🧐 From Oracle to Data Verification Machine: A New Narrative for Trusted Computing | #Binance Launchpool Issue 69 @SpaceandTimeDB Full Analysis——

In the past decade, blockchain infrastructure has accomplished three major things:

1) Smart contracts have achieved autonomy in on-chain logic;

2) Layer 2 has enhanced blockchain performance;

3) Decentralized storage has established data ownership and availability.

However, as applications like AI, RWA, and DePIN continue to penetrate on-chain, a new fundamental question begins to emerge:

How can off-chain data + AI computation become a trusted input for smart contracts?

This is not just an interface issue, but a gap in trust infrastructure.

AI Agents need to call results from off-chain databases, DePIN needs to feed device sensor data, and RWA needs to connect with banks or asset systems—these all rely on a common capability: the provability of the verification process.

The Binance Launchpool Issue 69 project @SpaceandTimeDB ($SXT) was born to address this issue——

1⃣ Space and Time—How to Reconstruct the Data Verification Paradigm?

Space and Time (abbreviated as SXT) provides a full-featured platform that integrates databases, data warehouses, ZK proof engines, SQL query languages, and oracles;

The goal is to enable systems like Web3, DePIN, and AI to trust off-chain data as easily as 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 queried," while SXT's approach is:

"What did you query, and how do 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 infer off-chain, with ZK proofs ensuring the correctness of results, laying the data foundation for on-chain AI.

3) Multi-Chain Integration: Supports heterogeneous structures like EVM chains, Solana, and Cosmos, naturally adapting to multi-chain AI and RWA scenarios.

4) Low Barrier to Entry: 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 say "I tell you the result," while SXT says "I can even encrypt and verify the process for you."

2⃣ Why is this structure necessary?

On-chain smart contract execution has relied on "data snapshots" in the past; however, 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; on-chain execution logic will increasingly require "process trust" as a security baseline.

SXT's design is not meant to replace anyone but to meet the essential need for verification in future complex computations.

AI Agents, off-chain contract systems, cross-chain transaction matching platforms… these systems no longer just need data sources; they need a trusted computing interface to the external world.

As AI-driven smart contracts become the new paradigm, having "data" alone is far from enough; "how to obtain this data" is the real core that determines execution results.

Therefore, if off-chain computation + trusted reasoning become mainstream, SXT will become an irreplaceable "off-chain middleware layer."

3⃣ Who is supporting SXT? Behind it stands a heavyweight team

SXT is not just a technical ideal; it has already gained strong capital and industry support:

💰 Microsoft M12 Fund has invested in two rounds:

Leading a $20 million investment in 2022; participating again in the A round of financing in 2024;

Additionally, Fidelity, Bank of America, Azure, Chainlink, ZKsync, and others have already connected or collaborated.

Some are investors, some are partners, and some are direct participants in the infrastructure.

This means SXT has already established full-stack endorsement from narrative, capital to resource implementation.

4⃣ Conclusion: 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 solving "a single point," but is 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 trusted modules."

In the coming years, on-chain execution logic will inevitably rely more on off-chain reasoning and data flow.

Thus, SXT is not a replacer; it is precisely the piece of the puzzle that has long been missing in this system!

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