#sxt $SXT Space and Time: Verifiable Data for AI, Tokenization, and DeFi
An AI agent analyzing a protocol, a tokenized asset, and a DeFi application all need data to operate. But how can they verify that the numbers were calculated correctly? This is the problem Space and Time addresses.
At its core is Proof of SQL, a technology that generates cryptographic proofs for SQL query results. Applications can verify that a computation was performed correctly against committed data, reducing reliance on the party providing the answer.
For AI, agents need information about balances, protocol activity, and transaction history before taking action. For example, an agent evaluating a protocol could use its total recorded fees over a specific period, accompanied by a verifiable proof. This makes the underlying calculation checkable, without claiming that every AI conclusion is correct.
For tokenization, records of holdings, cash flows, and valuations often exist outside the blockchain. Space and Time supports combining these records with onchain activity and proving supported calculations. Examples include calculations feeding net asset value (NAV) reports or aggregating a tokenized stock’s trading volume across multiple pools.
For DeFi, smart contracts can use proven results from historical activity to determine reward eligibility or offer fee discounts to loyal users. This enables protocol rules to reflect verifiable past behavior.
Within the network, $SXT pays for network workloads and is staked to support validator security. These functions connect the token’s utility to the network’s operation.
Space and Time’s core story is about making the data computations behind applications verifiable—supporting more transparent AI workflows, tokenized assets, and decentralized finance. @SpaceandTime
An AI agent analyzing a protocol, a tokenized asset, and a DeFi application all need data to operate. But how can they verify that the numbers were calculated correctly? This is the problem Space and Time addresses.
At its core is Proof of SQL, a technology that generates cryptographic proofs for SQL query results. Applications can verify that a computation was performed correctly against committed data, reducing reliance on the party providing the answer.
For AI, agents need information about balances, protocol activity, and transaction history before taking action. For example, an agent evaluating a protocol could use its total recorded fees over a specific period, accompanied by a verifiable proof. This makes the underlying calculation checkable, without claiming that every AI conclusion is correct.
For tokenization, records of holdings, cash flows, and valuations often exist outside the blockchain. Space and Time supports combining these records with onchain activity and proving supported calculations. Examples include calculations feeding net asset value (NAV) reports or aggregating a tokenized stock’s trading volume across multiple pools.
For DeFi, smart contracts can use proven results from historical activity to determine reward eligibility or offer fee discounts to loyal users. This enables protocol rules to reflect verifiable past behavior.
Within the network, $SXT pays for network workloads and is staked to support validator security. These functions connect the token’s utility to the network’s operation.
Space and Time’s core story is about making the data computations behind applications verifiable—supporting more transparent AI workflows, tokenized assets, and decentralized finance. @SpaceandTime