How to Build an AI Trading Agent with Swap API

AI trading agents executed over $44 billion in notional volume across prediction and DeFi markets in 2025, and agent capabilities are improving roughly fourfold year-over-year. This guide shows you how to build an ai trading agent crypto developers can actually deploy: an LLM-powered agent that takes natural language instructions, fetches real-time swap quotes from swapapi.dev, and returns executable transaction data -- all without API keys, paid tiers, or complex authentication flows. You will wire up OpenAI function calling (or Claude tool use) so your agent can autonomously quote and prepare token swaps across 46 EVM chains with a single GET request. What You Will Need Before writing any code, make sure you have these dependencies ready: Python 3.10+ with requests and openai (or anthropic) installed A wallet address on any supported EVM chain (for quoting -- no private key needed for quotes) An OpenAI or Anthropic API key for the LLM layer pip install openai requests web3 No swapapi