MoonPay has introduced an open-source wallet standard built specifically for AI agents, laying a crucial piece of infrastructure for connecting artificial intelligence with the crypto economy.
The new framework, called the Open Wallet Standard (OWS), is designed to let autonomous AI systems hold, manage, and move digital assets across multiple blockchains in a unified and secure way. Instead of every developer hacking together a custom solution for keys, wallets, and payments, OWS proposes a common set of rules and interfaces that any AI agent can use.
MoonPay developed the standard with input and contributions from some of the most influential players in the industry, including PayPal, the Ethereum Foundation, the Solana Foundation, Ripple, OKX, Tron, TON Foundation, and Base, among others. That breadth of support signals a serious attempt to create a broadly accepted foundation rather than yet another isolated standard.
“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 MoonPay co-founder and CEO Ivan Soto-Wright. In other words, it has become relatively straightforward for AI models to call APIs and trigger on-chain actions, but there has been no shared, secure way for those agents to actually hold and control funds themselves. OWS is intended to fill that gap.
What problem is MoonPay trying to solve?
Until now, developers building AI agents that touch crypto have had to juggle fragmented tools: separate wallet libraries for each chain, different key formats, and inconsistent security assumptions. Managing private keys, signing transactions, and handling multi-chain operations becomes complex and brittle at scale.
This fragmentation is especially problematic for autonomous agents that are expected to operate continuously, handle money, and interact with many protocols. Mistakes in wallet implementation are not just bugs-they can mean permanent loss of funds. MoonPay’s Open Wallet Standard tries to standardize how agents interact with wallets, keys, and networks so these critical components are no longer reinvented from scratch each time.
By introducing a common standard, MoonPay aims to:
– Unify wallet and key management across multiple blockchains
– Reduce security risks arising from ad-hoc implementations
– Make it easier for developers to plug AI agents into DeFi, NFTs, and on-chain services
– Enable interoperable tooling so different AI systems and services can speak a common “wallet language”
How the Open Wallet Standard fits into the AI-agent stack
AI agents are rapidly evolving from passive chatbots into autonomous entities that can plan, act, and transact. They can already call APIs, schedule tasks, or interact with apps. But for an AI to participate fully in an on-chain economy-pay fees, buy services, manage subscriptions, or rebalance portfolios-it needs reliable access to a wallet.
OWS is designed as the wallet layer in this emerging stack. At the top, you have AI models and agent frameworks deciding what to do. Beneath that, orchestration tools translate intentions into actions. OWS then provides the secure wallet interface to actually execute those actions on-chain: holding keys, signing transactions, and routing them to the appropriate blockchain.
By being open-source, the standard invites both scrutiny and contribution. Anyone can inspect the design, integrate it into their own systems, and propose improvements. This is important for trust: if AI agents are to manage real money, developers and users need transparency into how those funds are controlled.
Multi-chain by design
A central feature of the Open Wallet Standard is native support for multiple blockchains. Rather than optimizing for a single ecosystem, OWS is meant to work across major networks from day one, reflecting how the crypto space actually operates.
The involvement of contributors tied to different chains-like the Ethereum and Solana foundations, Ripple, Tron, and TON Foundation-underscores this multi-chain orientation. It suggests that the standard is being shaped to accommodate varied account models, fee structures, and transaction formats, rather than forcing everything into a one-size-fits-all paradigm.
For AI agents, multi-chain support is not a luxury; it is essential. An agent might need to:
– Pay for compute on one chain
– Hold stablecoins or yield-bearing assets on another
– Interact with NFT markets elsewhere
– Bridge assets between ecosystems as needed
A consistent wallet interface across all of that reduces complexity and lowers the barrier for developers to build agents that are genuinely chain-agnostic.
Security and key management for autonomous systems
Letting AI agents handle money raises immediate questions about security. OWS is explicitly focused on wallet and key management, which are the most sensitive parts of the stack.
While specific implementation details will vary, a standard like OWS typically considers:
– How and where private keys are stored (e.g., hardware, secure enclaves, or encrypted modules)
– How access control is enforced for agents that may be running in distributed or cloud environments
– How to support different custody models, from fully non-custodial to shared or delegated control
– How to log and audit actions taken by agents for compliance, monitoring, and rollback strategies
A well-defined wallet standard does not automatically eliminate risk, but it can concentrate expert scrutiny on a single, widely used specification instead of dozens of bespoke systems. That in turn can raise the overall security baseline for AI-driven financial operations.
Why this matters for the “agent economy”
The idea of an “agent economy” revolves around autonomous software entities that can earn, spend, coordinate, and contract with one another. For that vision to move beyond theory, these agents need native access to value transfer-essentially, digital money they can actually control.
Payment rails already exist in the form of APIs and on-chain protocols, but without a robust wallet layer, AI agents either rely on centralized intermediaries or operate under very constrained conditions. By creating OWS and open-sourcing it, MoonPay is arguing that we now have the missing piece that turns a collection of tools into something closer to a full financial stack for agents.
In practice, this could enable scenarios such as:
– AI assistants that autonomously pay for premium data, APIs, or computing power
– Trading bots that hold assets directly, rebalancing across chains based on strategies
– Customer support agents that can issue instant refunds or micro-credits on-chain
– Machine-to-machine commerce where devices pay one another for bandwidth, storage, or services
Each of these requires a wallet layer that is programmable, secure, and compatible with a wide range of blockchains.
Potential use cases beyond trading
The first thought when AI meets crypto is often algorithmic trading, but a standardized AI wallet framework could be far more broadly transformative.
Some examples:
– On-demand services: AI agents managing subscriptions for individuals or businesses, paying for software, media, or infrastructure as usage fluctuates.
– Creator tools: AI systems that can mint, list, and manage NFT collections, handle royalties, and pay collaborators directly on-chain.
– DeFi automation: Agents that monitor interest rates, liquidity pools, and lending protocols, moving funds to optimize returns without manual intervention.
– Cross-border operations: AI-driven treasury tools for small businesses that manage multi-currency and multi-chain balances, reducing friction and fees.
– Experimentation in governance: AI delegates that can participate in on-chain votes according to transparent rules, funded by treasuries they can access via standardized wallets.
In all of these, OWS is not the application itself, but the hidden infrastructure that makes safe, repeatable interactions with digital assets possible.
Standardization as a catalyst for ecosystem growth
Historically, standards have been key inflection points for technology adoption-whether in the form of internet protocols, payment formats, or identity systems. In the AI-crypto intersection, wallets are a natural focal point for such standardization.
By defining clear interfaces and behaviors, OWS makes it easier for:
– Wallet providers to integrate AI-specific features
– Agent frameworks to plug into existing crypto infrastructure
– Security firms to audit and stress-test a single widely used specification
– Regulators and enterprises to evaluate risk using a known architecture instead of ad-hoc systems
This can encourage more institutional and enterprise experimentation with AI agents in financial contexts, as the path from prototype to production becomes more predictable.
Competitive and strategic implications
MoonPay’s move also has strategic implications. As a long-standing player in crypto payments, the company is positioning itself at the center of the next wave of financial infrastructure: AI-native money flows.
By choosing an open-source approach and inviting contributions from major industry actors, MoonPay is betting that being the convener of a standard is more valuable in the long term than owning a proprietary solution. If OWS achieves broad adoption, many AI-agent platforms, wallets, and services could end up building around it, giving MoonPay deep integration points across the ecosystem.
At the same time, the list of contributors shows that other major firms see value in aligning on a shared standard rather than each pushing its own incompatible specification. That collaboration could reduce fragmentation and help the AI-agent financial stack mature more quickly.
Challenges and open questions
Despite the promise, several challenges remain:
– Governance of the standard: How will changes be proposed, evaluated, and adopted? Who has final say when contributors disagree?
– Regulatory considerations: If AI agents can hold and move funds with fewer human touchpoints, how will compliance, KYC, and AML obligations be handled?
– User consent and control: How will end-users define limits, permissions, and oversight for agents acting on their behalf?
– Risk management: What happens when an AI agent with wallet access behaves unexpectedly or is compromised? How can losses be limited?
OWS provides a technical foundation, but the ecosystem will still need norms, best practices, and governance frameworks layered on top.
The road ahead for AI-native financial infrastructure
MoonPay’s Open Wallet Standard marks a concrete step toward a future where AI systems are not just advisory tools but full participants in digital economies. By attempting to standardize how these agents store keys, manage funds, and execute transactions across multiple chains, OWS addresses one of the thorniest, most sensitive areas of AI-crypto integration.
Whether this standard becomes the de facto backbone of the agent economy will depend on adoption: by developers, by major platforms, and by enterprises experimenting with AI-driven financial workflows. But with a broad coalition of contributors and an open-source approach, MoonPay has set the stage for a more coherent, interoperable, and secure architecture for AI agents that actually touch money-moving the concept of autonomous on-chain agents from speculative idea to implementable reality.