Build an AI agent that can trigger EVM swaps safely
The right architecture is simple: the model decides what to do, your backend validates it, Swapifie returns the quote and transaction payload, and the user or wallet layer still controls final execution.
Use the model to decide intent and parameters, not to sign transactions.
Keep API keys on your server and expose only approved workflows to the agent.
Require an explicit confirmation step before assembly or wallet execution.
Persist quote metadata so you can audit what the agent suggested and what the user accepted.
1. The agent receives a request like swap 0.01 ETH to USDC on Base.
2. Your orchestration layer converts that intent into a validated quote payload.
3. Swapifie returns a quote and path ID from /api/v1/quote.
4. After confirmation, your backend calls /api/v1/assemble and forwards the transaction payload to the wallet execution layer.
It lets an agent move from analysis into action without turning the language model into a custody system, a signer, or an unsafe policy engine.
AI copilots inside dashboards, Telegram assistants, internal trading tools, and portfolio agents with constrained permissions are usually the cleanest first launches.