Trust Wallet's Agent Kit Lets AI Trade on 25+ Chains

Trust Wallet says its new Agent Kit can let AI agents execute real crypto actions across more than 25 chains, including swaps, transfers, DCA, and limit orders. That matters because the wallet already claims over 220 million users, which gives this launch a much larger audience than the usual developer demo.

The timing is interesting too. The company is pushing into a space that people now call agentic crypto, where software does more than read balances or summarize token charts. It can actually move funds, sign messages, and react to rules you set ahead of time.

What Trust Wallet actually shipped

Trust Wallet is a non-custodial wallet, so the pitch here is simple: let AI agents act with money without handing custody to a third party. The new kit comes in two modes. One gives the agent its own wallet with pre-set limits. The other connects to your existing Trust Wallet through WalletConnect, so the agent proposes transactions and you approve them.

That split matters because it separates full automation from user approval. If you want a bot to rebalance a portfolio every day, the autonomous mode makes sense. If you want an AI assistant that drafts trades but never signs on its own, the approval flow is the safer option.

Trust Wallet says the kit supports cross-chain swaps across 25+ networks, with coverage that spans Ethereum-style EVM chains, Solana, Bitcoin, Cosmos, TON, Aptos, Tron, NEAR, and Sui.

• 220 million-plus reported Trust Wallet users
• 25+ supported chains at launch
• Two operating modes: autonomous wallet and approval-based WalletConnect flow
• Built-in risk scoring, ENS resolution, message signing, and ERC-20 approvals
• Developer access through REST API, CLI, and MCP support

Why developers care

The developer angle is where this gets real. Trust Wallet is not asking teams to build custom signing logic from scratch. The company says developers can use a REST API, a CLI, and Model Context Protocol support to wire agents into existing workflows. It also mentions x402 micropayments, which could matter for metered APIs and pay-per-call agent services.

In practical terms, that means an AI assistant could watch a portfolio, trigger a swap when a threshold is hit, and send a notification after execution. It could also manage recurring buys, set alerts, or prepare approvals for a human to review. The whole point is to make the wallet an action layer, not just a storage app.

Trust Wallet also says agents can be launched in under 15 minutes with the right setup. For developers, that is the kind of claim that gets attention because it lowers the barrier from “interesting demo” to “something I can ship this week.”

• REST API for direct programmatic access
• CLI for local workflows and automation
• MCP support for AI toolchains
• Automatic wallet lock for server environments
• x402 support for charging per API call

Self-custody is the real selling point

The biggest difference between Trust Wallet and a lot of AI-wallet chatter is custody. The company keeps repeating its “your keys, your crypto” message, and that is the right angle. In crypto, the hard part is not making an agent smart enough to decide. It is making the agent useful without turning your funds into someone else’s problem.

Coinbase has also moved into this area with its own agentic wallet work, but Trust Wallet’s pitch is broader chain support and direct self-custody. That combination gives it a clearer identity. It is trying to be the wallet where an AI assistant can touch many networks while the user still controls the keys.

“Last week, AI got eyes on crypto. Today, it gets hands.”

That line came from Trust Wallet’s official X account and it captures the product well. The company is taking a familiar wallet model and adding action, but without asking users to give up ownership in the process.

There is also a security angle here that should not be ignored. Trust Wallet says the kit includes built-in token risk scoring and automatic wallet locking for server environments. Those details matter because an agent that can trade can also make expensive mistakes if the guardrails are weak.

How it compares with the rest of the market

Agentic crypto is getting crowded fast, but the implementations are still very different. Some products focus on a single chain or a narrow workflow. Trust Wallet is aiming wider, and the numbers show it.

Here is the comparison that jumps out:

• Trust Wallet Agent Kit: 25+ chains, self-custody first, autonomous and approval-based modes
• Coinbase agentic wallet efforts: tighter platform control, but less emphasis on broad multi-chain reach
• Trust Wallet’s reported 220 million-plus users give it a distribution advantage that most wallet startups do not have
• Developer setup looks lighter here, with API keys, CLI access, and MCP support instead of a more closed workflow

That does not mean Trust Wallet wins by default. It means the company has picked a practical wedge: broad chain support, familiar wallet UX, and a story that fits how developers already build AI tools. If agentic crypto keeps moving from novelty to actual utility, that combination could matter more than flashy demos.

There is also a business angle. A wallet that can charge per API call, support automated trading, and keep users in self-custody can attract both builders and power users. That is a useful position if the next wave of crypto apps is built around agents instead of human-only clicks.

What this means next

Trust Wallet’s Agent Kit is a clear signal that wallets are becoming action platforms, not just key vaults. If the integrations hold up in real use, the next step is easy to predict: more agents will handle routine crypto tasks while humans keep only the final approval for higher-risk actions.

The real question is whether users trust an AI enough to let it trade on their behalf across multiple chains. My guess is that the first winning use cases will be boring ones: recurring buys, scheduled swaps, and alert-driven execution. Those are the jobs where speed matters, the rules are simple, and the downside is easier to cap.

If you are a developer, this is probably the right moment to test the kit rather than wait for a polished consumer app. If you are a user, the takeaway is simpler: AI is moving from analysis into execution, and wallets are becoming the place where that shift becomes visible.