As blockchain ecosystems evolve from single-chain environments into interconnected multi-chain systems, on-chain data volumes are growing exponentially. While traditional RPC nodes can read blockchain states, they face efficiency and cost limitations when handling historical data analysis, complex queries, and cross-chain data integration. Data infrastructure has therefore become a critical enabler for DeFi, GameFi, on-chain analytics platforms, and AI Agent.
SQD emerged as a next-generation data network in this context. Its mission is not to build a new blockchain, but to serve as a vital connection layer between Web3 applications and on-chain data.
Blockchains are inherently transparent and public, but raw data is typically stored as blocks, transactions, and event logs—making it difficult for developers to use directly. Whether aggregating historical transaction data, analyzing user behavior, or monitoring on-chain fund flows, complex data extraction and processing are required.
Early on, developers often relied on centralized API providers or built their own indexing systems to access data. However, as on-chain data volumes continued to expand, these approaches revealed limitations in cost, maintenance complexity, and scalability. Subsquid was created to provide an open, scalable data access network that allows developers to obtain structured on-chain data at a lower cost.
The core workflow of the SQD Network can be summarized in five steps: "Ingest, Store, Index, Query, and Return". The network continuously collects raw data from multiple blockchains and stores it in a distributed data lake. Then, Worker nodes process and organize this data for efficient retrieval.
When a developer or application sends a query request, it first enters the Portal layer. Based on the requirements, the Portal routes the query to the appropriate Worker node, which extracts relevant data from the data lake and returns the results. Finally, the Portal delivers the processed data to the application. Compared to traditional RPC nodes that scan blocks sequentially, this architecture significantly improves the performance of complex queries.
The Data Lake is the infrastructure layer of the SQD network, designed to store massive historical data from various blockchains. Unlike traditional databases, a data lake can accommodate a wider variety of data types and supports flexible data processing and analysis. This allows developers to quickly access years of accumulated on-chain records without managing their own large-scale storage systems.
Worker nodes form the computation and execution layer of the network, responsible for data indexing, query execution, and result delivery. These nodes process and optimize raw data so that complex queries can be completed quickly. As more nodes join the network, the overall data processing capacity scales accordingly.
The Portal is the unified entry point for developers to access the SQD Network. Instead of connecting directly to underlying nodes, developers make requests through standardized APIs or SDKs. The Portal handles request distribution, resource scheduling, and result return, reducing the integration complexity for applications.
Hotblocks is the real-time data layer provided by SQD, specifically designed to handle new blocks and live events. Compared to historical data queries, Hotblocks prioritizes low latency and real-time performance, making it ideal for on-chain monitoring, automated trading systems, and AI Agent that require rapid responses.
The SQD Token is a key component of the network's economic model, serving incentive coordination, resource management, and network security functions.
First, Worker nodes earn SQD rewards for providing data services, encouraging more participants to contribute computing and storage resources. Second, token holders can delegate their tokens to node operators via a staking mechanism, participating in network operations and enhancing overall security and engagement.
Additionally, Portal service providers need to stake SQD to obtain corresponding resource quotas and service permissions. This mechanism helps ensure fair resource allocation and improves service quality. As the ecosystem grows, SQD may also be used for certain governance activities, enabling the community to influence the protocol's future direction.
Compared to traditional RPC nodes, SQD's biggest strength lies in its pre-indexed architecture. Since data is collected and processed in advance, developers can directly retrieve the required results without repeatedly scanning blockchain history. This not only improves query efficiency but also reduces the computational load on applications.
SQD also supports complex analytical tasks such as cross-time-range statistics, multi-chain data aggregation, and on-chain behavior analysis—scenarios that are typically difficult to handle with simple RPC queries. Moreover, developers do not need to maintain their own nodes and database servers, lowering infrastructure costs and improving scalability.
DeFi protocols require continuous monitoring of trading volumes, liquidity changes, and user behavior, making efficient data services essential. SQD helps these applications quickly access structured data and supports complex analytical tasks.
Blockchain explorers also rely heavily on historical data queries. With its pre-indexed architecture, SQD significantly improves query efficiency for account, transaction, and smart contract information. For on-chain monitoring platforms, Hotblocks' real-time data capabilities help detect abnormal transactions and risk events promptly.
As AI Agents become a growing trend in Web3, on-chain data access is becoming even more critical. SQD provides a unified data access interface, enabling AI Agents to quickly obtain structured data and execute automated decisions. Additionally, multi-chain applications can leverage SQD's unified framework to reduce cross-chain development complexity.
The blockchain data infrastructure space is highly competitive. Traditional RPC providers have established mature markets, while platforms focused on indexing and data querying continue to expand their ecosystems. As on-chain activity grows, balancing real-time performance, decentralization, and data verification costs will remain a long-term industry challenge.
For SQD, key priorities include expanding the number of supported networks, optimizing the developer experience, and increasing network decentralization. At the same time, the convergence of AI and Web3 may open new growth opportunities for decentralized data networks.
Subsquid (SQD) is a decentralized data infrastructure network specializing in blockchain data access, indexing, and query services. Through a distributed architecture comprising a Data Lake, Worker nodes, and a Portal query layer, SQD offers developers high-performance, multi-chain, and scalable data access.
As DeFi, on-chain analytics platforms, blockchain explorers, and AI Agents continue to demand more data, the data layer is becoming an essential component of Web3 infrastructure. The decentralized data network model represented by SQD provides a more open and efficient solution for acquiring, processing, and sharing on-chain data in the future.
RPC nodes primarily read the current state of a blockchain, while SQD collects, stores, and indexes data in advance. For historical data analysis, complex queries, and cross-chain data processing, SQD typically offers a more efficient data access experience.
Yes. One of SQD's design goals is to support data access and querying across multiple blockchain networks, reducing the complexity for developers through a unified data architecture.
The SQD Token is primarily used for node incentives, delegated staking, resource allocation, and network governance. It serves as a key economic tool to maintain network operations and align participant interests.
Hotblocks is the real-time data layer provided by SQD, specifically designed for new blocks and on-chain live events. Its low-latency nature makes it suitable for monitoring systems, automated applications, and AI Agents in real-time scenarios.





