Trust Wallet Moves Beyond Storage, Launching Crypto Trading AI Agents Across 25+ Blockchains

 

By James Ademuyiwa // March 27, 2026 @ 12:38 PM
Trust Wallet Moves Beyond Storage, Launching Crypto Trading AI Agents Across 25+ Blockchains

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Points of Focus

  • Trust Wallet has launched an AI trading toolkit for its users, enabling agents to swap and trade across 25+ blockchains.
  • Trust Wallet’s planned agent marketplace to let developers publish reusable strategies into the app. 
  • CEO Felix Fan explicitly acknowledges the core risk, agents acting on funds in ways users did not intend.

 

Trust Wallet has spent eight years as a place to store crypto. Starting this week, it wants to trade it for you.

 

 

The Bahrain-based self-custody wallet, owned by Binance’s CZ and used by 220 million people globally, has launched a toolkit that lets AI agents swap and trade crypto across more than 25 blockchains. It is one of the most significant expansions of AI trading infrastructure to retail wallets yet attempted, and it arrives as Binance, Bybit and Coinbase are all racing to own the same space.

 

Two modes and one key difference

Trust Wallet’s toolkit ships with two operating modes. The first creates a separate wallet for AI-driven activity, where users set rules in advance, spending limits, permitted actions, risk parameters. Furthermore, the agent operates within them without asking for approval each time.

 

The second mode is what Trust Wallet says no competitor currently offers: connecting an AI agent directly to a user’s existing wallet. Here’s how it works. The agent proposes a transaction, the user approves or rejects it. Most importantly, no new wallet is required. 

 

One new direction for 200 million users

Felix Fan, Trust Wallet’s newly appointed CEO and former OKX product director, describes the goal clearly. Rather than navigating swaps, staking screens and order settings, users should be able to say what they want done and have the software handle the mechanics.

 

The toolkit supports Ethereum-compatible chains alongside Solana, Bitcoin, TON, Tron, NEAR and Sui. Built-in functions include swaps, limit orders, automations, portfolio tracking and risk scoring. Last week, Trust Wallet also opened a developer portal giving AI systems read-only access to crypto data across more than 100 blockchains, including price feeds, token details and risk signals.

 

From losses to near break-even

Trust Wallet’s business context matters here. The company grew its user base from 40 million to 220 million over three years while turning around annual losses of roughly $10 million to near break-even in 2025. The AI toolkit is not just a product feature, it is the revenue thesis. Fan plans to launch an agent marketplace where developers publish reusable strategies and trading bots for users to deploy directly inside the app.

 

 

Developers can now build directly on Trust Wallet’s infrastructure. Equally, users can safely grant agents bounded authority over their funds. Together, this positions Trust Wallet as the consumer layer for agentic wealth management. That makes it no longer just a wallet, but the interface where intelligent software executes, monitors, and continuously refines portfolios in real time. 

 

However, Trust Wallet suffered a recent hack that put some questions on these claims. In December 2025, an attacker broke into the system and stole up to $8.5m in customer’s funds. The attack affected 2,520 customer wallets and was carried out specifically on Trust Wallet’s chrome browser extension version 2.68.

 

Risk acknowledged

The risk that comes with using the tool is that agents could act on funds in ways users did not intend. Interestingly, the same risk runs through every AI trading tool launched this month. Binance AI Pro, Bybit’s orchestration hub and Coinbase’s agentic wallets all carry it. 

 

Trust Wallet’s approach requires explicit user approval for transactions on existing wallets, making it one of the more conservative guardrails in the current field. However, one could argue that even explicit approvals may not be enough to protect users from common AI problems such as hallucinations and prompt manipulation.

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James Ademuyiwa

James Ademuyiwa is a DeFi strategist, educator, and PhD researcher specializing in decentralized finance. With hands-on experience leading blockchain initiatives at major firms and co-founding a successful startup, he brings sharp market insight to digital asset education. He currently lectures on blockchain, digital assets, and the future of finance for global executive education programs, bridging theory and practice in the Web3 landscape.

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