The agent never gets a blank check.
Tested before it trades
Strategies are validated against real market scenarios before they can be deployed. When a strategy changes, it is tested again before it goes live. Nothing reaches your capital untested.
A track record you can trust
Agent performance is recorded per strategy release: what it did, what it skipped, and what the safety rules blocked. Because the strategy is versioned, the track record means something.
This is what it takes to run agents with real money. We built it first.
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.