In the midst of the AGI tsunami, Chainbase attempts to build a data ark on the chain.
Written by: Bright, Foresight News
Plato depicted a famous "cave allegory" in "The Republic": prisoners chained in a cave, lifelong only able to see shadows cast on the rock wall by candlelight, believing these shadows to be the only reality; until someone breaks free from the shackles and walks out of the cave, discovering that the world illuminated by sunlight is the true reality.
In today's intertwined world of AI and blockchain, aren't we prisoners in a "cyber cave", swept along by massive data? Fragmented information on and off the chain is like shadows flickering on the rock wall - false, disconnected, unreliable. Developers struggle to build precise applications due to incomplete data, investors miss valuable opportunities due to distorted signals, and AI models generate systemic biases due to unreliable inputs.
The capital market has already begun a land grab on the data supply side, with AI data companies like Scale AI and Surge AI in the San Francisco Bay Area rising with valuations exceeding hundreds of millions of dollars.
On the chain, DataFi has emerged. In the AGI (Artificial General Intelligence) era, DataFi will play the role of escaping the cyber cave - providing an open and transparent data interaction layer, building an AI stack bottom layer centered on data in a chain-native manner, ultimately transforming fragmented human behavioral data into verifiable, structured, AI-ready executable assets.
Chainbase's outstanding performance, with a successful TGE in July and a monthly increase of over 76%, confirms the market's thirst for Web3 AI infrastructure.
Mining the "Gold Mine" of On-Chain Data
Chainbase founder MOGU states that the internet brought connectivity, cryptography brought ownership, and artificial intelligence brought intelligence, but intelligence doesn't appear out of thin air. It stems from the fusion of three elements: data, models, and compute. Currently, AI is developing rapidly in models and computing power, but the data supply side is notably weak - human-generated "organic data" has hit a growth ceiling, and AGI is being "polluted" by its own low-quality data.
Therefore, the next decade of AI will be a decade of "data infrastructure". In this context, data is no longer a technical by-product, in other words, no longer just a servant of productivity. Instead, it becomes a core production factor that can be measured, traded, and value-added, like electricity and computing power.
In the Chainbase Hyperdata Network, operators, validators, developers, and delegators each find their place. Data circulates based on a "manuscript" structure, which includes two parts: Schema and Operators. Schema defines the data types and corresponding parameters of on-chain transactions, while Operators exist as data extraction and analysis methods. After developers compile the manuscript, operators (registered in EigenLayer) will index these manuscripts and confirm them with validators. Validators must ensure data security and integrity, and delegators will stake native ETH or protocol token CBT. If tampering occurs, smart contracts will trigger a punishment mechanism, such as deducting staked ETH, thereby ensuring security at the economic level.
Letting the "Gold Mine" Circulate Freely
Previously, traditional on-chain data infrastructures like The Graph and Dune still required external intervention and manual configuration in data acquisition and processing, making it difficult to achieve automated data processing. Such adaptation requirements limited the comprehensiveness and scalability of traditional data stacks. Users lacking native programming skills would find it challenging to obtain useful information from data infrastructure and complete specific applications.
Facing complex application scenarios, Chainbase has built a chain-native AI large model Theia under the support of a new-generation data stack system and open-sourced it. Theia is based on 8 billion general large language model parameters and over 200 million Crypto parameters, trained using the D2ORA algorithm. Most importantly, Theia supports natural language interaction. Crypto users can dialogue with the Theia model as naturally as using ChatGPT, personally obtaining the required on-chain data.
Chainbase's Future Outlook
Before TGE, Chainbase completed a $15 million Series A funding round, led by Matrix Partners China, with participation from Folius Ventures, Hash Global, JSquare, Mask Network, and Bodl Ventures, indicating traditional internet giants' optimism about DataFi's development prospects.
One month after TGE, Chainbase performed brilliantly in the Binance Alpha project. Currently, Chainbase has a circulating market cap of $63.6 million, a total market cap close to $400 million, with daily trading volume exceeding $200 million globally. Its token C was listed on Binance Alpha on July 14, airdropping 750 C tokens to eligible users, estimated at over $380 at the highest price. Simultaneously, token C was exclusively launched on Bitget Launchpool, distributing 2.5 million C tokens worth over $1 million in the BGB pool to VIP and regular users.
Now, C has been listed on spot and perpetual contract trading on mainstream exchanges like Binance and Bitget. Additionally, C was officially listed on the Korean exchange Bithumb on July 29, known for its strong wealth-creation effect. According to CoinMarketCap data, C's trading volume on Bithumb reached $22.717 million on its first day, ranking 14th in-house.
Currently, according to Chainbase's official disclosure, Chainbase has integrated over 200 blockchains; integrated over 50,000 developers and more than 10,000 on-chain projects; achieved data refresh intervals of less than 3 seconds to ensure real-time performance; processed an average of 500 million queries daily, successfully handling over 600 billion queries; and launched 3 million wallets. Moreover, Chainbase AVS is secured by 600,000 ETH (Eigenlayer) and has established comprehensive partnerships with Eigenlayer, Altlayer, io.net, Google Cloud, TON, Sui, Mask, and Particle.
It can be said that in the midst of the AGI tsunami, DataFi has created a new paradigm of on-chain data assetization and financialization. Chainbase's Hyperdata Network, "starting from the chain", will continue to empower on-chain and off-chain AI, building a pure data ark for users.
