đŸ”„Project Introduction

Space and Time (SXT) is a decentralized data warehouse that provides trust-minimized, high-performance data processing capabilities for Web3 applications through its breakthrough technology Proof of SQL. Using zero-knowledge proofs to verify SQL query results, SXT enables smart contracts to process complex cross-chain and off-chain data without centralized intermediaries. On May 8, 2025, SXT was launched on Binance, and its mainnet provides a scalable and verifiable data layer for DeFi, AI and RWA applications, becoming a pioneer in Web3 infrastructure.

✹Product Structure

The SXT platform consists of the following core components:

Data Indexing Layer: Synchronizes and structures data from blockchains (Ethereum, Polygon, ZKsync) and external sources to form a queryable unified data set.

Query Execution Engine: Processes SQL queries with sub-second latency and optimizes high-throughput dApps.

Proof Generation Module (Proof of SQL): Generates zero-knowledge proofs to verify the accuracy and integrity of query results and ensure trust minimization.

Developer Tools: Provides APIs and SDKs to support seamless integration of smart contracts and dApps.

💡Technical Architecture Analysis

SXT's architecture combines zero-knowledge cryptography, decentralized consensus, and high-performance computing:

Proof of SQL: A ZK coprocessor that allows a single node to execute complex SQL queries and generate zero-knowledge proofs. Smart contracts only need to verify the proof to use the results, avoiding redundant calculations across the entire network and achieving sub-second latency. The Blitzar framework provides support for its high-performance ZKP generation.

Validator Network: Through Byzantine Fault Tolerance (BFT) consensus, validators are responsible for indexing data, generating cryptographic commitments, and confirming status updates through threshold signatures. Validators need to stake SXT tokens, and malicious behavior will face penalties to ensure economic incentives and security.

Cross-chain indexing: SXT indexes data from the genesis block of the main blockchain and updates it in real time to build a unified, queryable database. Developers can access cross-chain or off-chain data without a centralized oracle.

Elastic Network ZK Chain: A custom chain designed for validator coordination and proof verification to improve scalability.

💎Core advantages and highlights

Trust minimization: Proof of SQL ensures that query results are accurate, which is better than semi-trust solutions such as The Graph.

Sub-second latency: ZK coprocessor provides enterprise-level performance to meet the needs of real-time DeFi and AI applications.

Cross-chain compatibility: Supports Ethereum, Polygon, and ZKsync to solve the problem of blockchain data fragmentation.

Developer-friendly: SQL-based interfaces and powerful APIs reduce the learning curve for Web2 developers.

Enterprise integration: Through cooperation with Microsoft M12, it supports cloud database docking, which is suitable for Web2-Web3 hybrid scenarios.

💰Current barriers and optimization needs

Barrier: ZKP computing cost

Problem: ZKP generation for complex queries is computationally intensive and may increase user fees.

Solution: Optimize the Blitzar framework through hardware acceleration (such as GPU), or use recursive ZKP to reduce the proof size. In the long term, it can be integrated with Layer-2 solutions such as ZKsync to offload the computational burden.

đŸ””Barrier: Validator network scalability

Problem: As the amount of data grows, validator coordination may face bottlenecks, affecting indexing speed.

Solution: Introduce sharding in Elastic Network ZK Chain, or use parallel processing of data indexing. Incentivize more validators to join by increasing staking rewards and enhance network capacity.

Barrier: Adoption friction

Problem: Developers who are unfamiliar with ZKP may face integration challenges, slowing down ecological growth.

Solution: Expand educational resources, hold hackathons, and provide pre-built templates (such as DeFi analysis tools).

☑Summary and contribution to the crypto industry

SXT's technical architecture is centered on Proof of SQL and a decentralized validator network, establishing a new standard for Web3 data infrastructure. Its trust-minimized, low-latency data processing capabilities address the key to smart contract functionality - although it failed to complete Significant bottlenecks in smart contract functionality make complex applications such as AI-driven agents and RWA tokenization possible. Although ZKP costs and network scalability need to be optimized, solutions such as hardware acceleration and sharding are feasible.

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