RedStone Oracle Infra Goes Live on Stellar to Boost DeFi on the Network

RWA distributed asset value on Stellar recently crossed the $1.3 billion mark.

Blockchain oracle provider RedStone has officially launched its price feed infrastructure on the Stellar blockchain.

In an X post on Wednesday, March 4, RedStone said that the integration aims to scale the decentralized finance ecosystem on Stellar, which is broadly used for payments and is one of the largest chains by real-world asset (RWA) value.

The deployment by RedStone introduces new layers of data for DeFi applications, focusing on delivering precise and reliable price feeds suitable for institutionally-focused tokenized RWAs.

“Lending protocols need reliable price feeds. DEXs need accurate data. RWA platforms need institutional infrastructure. You can’t build financial products without trusted oracles,” RedStone said on X today.

Stellar is currently the fifth-largest blockchain network in terms of RWA value on-chain, per data from RWAxyz. Distributed asset value on Stellar recently reached over $1.3 billion for the first time, up 25% in the past 30 days and 50% since the start of 2026.

RWA value on Stellar by asset. Source: RWAxyz

By far the largest RWA on the network is Franklin Templeton’s on-chain money market fund, BENJI, with $678 million in distributed asset value on Stellar.

In its announcement today, RedStone noted that it will provide the BENJI fund feed as part of the integration “bringing institutional-grade price feeds of real-world assets to the Stellar DeFi ecosystem.”

Stellar, which launched in 2014, has a market cap of about $5.2 billion, ranking it 21st among cryptocurrencies, per The Defiant’s price page. XLM is up 6% in the past 24 hours as the broader crypto markets rally.

On-chain RWAs as a broader sector saw massive growth last year, bringing billions of dollars on-chain as an increasing number of large, global financial institutions launched tokenized funds and other assets.

This article was generated with the assistance of AI workflows.