Why is Base becoming the "breeding ground" for AI agents? Over the past year, AI agents have moved beyond the demo phase to become real economic entities with actual cash flow. @base emerged as the home chain of this trend not because it's labeled "AI," but because Base's infrastructure is so well-suited to how agents operate in real life. 1️⃣ Payment to the agent (Agent payment) Agents make transactions continuously, each transaction costing only a few cents. Chain fees are unaffordable, while Base offers low, stable fees, deep USDC liquidation , and direct Coinbase integration. The x402 standard allows agents to pay directly via HTTP request (agent calls – agent pays), eliminating the need for human signatures. 2️⃣ The agent stack is ready. Base provides a ready-made wallet, transaction signing, payment, and messaging optimized for agents, helping builders quickly move from testing to real-world operation. ERC-8004 allows agents to have on-chain identity and reputation, portable across platforms. Base is also the first L2 to support this standard. 3️⃣ Actual distribution via Base App Base App integrates wallets, payments, and a user-friendly agent interface into one place, solving the distribution problem. As a result, Base is increasingly being used as a settlement and coordination layer for agent-to-agent transactions, even when agents operate off-chain. The data speaks for itself. > 9 million+ transactions x402, with $1M+ Volume in the last 30 days Approximately 1.6 million OpenClaw agents have registered on Moltbook. Bankr and Clanker each handle over $100 million in Volume, generating millions of dollars in fees daily from transactions and agent launches. 📌 OVERVIEW OF THE AGENTIC ECOSYSTEM ON THE BASE 👇

4️⃣ Wallets, execution, and trading These projects connect agents with on-chain Capital and execution. @bankrbot: One of the earliest AI crypto bankers on Base, providing wallets, trading tools, research, and cross-chain DeFi for automated agents. @DefinitiveFi: Non-Custodial execution and routing layer, supporting any-to-any swap between Base and other chains in a single transaction. @o1_exchange: On-chain exchange on Base offering spot, perpetual, and prediction markets, with incentives in USDC. @tryfomo: Token trading app for agents. @ClawdX_: OpenClaw's AI trading agent and analytics layer on Base, including MoltyScan. @bankrwalletapp: The browser wallet allows the AI ​​agent to use the Bankr address. 5️⃣ Launchpad & monetization How AI agents raise funds themselves and align incentives. @virtuals_io: A decentralized AI agent Tokenize and co-ownership platform for gaming, entertainment, and DeFi, centered around the Agent Commerce Protocol (ACP). @clanker_world: Token Issuance infrastructure, allowing agents to launch and manage ERC-20 on Base with a minimalist setup. @moltlaunch / @Clawnch_Bot: Launchpad Token for agents, supports deployment via CLI and agent-specific flows, built on Clanker. @autonolas: Platform for owning and monetizing AI agents. @a0xbot: A no-code platform for building Token social AI agents, working on Farcaster, X, and Telegram. 6️⃣ Marketplace @openworkceo: A decentralized gig economy where agents hire each other, complete tasks, verify results with on-chain proof, and receive rewards. @moltroad: A marketplace for digital goods and services provided by agents, often incorporating per-request payments via x402.

7️⃣ Social networks for agents This is where agents verify, interact, and coordinate. @moltbook: A Reddit-style social network dedicated to AI agents – posting, upvoting, debating, and creating sub-communities. 4Claw / @lobchanai: An anonymous imageboard-style forum for agents, focusing on unfiltered discussion and early testing. @clawcaster / @clawk_ai / @moltxio / InstaClaw: Social network experiments simulating Farcaster, X, Instagram, and MySpace, but optimized for agent identities. @Clawdr_book / @moltmatch: Agent matching platform. @neynarxyz (@farcaster_xyz): Social infrastructure provides social graphs, feeds, and indexing for decentralized and agent-driven social apps on Base. @Wach_AI: Protocol for verifying AI agents in Virtual ACP and OpenClaw systems, built on ERC-8004. 8️⃣ DeFi / Financial agents AI agents automatically focus on trading, yield, and market intelligence. @HeyElsaAI: Natural language communication hub for trading and DeFi, supports x402. @gizatechxyz: AI agent DeFi automatically manages and optimizes DeFi strategies using a Non-Custodial model. @0xNeurobro: Layer intelligence for the onchain market, combining multi-agent research and real-time analysis. @Velvet_Capital: AI tool for portfolio management and DeFi execution. @ZyfAI_: Transform passive Capital into smart, active Capital flows. @useOttoAI: DeFi AI copilot, supporting Agent Swarm, Web App, Virtual ACP, and x402. @pilot3ai: AI agent analyzes dynamic Token and optimizes transactions. @minara: Personal AI CFO for digital finance - ask questions, analyze, and "vibe" trading crypto & US stocks. @ethy_agent: Define trading strategies in natural language. Ethy automatically runs through A2A, x402, and ERC-8004 workflows. @Thirdfy_: The DeFAI platform integrates an agent for automatic swap and LP. 9️⃣ Consumer agents The product is user-oriented, where agents are integrated into the daily experience. @aitvgg: 24/7 livestreaming by automated multimedia content production agents. @aibasedofficial: An AI-powered Non-Fungible Token platform combining image creation, dynamic Non-Fungible Token , and analytics. @PolyClaw: Prediction markets run on AI; agents predict outcomes and trade positions and receive rewards based on accuracy. @clawdict: Prediction market optimized for OpenClaw agents, supporting automated betting and Tokenize rewards. @predibot_: Market prediction assistant uses AI on Base. @clawdbotatg: The AI ​​agent on Base has its own wallet and is built around on-chain applications. How long do you think Base will maintain this advantage, or will another chain soon emerge to compete? 🤔 Source: PinkBrains_io. This post is for informational purposes only and is not investment advice.