Ripple Enables AI Agent Payments in XRP and RLUSD Through Stripe and Tempo Protocol
Ripple is enabling AI agents to make payments using XRP and Ripple USD (RLUSD) through infrastructure involving Stripe and Tempo’s payment protocol, according to information shared by Cointelegraph.
The development connects Ripple’s digital assets with payment infrastructure designed to support transactions initiated by software agents. It comes as developers explore ways for autonomous AI systems to purchase services, access APIs and settle transactions without requiring a person to manually authorize each payment.
XRP and RLUSD Target AI-Driven Transactions
Ripple has been developing tools specifically for what it describes as agentic payments, in which AI systems can execute transactions as part of automated workflows.
In June 2026, Ripple introduced the XRP Ledger AI Starter Kit, which includes tools and integrations for developers building agent-powered applications on the XRP Ledger. Ripple said the initiative supports X402-powered payments using both XRP and RLUSD for services such as API access, AI model inference and computing resources.
The XRP Ledger is designed to settle transactions within seconds, while its payment functionality supports multiple digital assets. Ripple says transactions on the network typically settle in about three to five seconds, a characteristic the company considers relevant for automated payment systems.
RLUSD provides a separate payment option for transactions that need to be denominated in U.S. dollars. Ripple describes RLUSD as a U.S. dollar-backed stablecoin designed to maintain a value of one dollar and issued on the XRP Ledger and other supported networks.
Stripe and Tempo Add Payment Infrastructure
The reference to Stripe and Tempo’s protocol places the development within a broader effort to establish payment rails that can be accessed programmatically by AI agents.
Rather than relying exclusively on conventional user-initiated checkout processes, agentic payment systems are designed to allow software to request a service, determine the required payment and complete settlement as part of an automated workflow.
Ripple’s June announcement said its XRP Ledger AI Starter Kit was intended to make it easier for developers to build such applications. The company also introduced an XRPL Agent Wallet Skill and Payment Skill for Claude, alongside documentation for agentic transactions.
The company said the XRP Ledger supports deterministic transaction finality, predictable transaction costs and native multi-currency payments. Those characteristics are particularly relevant to software agents that need to account for transaction costs and confirm whether a payment has been completed before proceeding to the next step.
RLUSD Provides a Dollar-Denominated Option
For AI-driven commerce, stablecoins can provide a way to conduct transactions without exposing automated systems to the same price fluctuations associated with volatile digital assets.
Ripple’s documentation states that RLUSD is available on the XRP Ledger mainnet and testnet. On the XRP Ledger, users must establish a trust line with the RLUSD issuer before receiving the stablecoin.
The integration therefore gives developers two distinct payment assets within Ripple’s agentic-payment framework: XRP for native digital-asset transactions and RLUSD for dollar-denominated transfers.
The development comes as payment infrastructure increasingly incorporates programmable transactions and automated software interactions, with the specific implementation involving Stripe and Tempo forming part of that broader push toward machine-to-machine payments.
writer: Ethan Collins
Crypto Journalist
Ethan Collins reports on developments across the cryptocurrency and blockchain sector. His work covers market movements, protocol updates, regulatory changes, and emerging trends in digital assets.
He focuses on presenting complex topics in a clear and accessible manner for a broad readership.
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