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2025: The Year of Agentic DeFi
If you're running a protocol or any kind of DeFi service, here's what you need to start thinking about now to make it 'agent-ready'. I strongly believe the majority of on-chain activity will soon come from AI Agents.
> Documentation & API Architecture
Are your docs optimized for agents?
Your documentation needs to serve both human and AI audiences.
- Consider using structured data formats like JSON or XML for easier parsing by AI systems.
- Implement OpenAPI/Swagger specifications for all endpoints
- Structure response data in consistent JSON formats with clear schemas
- Provide comprehensive error codes and handling documentation
- Include code examples in multiple languages (Python, TS, Rust, LOLCODE heh)
- Implement the Díataxis framework to cover every possible step in the developer’s journey
Are your APIs ready for the increased amount of 'intelligent' bots?
Make sure these are robust, well-documented, and designed for high-frequency interactions:
- Maybe think of stateless endpoints that support high-frequency trading
- Or websocket connections for real-time updates
- Create batch processing endpoints to handle multiple operations
- Design clear rate-limiting policies that scale with user reputation
If open source, do you have a well-documented codebase?
Ensure your code comments and README files are comprehensive. Give these systems as much context as possible.
> Frontend and Contract Interaction:
Does your frontend give enough context for the used contracts?
Think about how an agent would interpret the reasoning behind decisions or evaluations.
Is your frontend accessible programmatically?
This might mean providing new APIs or webhooks for agent interaction.
> Smart Contract Design:
Are your smart contracts designed with AI interaction in mind?
They should be easily interpretable, possibly with clear function names and comments explaining logic.
> Governance and Decision-Making:
Is there a mechanism for AI agents to engage in governance or decision-making processes?
Think about AI voting on proposals or influencing policy through data analysis.
> Security Concerns:
Have you considered security implications
AI Agents can lead to new attack vectors. Implement safeguards like the already mentioned rate limiting or anomaly detection.
Adapting to this new paradigm isn't just about being technologically ready; it's also about rethinking user experience, security protocols, and even the ethics of AI in finance:
> UX for AI:
How will your platform's interface support both human and AI decision-making? Perhaps you need interfaces that allow humans to oversee AI actions or intervene when necessary.
> Agent Integration Features
These agents will need their own journey. Maybe think of the following to be ready:
- Provide real-time transaction monitoring endpoints
- Implement webhooks for important protocol events
- Create detailed transaction logs with machine-parseable metadata
- Build analytics endpoints for historical performance data
The future of DeFi will be shaped by how well these services can integrate with and be managed by AI agents. Don't get left behind once the next iteration of agents is unleashed.
Questions for You:
> How is your project/protocol preparing for this shift?
> What challenges do you foresee in adapting to AI agent dominance in DeFi?
So, what exactly do you need to do?
IMO, you should at least:
> Review your documentation for machine readability.
> Consider a workshop or session on AI Agents
> Engage with the community as much as you can.
> Learn the concepts of the different AI agents, as it’s very likely they’ll be the users of your project/protocol very, very soon.
And last, but not least:
> Create sandbox environments for agent testing. 🤖
Accelerate.
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