Supra, a leading provider of data oracles and verifiable randomness, has integrated with ApeChain on Arbitrum’s new layer-3.
As the first oracle price feed protocol and verifiable randomness protocol to launch on the new layer-3 on Arbitrum, Supra, a top data oracle and verifiable randomness supplier, has integrated with ApeChain.
ApeChain intends to utilize the Distributed Oracle Agreement (DORA) and Oracle price feeds protocol to facilitate real-time data accessibility for L3-based decentralized apps such as GameFi and DeFi.
However, we will use their decentralized verifiable randomization protocol to ensure the accuracy of random results in prize draws, blockchain games, and other scenarios where total transparency is required to foster confidence.
The protocol behind Supra, known as the Supra Moonshot Consensus, claims to have achieved 530K transactions per second throughput in the advanced global testing phase, with a 500 ms optimistic finality and a ~1.5–2 s full block finality.
The platform’s DORA oracle protocol aims to streamline the verification and transmission of real data to deterministic blockchain networks. They claim that DORA is expanding steadily, with over 475 active price feeds.
According to the business, its two flagship products, dVRF and DORA, provide a trustless and verifiable solution to the issue of producing unpredictable results for dApps through decentralized randomness.
Hervé Larren, co-author of ApeChain and member of the ApeCoin DAO Special Council, made the following statement in response to the integration of Supra with ApeChain: “Supra is leading solutions with integrations across all major ecosystems and will now empower ApeChain through bridges, Oracles, automation, and randomizers.” The ApeCoin DAO eagerly anticipates the inventive inventions that builders will craft with Supra’s best-in-class stack for games, DeFi, and more!
With this collaboration, ApeChain intends to hasten the widespread adoption of Web3 gaming by building confidence through dependable data and “verifiably fair outcomes.”