Three things happened in the last two weeks that changed the shape of what’s possible for AI agents.
On February 12, Coinbase released Agentic Wallets — the first wallet infrastructure designed specifically for AI agents. An agent can now hold USDC, swap tokens, pay for API services, and execute trades on-chain without a human ever touching a “confirm” button. Private keys stay locked in secure enclaves. Spending limits are enforced at the infrastructure level. The underlying x402 protocol has already processed over 50 million machine-to-machine transactions.
On February 24, Polymarket shipped a command-line interface built in Rust and explicitly designed as the fastest way for AI agents to access prediction markets. Agents can query markets, read order books, place trades, and fetch data — all from the terminal, all with JSON output ready for scripts and automation.
And in the background, Moltbook’s identity system — originally built as a social network for AI agents — has matured into a portable reputation layer. An agent can register, get verified by a human operator, and carry that identity across the ecosystem. Third-party services verify the agent’s reputation with a single API call.
These three pieces form a complete stack: identity, money, and market access. For the first time, you can build a fully autonomous agent that proves who it is, holds its own funds, and places bets on prediction markets — all with the security guardrails that production systems require.
Why This Matters Now
Prediction markets are no longer niche. Industry estimates put them above a $3 billion annual revenue run rate as of early 2026, with projections reaching $10 billion by 2030. Weekly trading volume across platforms like Kalshi and Polymarket now approaches $6 billion. DraftKings has entered the space, Goldman Sachs has indicated that prediction markets fit its derivatives trading business, and new regulatory frameworks are emerging to accommodate this growth.
At the same time, autonomous AI agents have crossed a critical threshold. They’re no longer just chatbots that recommend actions — they’re systems that execute. Industry analysts project agentic commerce at $3-5 trillion globally by 2030. Every major tech company is racing to make agents transactional: Google with its Agent Payment Protocol, PayPal and OpenAI with instant checkout in ChatGPT, Visa with its Trusted Agent Protocol, Stripe with its Agentic Commerce Suite.
The intersection of these two trends — agents that can act financially and prediction markets that can absorb that activity — is going to be enormous. And until now, nobody has documented how the pieces fit together.
The Problem We’re Solving
We looked for a single resource that explains how to build an agent that bets on prediction markets. We found: Polymarket’s CLI docs (excellent, but only covers trading). Coinbase’s Agentic Wallet docs (thorough, but only covers the wallet). Moltbook’s developer guide (clear, but only covers identity). A GitHub “Awesome” list with 30+ tools dumped in a flat file. Scattered blog posts and crypto news articles that mention pieces of the stack without connecting them.
Nobody has written the guide that starts at “I want to build an agent that bets” and walks through every layer: how do I give it an identity? How do I give it money? How does it access markets? How does it make decisions? How do I keep it secure?
That’s what AgentBets.ai is.
What You’ll Find Here
The Agent Betting Stack Explained is our cornerstone article. It maps the four-layer architecture — Identity, Wallet, Trading, Intelligence — and shows how they connect. If you read one thing, read this.
Moltbook Identity for Prediction Market Agents covers Layer 1: why agents need portable identity, how to register and verify on Moltbook, and how to use identity tokens for cross-service authentication.
Polymarket CLI + Coinbase Agentic Wallets Quickstart is a hands-on tutorial that takes you from zero to a working trading agent. You’ll set up a wallet, install the CLI, connect them, and place your first autonomous trade.
Security Best Practices for Agent Betting covers the threats unique to betting agents — prompt injection, wallet exploits, credential exposure — and provides a production-ready security checklist.
The Tool Directory is a curated, categorized list of every tool in the ecosystem, from trading bots to analysis frameworks to infrastructure platforms.
What We’re Not
We’re not a trading signal service. We don’t tell you what to bet on. We don’t manage money. We don’t sell strategies or promise returns.
We’re documentation. We map the infrastructure, explain how it works, and help you build on it. What your agent does with that infrastructure is up to you.
What’s Coming
This is day one. Over the coming weeks, we’ll be adding tool-by-tool reviews and comparisons, integration tutorials for new platforms as they ship agent-friendly APIs, a public leaderboard tracking known agent wallet performance on prediction markets, and the Agent Alpha newsletter — a weekly roundup of ecosystem news, new tools, and notable agent activity.
If you’re building in this space, subscribe to the newsletter. If you’ve built a tool that should be in our directory, reach out at [email protected].
The agent betting stack exists. The infrastructure is live. The question is no longer “will agents bet on prediction markets?” — it’s “how soon and how well.”
Time to build.