🧐 From Oracle to Data Verification Machine: A New Narrative of Trusted Computing | Binance Launchpool Issue 69 @ SpaceandTimeDB Full Analysis—— In the past decade, blockchain infrastructure has accomplished three major things: 1) Smart contracts achieve on chain logic autonomy; 2) Layer2 improves blockchain performance; 3) Decentralized storage establishes ownership and availability of data. But as AI, RWA, DePIN and other application scenarios continue to penetrate the chain, a new fundamental problem begins to emerge: How to make off chain data+AI computing a trusted input for smart contracts? This is not an interface issue, but a gap in trust infrastructure. AI Agents need to call off chain database results, DePIN needs to feed device sensor data, RWA needs to connect with banks or asset systems - all of which rely on a common ability: the verifiability of the verification process. The 69th project of Binance Launchpool, @ SpaceandTimeDB (SXT), was born to address this issue—— one ⃣ Space and Time - How to refactor the data validation paradigm? Space and Time (SXT for short) provides a fully functional platform that integrates databases, data warehouses, ZK proof engines, SQL query language, and oracle machines; The goal is to enable systems such as Web3, DePIN, AI, etc. to trust off chain data like calling APIs. SXT's ambition is not just another oracle protocol, but to create a complete closed-loop system that covers off chain queries, encryption verification, on chain proofs, and data reuse. Its core technology is a zero knowledge verification engine called Proof of SQL, which solves the "trust gap" problem in traditional off chain data access. The traditional approach is to 'tell me what you've researched', while SXT's approach is: What did you check, how do I know it's true? Generate a ZK proof for me to see. ” 1) Trusted Query: Supports any off chain SQL query to generate ZK-SNARK proofs, and smart contracts can verify the consistency between the calculation process and the results. 2) AI verifiable: The model infers off chain and ZK proves the correctness of the results, laying a data foundation for on chain AI. 3) Multi chain access: supports heterogeneous structures such as EVM chain, Solana, Cosmos, and naturally adapts to multi chain AI and RWA scenarios. 4) Low threshold access: Developers can operate with familiar SQL and APIs without the need to learn new languages. In other words, SXT upgrades off chain data from trustworthy results to trustworthy processes. In summary, the traditional oracle is "I'll tell you the result", while SXT is "I can even encrypt and verify the process for you to see". two ⃣ Why is this structure necessary? On chain smart contract execution, relying on "data snapshots" in the past; But the future will be more complex, involving off chain database queries, API calls, AI inference, data aggregation, and more. This means that single point results are no longer sufficient, and on chain execution logic will increasingly require 'process trust' as a security baseline. The design of SXT is not to replace anyone, but to meet the verification needs of future complex calculations. AI Agent、 Off chain contract systems, cross chain transaction matching platforms... These systems no longer only require data sources, but also require a trusted computing external world interface. When AI driven smart contracts become a new paradigm, having "data" alone is far from enough. "How to obtain this data" is the true core that determines the execution results. So, if off chain computing and trusted inference become mainstream, SXT will become an irreplaceable 'off chain middleware layer'. three ⃣ Who is supporting SXT? Standing behind is a heavyweight team SXT is not just a technological ideal, it has gained strong capital and industry support: 💰 Two rounds of participation in Microsoft M12 Fund: Lead investment of 20 million US dollars in 2022; Participate in Series A financing again in 2024; At the same time, Fidelity, Bank of America, Azure, Chainlink, ZKsync, and others have all been integrated or collaborated with. Some of them are investors, some are partners, and some are infrastructure participants directly connected. This means that SXT has a full stack endorsement from narrative, capital to resource implementation. four ⃣ Conclusion: Why is SXT worth paying attention to? Popular sectors such as ZK, AI, Oracle, RWA, and DePIN used to be independent tracks; But now, they are merging into a common problem space - the credibility issue of off chain data. SXT is not solving a 'single point', but rather establishing a new execution paradigm of 'data input → process proof → on chain verification'. It is not a role of "feeding data", but an off chain engine that "turns the external world into a trusted module". In the coming years, on chain execution logic will inevitably become increasingly dependent on off chain inference and data flow. So SXT is not a replacement, but it happens to be a long missing piece of the puzzle in this system!