New Pyth Data Provider: Digital Asset Research
We are pleased to welcome Digital Asset Research (DAR), a leading provider of ‘clean’ crypto data, to the Pyth network! DAR will contribute real-time market prices for crypto assets to the network to ensure that Pyth continues delivering high-fidelity price data.
What is Digital Asset Research?
- Digital Asset Research (DAR) is a specialized provider of ‘clean’ digital asset data, insights, and research for institutional clients.
- Since 2017, DAR leads by rigorously vetting out noisy inputs for flagship clients such as Bloomberg, FTSE Russell, and Wilshire.
- Each day, DAR processes 200+ million trades to calculate 10,000+ institutional-quality digital asset prices and deliver a range of product solutions to navigate the cryptoverse.
Doug Schwenk, DAR’s CEO, stated, “As a specialized provider of digital asset data, we’re honored to join Pyth in growing their oracle network and to contribute to the DeFi ecosystem overall. We look forward to furthering their greater mission of delivering reliable, accurate, real-time pricing data to hundreds of applications from lending protocols to derivative platforms.”
Abhimanyu Bansal, a contributor to the Pyth Data Association, stated, “DAR is trusted by leading institutions for the quality and depth of their crypto market data. In the same vein, Pyth, as the leading oracle, has been immensely successful in bridging the gap between traditional and decentralized finance. We are confident that our partnership together will promote the growth of and attract new participants to DeFi”
We look forward to further joining forces with more amazing partners to build the digital data marketplace we all need — a marketplace for institutional-grade, high-fidelity financial data made accessible for any application on any blockchain.
Do you own proprietary and valuable data? You can apply to become a Pyth publisher here. Discover all other Pyth network data publishers on our website.
Digital Asset Research: https://www.digitalassetresearch.com/
Pyth Network: https://pyth.network/
We can’t wait to hear what you think! You can join the Pyth Discord and Telegram, follow us on Twitter, and be the first to hear about what’s new in the Pyth ecosystem through our newsletter. You can also learn more about Pyth here.