๐ฌWhy eOracle?
To understand how eOracle compares to traditional oracles, the section below illustrates differences in approach and implementation.
๐ Closed Market vs Open Market ๐
Traditional oracles act as middlemen that decide on cost, supply, and the variety of data. eOracle's data marketplace abstracts away the middleman and replaces it with the largest and most diverse network of blockchain validators. This enables validators and dapps to interface directly in a free market, benefiting the ecosystem with diverse and high-quality data. The direct relationship between validators and dapps benefits both by creating cheaper and more cost-effective data. In this market, new innovations and opportunities are unlocked through efficiency and inclusivity.
๐ Closed operations vs Globally Distributed Operations ๐
In contrast to the nature of the blockchain ecosystem, registration and operations of traditional oracle nodes are limited to a chosen set of nodes. eOracle embodies the ecosystem's values and security principles by relying on nodes operated by Ethereum validators, extending the security of Ethereum's PoS to the oracle space.
Conventionally, oracles rely on bootstrapping branded pools of stake, adding trust assumptions and attack vectors to consumer applications. By leveraging Ethereum validators, eOracle enables applications to utilize secure data without introducing new actors or attack vectors to their security considerations.
๐ Opaque vs Transparent & Programmable ๐ก
Previously, insular oracle systems with obfuscated aggregation were implemented to compensate for validation limitations. With the advent of EigenLayer and the restaking primitive, eOracle implements standards of incentives, transparency, and cryptoeconomic security consistent with ecosystem standards.
๐ซ Restricted Access vs Permissionless Integration โ
Open and free access to information is not only an ecosystem value but a crucial aspect of innovation. Any decentralized application on any blockchain can access and use eOracle data. Instead of limiting industry progression with infrastructure limitations, applications can use their required data anywhere without sacrificing efficiency.
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