Chainlink Rewards Season 1 goes live as Space and Time brings ZK-proven offchain and historical data to smart contracts for onchain finance.


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Promote with Leviathan NewsChainlink has launched Chainlink Rewards Season 1, the next phase of its community rewards program, with data warehousing project Space and Time participating as one of nine Chainlink BUILD projects and highlighting its ability to bring ZK-proven offchain and historical data into smart contracts for onchain finance. Space and Time is using this campaign to promote its verifiable compute layer, which allows decentralized applications to query offchain and historical data and return zero-knowledge–verified results back onchain, addressing a key requirement for more sophisticated financial products. Season 1 builds on the earlier Season Genesis pilot, where Space and Time made 100 million SXT tokens available to eligible LINK stakers through Chainlink Rewards. In Season 1, eligible LINK stakers receive Cubes, a non-transferable unit of account, which they can allocate to participating projects—including Space and Time—via the rewards.chain.link interface; token rewards from each project are then distributed proportionally to a user’s share of Cubes allocated to that project. This structure is designed to deepen engagement between the Chainlink community and BUILD projects while directing attention and token incentives to infrastructure like Space and Time that expand access to verifiable offchain and historical data. The collaboration matters for onchain finance because many institutional-grade and advanced DeFi use cases require reliable access to offchain datasets, historical market data, and complex analytics, which blockchains cannot natively store or compute at scale. By combining Chainlink’s oracle network and staking-based rewards program with Space and Time’s ZK-proven data warehouse and query engine, developers can design smart contracts that incorporate auditable offchain information—such as historical pricing, user activity, or real-world financial records—while preserving trust minimization. This supports a broader industry push toward more data-rich and compliant onchain financial applications, bridging traditional data infrastructure and blockchain-based settlement.
AI-generated background, compiled from web sources — not editorial content.

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