Media giant Thomson Reuters is opening up its data to smart contract authors building on private versions of the ethereum blockchain and R3's Corda distributed ledger platform.
Released in beta today, a 'smart oracle' called BlockOne IQ (B1IQ) is designed to power smart contracts with the kind of reliable financial information required to let counterparties transact without a middleman. B1IQ allows blockchain participants to leverage the media giant's reputation for providing accurate data about share prices, exchange rates, financial benchmarks and more.
The firm devised what initial data should be offered to blockchain developers based on requests from existing customers. The data being made available is useful for actions including the payment of dividends, stock splits "and anything where the company’s equity is impacted by some sort of action," according to Sam Chadwick, director of Thomson Reuters financial and risk management division.
Currently, the oracle is only experimental.
While Thomson Reuters is targeting the larger members of R3 and the Enterprise Ethereum Alliance, the oracle can only be used as part of any organization's proofs-of-concept, just not in live applications. By the end the year, Thomson Reuters intends to decide whether to monetize the oracle, or scrap the project altogether, according to Chadwick.
More sophisticated contracts
Centralized applications, such as those run by banks and brokers, have had access to the the firm's data via more traditional APIs and FTPs for some time. But, this launch opens up access to the growing decentralized application market for the data needed to facilitate more sophisticated transactions.
With additional data sets forthcoming, Chadwick believes the oracle could eventually enable an endless array of advanced blockchain transactions without the need of middlemen.
As an example of how a smart contract could facilitate more sophisticated deals, Chadwick described an interest rate swap where one party would pay a floating rate based on the London Interbank Offered Rate (Libor).
While the role of Libor in such a smart contract would stay the same each time the contract was executed, the number itself changes daily based on industry data. And Thomson Reuters keeps up with those changes. So, a rate swap powered by such a smart contract would query the B1IQ oracle and based on the result, determine which party owes how much.
Chadwick said:
Blockchain revenue streams
The oracle product seems to be focused on proactively finding new sources of revenue for Thomson Reuters.
Last year, the firm's Financial & Risk department generated about $6bn in revenue, according to its annual report. While the year-over-year revenue change is negligible (approximately a 1% decrease), the way that revenue was generated has changed dramatically, according to Chadwick.
Though Chadwick said it's too early to comment on whether blockchain efforts could be a potential new source of revenue, he added:
Thomson Reuters plans on opening up access to data to additional blockchain consortia, including the Linux-led Hyperledger project. (The company is part of Hyperledger, R3 and the Enterprise Ethereum Alliance.)
From there, its plan is to expand its focus from the larger consortia members to the smaller blockchain startups involved in the consortia, Chadwick said. To target startups, Chadwick expects new data sets to be added, specifically around cryptocurrency prices for bitcoin, ethereum and litecoin.
"Although we've got a bias towards the large banks experimenting, some of the smaller firms just in the crypto-space are very interesting to us as well," Chadwick said.
He continued:
Thomson Reuters is not alone in its aim to provide reliable data to the executors of smart contracts.
Startups like Augur and Gnosis use prediction markets to generate reliable data. Further, firms like Oraclize are building hardware-based solutions for accessing reliable data. And last month Cornell University released its own oracle called 'Town Crier', which uses software guard extensions to help ensure the reliability of the data.
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