Ripple proposes institutional lending layer for XRP Ledger
Ripple has proposed an XRP Ledger lending protocol that would automate loan mechanics while leaving credit decisions to financial institutions. The test-network features still require validator approval before going live.
What happened?
Ripple has proposed an XRP Ledger lending protocol that would automate loan mechanics while leaving credit decisions to financial institutions. The test-network features still require validator approval before going live.
Why it matters
Ripple highlighted short-term financing as one potential use. A payments company holding reserves in the dollar-pegged RLUSD stablecoin could borrow through an approved pool while waiting for a cross-border settlement, instead of selling assets or using a bank credit line.
Ripple is seeking to add institutional lending to the XRP Ledger through proposed standards XLS-65 and XLS-66. The system would allow institutions to borrow against tokenized assets, with XRPL handling agreed loan terms while lenders assess borrowers off-chain.
The proposal could expand XRPL beyond issuing and transferring assets by adding base-layer credit infrastructure. Ripple says separating automated loan administration from human underwriting lets institutions retain control over credit and jurisdiction-specific decisions.
Under the design, Single Asset Vaults would pool one type of asset for lending. Once a loan is approved, the ledger would manage functions including interest accrual, repayment enforcement and default processing according to fixed terms.
Ripple highlighted short-term financing as one potential use. A payments company holding reserves in the dollar-pegged RLUSD stablecoin could borrow through an approved pool while waiting for a cross-border settlement, instead of selling assets or using a bank credit line.
The protocol would compete with established on-chain lenders including Aave, Compound, Maple and Clearpool. Ripple argues that implementing lending rules at the network level can offer institutions greater predictability than systems whose risk parameters may change through governance votes. The proposals are available for development-network testing but remain subject to approval by XRPL validators.