AIsa Sponsors Claws Out at ETHDenver 2026

At ETHDenver 2026, more than 25,000 builders gathered in Denver to explore what's next for crypto and AI.

This year, the shift was clear: AI agents are moving from experimental demos to real economic actors.

We were proud to sponsor Claws Out: AI Agent Demo Day & Clawards, alongside AI infrastructure teams including OpenRouter, Nebius, and Cline. The two-day event, centered around the OpenClaw ecosystem, brought together more than 3,000 developers showcasing autonomous agents built for real-world execution.

What stood out wasn't just the turnout. It was the maturity of what was being built.

Agents are no longer passive assistants. They call tools, orchestrate workflows, retrieve data, and coordinate across services. Increasingly, they operate with autonomy.

And autonomy changes everything.

The Rise of OpenClaw

OpenClaw — founded by Peter Steinberger — has quickly become one of the fastest-growing open-source AI agent frameworks on GitHub. It lowers the barrier to building agents that reason, act, and execute.

As the project transitions toward an independent foundation model, it reinforces a broader trend: the foundations of the agent economy are being built in the open.

We've supported OpenClaw as a GitHub community sponsor and contributor during its growth. From early on, it was clear that if agents were going to move beyond experimentation, they would need infrastructure that extends beyond intelligence.

Intelligence Alone Isn't Enough

Because intelligence alone isn't enough.

Across many of the demos, a familiar pattern appeared. Agents were:

• Calling premium models
• Accessing paid APIs
• Unlocking proprietary datasets
• Triggering multi-step workflows

But when value exchange entered the picture, the system became fragile.

Traditional payment networks were built for human checkout flows. They are not designed for autonomous, high-frequency, machine-to-machine transactions.

This is not an incremental problem. It's structural.

What Autonomous Agents Need

If agents are going to operate independently, they must be able to:

• Transact programmatically
• Settle micropayments instantly
• Enforce economic logic automatically
• Coordinate value without manual oversight

Without this capability, autonomy stops short of participation in real markets.

AIsa's Role

At AIsa, our focus is straightforward: enabling economic coordination between autonomous systems.

If an agent can reason but cannot pay, it cannot fully act.

Our infrastructure is designed to make agent-to-agent transactions native and programmable. It includes:

• A unified model gateway for LLM aggregation
• AgentPayWall-402 for programmable access control
• AIsaNet for micropayment clearing
• Automated treasury infrastructure for billing and settlement

Much of this stack is built on the open x402 protocol, introduced to establish internet-native payment standards.

The objective is simple: allow AI agents to access intelligence, unlock services, and settle value autonomously.

Infrastructure Credits at Claws Out

At Claws Out, we provided infrastructure credits to participating teams so they could integrate pay-per-call model usage, monetize agent skills, and automate billing directly within their projects.

Because if agents are going to participate in economic systems, they need economic rails designed for them.

What Comes Next

The intelligence layer is advancing rapidly. Agents can plan, reason, and execute. What's emerging now is the need for a native economic layer that matches that capability.

We are beginning to see software systems that:

• Discover services
• Compare costs
• Trigger actions
• Optimize outcomes

The next step is seamless, autonomous settlement.

That shift — from intelligent behavior to economic agency — will define the next phase of infrastructure.

Sponsoring Claws Out was about aligning with that shift. The builders are ready. The frameworks are maturing. The experimentation is happening in the open.

Now the economic layer must catch up.

That's the work we're focused on.