🧐 From Oracle to Data Verifier: A New Narrative for Trusted Computing | #Binance Launchpool Issue 69 @SpaceandTimeDB Full Analysis——
In the past decade, blockchain infrastructure has achieved three major milestones:
1) Smart contracts have realized the autonomy of on-chain logic;
2) Layer 2 has enhanced blockchain performance;
3) Decentralized storage has established data ownership and availability.
However, as applications such as AI, RWA, and DePIN continue to penetrate on-chain, a new fundamental question begins to emerge:
How can off-chain data + AI computation become trusted inputs for smart contracts?
This is not just 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, and RWA needs to connect with banks or asset systems—these all require a common capability: the provability of the verification process.
The project @SpaceandTimeDB ($SXT) in Binance Launchpool Issue 69 was born to address this issue——
1⃣Space and Time—how to reconstruct the data verification paradigm?
Space and Time (abbreviated as SXT) provides a fully functional platform that integrates database, data warehouse, ZK proof engine, SQL query language, and oracle;
The goal is to allow Web3, DePIN, AI, and other systems to trust off-chain data just like calling an API.
SXT's ambition is not just to be another oracle protocol, but to create a complete closed-loop system that encompasses off-chain queries → cryptographic verification → on-chain proof → data reuse.
Its core technology is a zero-knowledge verification engine known as Proof of SQL, which addresses the “trust gap” problem in traditional off-chain data access.
The traditional approach is “you tell me what you checked,” while SXT's approach is:
“What did you check, and how can I know it’s true? Show me the ZK proof.”
1) Trusted queries: Supports any off-chain SQL query to generate ZK-SNARK proofs, allowing smart contracts to verify the consistency of the computation process and results.
2) AI verifiable: Models perform inference off-chain, with ZK proofs ensuring result correctness, laying the data foundation for on-chain AI.
3) Multi-chain integration: Supports heterogeneous structures like EVM chains, Solana, Cosmos, naturally adapting to multi-chain AI and RWA scenarios.
4) Low barrier to access: Developers can operate using familiar SQL and APIs without needing to learn a new language.
In other words, SXT upgrades off-chain data from “result trustworthiness” to “process trustworthiness.”
In summary: Traditional oracles are “I tell you the result,” while SXT is “I can even encrypt and verify the process for you.”
2⃣Why is this structure necessary?
On-chain smart contract execution used to rely on “data snapshots”; but in the future, it will be more complex, involving off-chain database queries, API calls, AI inference, data aggregation, etc.
This means that single-point results are no longer sufficient; on-chain execution logic will increasingly require “process trust” as a security baseline.
SXT's design is not to replace anyone, but to meet the essential validation needs of complex computations in the future.
AI Agents, off-chain contract systems, cross-chain trading matching platforms… these systems no longer just need data sources, but require a trusted computing external world interface.
When AI-driven smart contracts become the new paradigm, having just “data” is far from enough; “how to obtain this data” is the real core that determines execution results.
Therefore, if off-chain computation + trusted inference become mainstream, SXT will become an irreplaceable “off-chain middleware layer.”
3⃣Who is supporting SXT? Behind it stands a heavyweight team
SXT is not just a technical ideal; it has already received strong capital and industrial support:
💰 Microsoft’s M12 fund has invested in two rounds:
Leading a $20 million investment in 2022; participating again in the A round in 2024;
Additionally, Fidelity, Bank of America, Azure, Chainlink, ZKsync, and others have already connected or collaborated.
Some of them are investors, some are partners, and some are direct participants in infrastructure.
This means that SXT already has full-stack endorsement from narrative, capital to resource landing.
4⃣Conclusion: Why is SXT worth paying attention to?
ZK, AI, Oracle, RWA, DePIN—these popular sectors were previously independent tracks;
But now, they are merging into a common problem space—the trustworthiness of off-chain data.
SXT is not about solving “a particular point,” but is establishing a new execution paradigm of “data input → process proof → on-chain verification.”
It is not a “data feeding” role, but an off-chain engine that “turns the external world into trusted modules.”
In the coming years, on-chain execution logic will inevitably rely more and more on off-chain reasoning and data flow.
Thus, SXT is not a replacer; it is precisely the long-missing piece of this system puzzle!
