In the rapidly evolving world of blockchain and decentralized applications, data integrity, speed, and trust are non-negotiable. Developers need reliable, scalable, and secure access to onchain and offchain data—without compromising performance. Enter Space and Time, a decentralized infrastructure redefining how blockchain applications interact with data through zero-knowledge (ZK) proofs, real-time indexing, and SQL-powered analytics.
Unlike traditional blockchain indexing services that rely on centralized databases and trust assumptions, Space and Time offers a trustless, scalable, and cryptographically secure alternative. It seamlessly integrates with smart contracts, enabling them to execute complex data queries across multiple chains and offchain sources—with verifiable ZK proofs returned in under a second.
This next-generation platform functions as a unified solution: a decentralized indexing service, database, data warehouse, and API server, all secured by its groundbreaking sub-second ZK coprocessor.
👉 Discover how decentralized data infrastructure is transforming Web3 development.
The Power of Sub-Second ZK Proofs
At the heart of Space and Time lies Proof of SQL—the world’s first zero-knowledge coprocessor optimized specifically for SQL workloads. This innovation allows smart contracts to run expressive, data-driven queries and receive cryptographically verified results within a single block.
Imagine a DeFi protocol needing to verify historical trading volumes across Ethereum and Polygon before executing a cross-chain swap. With traditional systems, this would require offchain computation and trust in third-party oracles. But with Space and Time, the smart contract can directly query aggregated data and receive a ZK-proven answer—ensuring correctness without intermediaries.
This trustless SQL capability opens doors for:
- Real-time fraud detection in onchain transactions
- Dynamic NFT minting based on user behavior across chains
- Cross-chain lending protocols that validate borrower history securely
The sub-second verification time ensures that applications remain responsive and competitive, even under high-throughput conditions.
Unified Web3 Data Platform with Ready-to-Use APIs
Building powerful blockchain applications shouldn’t start from scratch. Space and Time accelerates development with a rich ecosystem of pre-built Web3 data APIs, giving developers instant access to hundreds of terabytes of indexed, real-time blockchain data.
These APIs cover major networks including:
- Ethereum
- ZKsync
- Bitcoin
- Polygon
- Sui
- Avalanche
Whether you're building a dashboard, analytics engine, or smart contract automation tool, you can tap into clean, structured data without running your own nodes or maintaining indexing pipelines.
And because every query result is secured by ZK proofs via integration with Chainlink Functions, the data delivered onchain is not just fast—it’s provable.
👉 See how real-time, ZK-verified data can power your next Web3 app.
AI-Powered Prompt-to-SQL: Natural Language Meets Onchain Analytics
One of the biggest barriers in blockchain development is writing complex SQL queries over fragmented, multi-chain datasets. Space and Time eliminates this friction with its AI-powered Prompt-to-SQL feature.
Developers and analysts can simply ask questions in plain English—like “Show me the top 10 wallets by ETH transfer volume in the last 7 days”—and the system automatically generates accurate SQL queries, visualizations, and even full dashboards.
Beyond convenience, this tool enhances security and accuracy:
- Queries are generated with enterprise-grade syntax and optimization
- Access controls ensure users only see permitted data
- Outputs can be published as REST APIs or embedded directly into dApps
This democratizes access to advanced analytics, allowing non-technical team members to explore onchain data safely and efficiently.
Infinite Scalability for Petabyte-Grade Workloads
As blockchain ecosystems grow, so does their data footprint. Some networks generate terabytes of data per month—posing serious challenges for storage, retrieval, and processing.
Space and Time is engineered for elastic scalability, supporting petabyte-scale datasets with high throughput and low latency.
Petabyte-Scale Storage
The network dynamically scales storage capacity as demand increases. Whether you’re indexing Bitcoin’s entire transaction history or ingesting real-time IoT sensor data offchain, Space and Time handles it seamlessly.
You can also load your own private datasets—such as KYC records or internal financial logs—and securely join them with public blockchain data using encrypted computation.
Encryption and Privacy
Data security is paramount. Space and Time encrypts data:
- At rest (in-database)
- In transit (during transfer)
- In use (during query processing)
This enables hybrid use cases where public onchain activity is analyzed alongside sensitive offchain information—without exposing private details.
For example, a compliance tool could verify if a wallet has interacted with sanctioned addresses while keeping the user’s identity encrypted.
High-Throughput Query Engine
The platform supports thousands of concurrent queries with high transactions per second (TPS), making it ideal for:
- Real-time trading dashboards
- Large-scale analytics platforms
- Multi-chain monitoring systems
No matter how complex the query—joins across chains, time-series aggregations, or nested subqueries—performance remains consistent.
Why Developers Are Choosing Space and Time
More than just a technical upgrade, Space and Time represents a paradigm shift in how dApps handle data. By combining decentralization, cryptographic verification, AI assistance, and massive scalability, it empowers builders to create applications that were previously impossible or too risky to deploy.
Ecosystem partners praise its reliability, speed, and ease of integration. From DeFi protocols needing provable market data to NFT platforms verifying minting histories across chains, the use cases are expanding daily.
Frequently Asked Questions (FAQ)
Q: What makes Space and Time different from traditional blockchain indexers like The Graph?
A: Unlike traditional indexers that rely on centralized nodes and trust assumptions, Space and Time uses zero-knowledge proofs to provide cryptographically verifiable query results. Its sub-second ZK coprocessor ensures that smart contracts receive trusted answers within one block—without relying on external oracles or manual validation.
Q: Can I use Space and Time for offchain data analysis?
A: Absolutely. The platform allows you to securely load private offchain data (like user databases or enterprise logs) and join it with public blockchain data—all while maintaining encryption and access controls. This enables powerful hybrid analytics scenarios.
Q: How does the Prompt-to-SQL feature ensure query accuracy?
A: The AI model is trained on vast amounts of correct SQL patterns and blockchain schema structures. It generates syntactically accurate queries with proper joins, filters, and aggregations. Each output is validated before execution to prevent injection risks or logic errors.
Q: Is there a limit to how much data I can store or query?
A: No. The network scales elastically to petabyte levels. You can store and query massive datasets across multiple chains without hitting performance bottlenecks. Throughput scales with demand, supporting thousands of concurrent requests.
Q: How does ZK-proven data integrate with smart contracts?
A: Space and Time integrates natively with Chainlink Functions, allowing smart contracts to make API calls that return ZK-verified results directly onchain. This means your contract logic can safely depend on external data without sacrificing decentralization.
Q: Do I need to run my own nodes to use Space and Time?
A: No. All blockchain data is already indexed and available via APIs. You don’t need to manage infrastructure—just connect and start querying.
👉 Start building with trustless, ZK-verified blockchain data today.
Core Keywords
- Zero-knowledge proofs
- Blockchain indexing
- Decentralized database
- Sub-second ZK coprocessor
- Trustless SQL
- Web3 data APIs
- Prompt-to-SQL
- Petabyte-scale storage