In today's convergence of the two major technological waves of Web3 and AI, a fundamental 'data gap' is becoming the biggest bottleneck for innovation. AI models need high-quality, structured data for training, while raw on-chain data is fragmented and hard to verify 'noise'. How to break this dilemma? The answer may lie with Chainbase - a Web3 data infrastructure project that has just received Tencent's sole annual investment in the crypto field.
This investment is not just a capital injection, but a strategic endorsement from top tech giants, clearly pointing to a future: the infrastructure of the next generation of the internet must be born for AI. @chainbasehq comes for this purpose, aiming far beyond just being a data indexing tool, but to build an open and transparent 'Hyperdata Network' specifically designed for the AI era.
DataFi: From 'Data as a Service' to 'Data as an Economy'.
Chainbase's grand vision is manifested through a disruptive concept - 'DataFi'. While DeFi enables permissionless flow of value, DataFi aims to achieve permissionless flow and assetization of data.
Imagine raw, chaotic on-chain data being transformed into a priceable, tradable, combinable economic asset through Chainbase's network. The production, processing, verification, and consumption of data all follow a set of transparent economic incentive rules driven by the native token $C. This is no longer just a simple 'Data-as-a-Service', but constructs a brand new, programmable 'data economy'.
Core Engine Manuscript: Making data processing itself a programmable asset.
The core technology to realize this vision is Chainbase's proprietary Manuscript protocol. It allows developers to use universal languages like SQL to create programmable scripts that systematically transform raw data from any source into standardized, AI-compatible verifiable data assets.
This completely changes the game. In traditional models, the logic of data processing is an opaque 'black box' from centralized service providers. Manuscript standardizes and opens this process. A 'manuscript' that can efficiently extract specific valuable data sets is itself a valuable knowledge asset that can be freely created, shared, and even traded in the network. This not only stimulates the collective wisdom of the community but also builds a solid microeconomic foundation for DataFi - the knowledge of data processing itself can finally be priced and circulated.
Dual-chain architecture and dual staking: Safeguarding data security for the AI era.
For AI applications, the reliability and security of data are lifelines. Chainbase provides a model solution through its ingenious technical architecture.
It innovatively adopts a 'dual-chain' architecture:
Execution Layer: Built on EigenLayer, utilizing its Active Verification Service (AVS) to handle large-scale parallel computing, secured by the economic safety of the Ethereum mainnet.
Consensus Layer: Based on the mature Cosmos CometBFT engine, ensuring consistency and instant finality of data state.
This design of separating computation and verification acts like a 'double insurance' for the data processing system. Furthermore, its 'Dual-Staking' model requires network validators to simultaneously stake Ethereum Liquid Staking Tokens (LSTs) and Chainbase's native tokens.
$C token. This exponentially increases the cost of attacking the network, fundamentally solving the security risks traditional PoS networks may face, and builds a highly resilient cryptoeconomic security system.
Not just 'selling shovels', but becoming the 'miners' of the future.
Chainbase's strategic vision is reflected in its grand four-phase overall plan: from building the top data platform, to establishing a trustless data model network, to investing in and incubating data-driven mass market applications, ultimately driving millions of builders globally to innovate on the blockchain. This clearly demonstrates a strategic path from 'selling shovels' to 'mining gold', similar to Amazon's classic platform ecosystem strategy of expanding from e-commerce to AWS cloud computing.
Currently, Chainbase has attracted over 30,550 developers, with daily API calls stabilizing at hundreds of millions, and its AVS mainnet staking amount has reached 623,000 ETH (approximately $2.45 billion). These strong data, along with deep collaborations with top projects and public chains such as Google Gemini, CARV, and Sui, collectively prove its strong market execution capability.
Chainbase is not just building a data layer; it is laying a crucial data foundation for the future where AI agents execute complex tasks on-chain. It is not merely 'AWS for Web3', but adds a future-oriented intelligence layer to this AWS.
