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MoonPay’s PayBox now allows ChatGPT and Claude users to manage Solana lending on Kamino. The integration targets $1.3B in TVL for AI-driven DeFi.
MoonPay has integrated the Solana-based lending protocol Kamino into its PayBox vault, enabling users to manage collateralized loans through natural-language prompts in ChatGPT and Claude [1]. The move marks a shift from simple AI-driven micropayments toward complex capital allocation, allowing users to supply assets for yield or borrow USDC against crypto collateral without using a traditional DeFi dashboard [1].
| At a glance | |
|---|---|
| Protocol Integrated | Kamino (Solana) |
| Total Value Locked | ~$1.3 Billion [1] |
| Active Loans | ~$1 Billion [1] |
| Interface | ChatGPT / Claude [1] |
PayBox, which launched in July as a non-custodial vault, was designed to bridge AI interactions with on-chain financial operations [2]. While the platform previously supported token swaps, bridging, and yield generation via Aave, the addition of Kamino introduces collateralized lending to the agentic finance ecosystem [1]. Users can now instruct an AI to deposit tokens or borrow dollar-pegged USDC, with the underlying liquidation mechanics and market rules remaining governed by Kamino [1].
The system utilizes multi-party computation (MPC) to secure wallet keys across hardware enclaves, ensuring that neither the AI agent nor MoonPay can independently authorize fund movements [2]. Users maintain control through a dual-authorization model: they can either manually confirm every transaction via a passkey or enable an "Autonomous" mode with pre-set spending limits [1]. Despite this automation, MoonPay notes that conversational access does not eliminate inherent DeFi risks, such as the potential for an agent to execute a poorly specified instruction or for a position to face liquidation if collateral values drop [1].
The integration is currently subject to significant geographic restrictions. The Kamino plugin is unavailable to users in the United States, the United Kingdom, the European Union, and Australia [1]. Furthermore, access remains subject to variation based on specific assets and local jurisdictions [1].
For those in supported regions, the tool serves as an early test of whether large language models can handle the complexities of leveraged positions, which require ongoing monitoring and collateral awareness [1]. While the broader AI-finance sector has historically focused on frequent, small-scale payments for data or compute, managing a loan requires a different category of oversight [1]. MoonPay has not yet provided a timeline for a wider rollout or the inclusion of additional lending protocols [1].
The integration highlights the growing intersection of conversational AI and decentralized finance, where the primary barrier to entry is shifting from technical interface navigation to the management of automated financial risk. Whether these tools can safely handle the nuances of credit and capital allocation remains the central question for the next phase of agentic finance.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 3 outlets · Aug 30, 2026 · How we report
Crypto lending allows users to borrow funds by using digital assets like Bitcoin or Ether as collateral, or to deposit assets into smart contract-based vaults that allocate funds into yield-generating activities. As of 2026, these systems may be managed by centralized entities or operate through automated protocols that execute predefined strategies.
Crypto lending is subject to federal securities laws if the activities fall within the jurisdiction of the U.S. Securities and Exchange Commission. As of July 2026, Commissioner Hester Peirce has emphasized that developers cannot avoid these laws simply by moving financial activities onto blockchain networks.
The European Union is currently reviewing the Markets in Crypto Assets (MiCA) regulation to determine if decentralized lending and vault structures should be brought under its perimeter. As of September 2026, policymakers are debating how to distinguish between different forms of on-chain lending and the level of control exercised by participants.
Traditional banks and credit unions have generally been reluctant to provide crypto lending services due to the high volatility of digital assets. However, as of 2026, some infrastructure providers are in discussions with financial institutions to facilitate the integration of these services for their clients.