MoonPay on Monday launched “Open Wallet Standard,” the latest addition to the fintech firm’s AI-native infrastructure that gives agents more direct, programmable access to the financial layer.

The US firm last month launched "MoonPay Agents," a non-custodial software layer that enables AI agents to transact autonomously using MoonPay's command-line interface. MoonPay in March announced native ‘Ledger Signer’ support for MoonPay Agents.

"The agent economy has payment rails. It didn't have a wallet standard. We built one, open-sourced it, and now the full stack exists," said Ivan Wright, chief executive and co-founder of MoonPay.

MoonPay said the latest feature grew directly out the development of its MoonPay Agents. “In building that infrastructure, we hit the same problem facing every agent framework in the space: there is no shared standard for how AI agents interact with wallets.”

A wallet created for one agent cannot be used by another and private keys ended up in environment variables without portability and shared security model, the crypto technology firm said.

“We took the wallet infrastructure behind MoonPay Agents, generalised it across chains and runtimes, and released it under an MIT open-source license. That is the Open Wallet Standard.”

“The standard is not competing with existing protocols. It makes them more valuable. Any protocol that requires a signed transaction now has a common wallet to call. Any tool or agent that supports the standard can access the same wallet with the same funds, just as multiple apps on your phone can access the same bank account,” MoonPay explained.

Meanwhile, Cayman Islands-based trading venue Toobit in March launched an AI-powered position analysis tool that transforms raw market data into actionable intelligence, that supports futures trading.

Also, US-based digital asset exchange Stovex Global in March said it would invest $5 million (£3.73 million) in Casder Institute to support testing and global promotional deployment of the “Casder Vanguard AI 5.0” trading system within real market environments.