I. Project Introduction
Chainbase is a data infrastructure aimed at Web3 and AI, with the goal of transforming chaotic and fragmented raw data on the blockchain into clean, structured, and verifiable data.
Developers can access 'AI-ready' on-chain data directly, similar to calling an API, for trading analysis, bot development, smart contract applications, and even as a foundational data source for AI model training.
Its underlying layer adopts the Manuscript protocol, dual-chain architecture, and four-layer system, compatible with multiple chains and multiple languages, perfectly aligning with the current trend of AI + blockchain integration.
II. Track Prospects
In the process of AI landing in Web3, data is the first step.
Currently, the main issues with on-chain data are: decentralized, messy, and not suitable for direct use by AI. The value of Chainbase lies in its ability to transform this raw data into structured, traceable, and verifiable formats, significantly lowering the development threshold for AI applications.
Currently, Chainbase has already connected to ecosystems such as Base and BNB Chain, and as the number of supported chains and developer communities expands, its network effects will further amplify.
📌 Market Cap: Current circulating market cap is approximately 50 million USD.
📌 Profit Model:
Developers need to pay $C to call data;
Node operations and data processing can earn rewards of $C ;
Annual inflation of 2–3%, linked to actual usage, with real demand supporting the token.
III. Token Distribution and Release
Total supply: 1 billion $C
Allocation structure:
40% for ecological and community incentives (events, grants, developer incentives, etc.)
13% for airdrop (distributed in phases)
12% node rewards
17% institutional investors
15% team
3% liquidity
$
Release rhythm:
The team and investors have part of their tokens locked for 1 year, followed by a linear unlock over 2 years, resulting in a relatively smooth overall release rhythm with limited short-term selling pressure.
IV. Competitive Advantages
Many people compare Chainbase with The Graph:
The Graph is more like an 'indexing tool' that helps users query data;
Chainbase is more like an 'AI-ready data factory' that cleanses and processes raw on-chain data into standardized data directly available for AI and developers, with the entire process being verifiable.
Additionally, Chainbase supports Restaking (such as connecting EigenLayer), further enhancing security and decentralization, making it one of the few differentiated players in the data track.
V. Summary and Outlook
Chainbase's positioning is very clear:
👉 Making on-chain data 'clean and usable.'
As AI deeply penetrates Web3 application scenarios—from smart wallets, automated trading, on-chain data analysis, to agent robots—the importance of the data layer will only continue to rise. Chainbase, as a core data infrastructure, is expected to become an indispensable part of the AI + Web3 integration process.
From token mechanics, ecological design to track logic, Chainbase demonstrates strong sustainability, worthy of continued attention.
