Traditional data architectures are facing core bottlenecks such as a lack of trust mechanisms, difficulties in data interoperability, and insufficient AI support. Chainbase's Hyperdata network systematically addresses these challenges, paving the way for a new generation of data infrastructure in the industry.
The core breakthrough of the Hyperdata network comes from its four-layer technical architecture:
The consensus engine uses CometBFT to achieve millisecond-level transaction confirmation and instant finality;
The execution layer relies on EigenLayer AVS, supporting high-throughput parallel computing;
The data availability layer achieves unified cross-chain data storage through dedicated DA design;
The application interface layer provides a variety of APIs, supporting flexible calls and system integration.
This layered structure allows Chainbase to achieve response performance comparable to Web2 systems while maintaining decentralized characteristics.
The Manuscript protocol, as a key innovation, has completely restructured the data standardization process. This protocol establishes a universal data model that automatically translates multi-chain raw data into structured, interoperable information units, fundamentally solving the pain points of inconsistent data formats across heterogeneous chains. For example, users can now obtain real-time interest rate data from the entire chain lending market through a single interface, directly supplying it for quantitative strategies or AI models without the need to build nodes and perform cumbersome data cleaning for each chain.
In terms of AI-oriented data ecosystems, Chainbase exhibits significant advantages:
Compared to traditional solutions, it provides a verifiable decentralized network, an economic model that transforms data into assets, and native structured output, fundamentally changing the old model that relied on third-party trust, charged by service, and required complex preprocessing.
Compared to similar projects:
The Graph only supports a single GraphQL, while Chainbase provides multiple types of interfaces for unified access;
Dune Analytics focuses on dashboards, while Chainbase adheres to an API-first architecture;
Covalent adopts a centralized SaaS model, while Chainbase builds an open node network.
Chainbase has also created a low-threshold developer ecosystem:
Developers can get started without barriers through free API keys and testnet environments, relying on a smooth workflow from local SDK → sandbox testing → mainnet deployment. Manuscript protocol contributors can also enjoy query fee sharing, combined with comprehensive technical documentation and an active developer community, forming a positive feedback loop of an open ecosystem.
Chainbase not only resolves the deep-seated dilemmas of data infrastructure in the Web2 era but also, based on the Hyperdata network, promotes the evolution of data value towards a composable, verifiable, and AI-native new paradigm.