When Chainbase entered the scene in 2021, the Web3 data ecosystem was like a congested road network—data was 'stuck' on single chains, making it difficult to cross domains, AI applications struggled to connect to data, and only data users benefited while contributors returned 'empty-handed'. It did not take the shortcut of 'repairing small roads', but used Hyperdata Network as the main beam to build a 'data interchange' that allows for 'cross-chain circulation, direct AI connections, and value sharing', connecting scattered chains, difficult-to-implement AI, and fragmented participants into an efficiently operating digital road network, becoming a rare 'builder' in the DataFi track.

With Hyperdata as the main beam, first resolve the dilemma of 'data being stuck on the chain'.

Chainbase's most crucial action is using Hyperdata Network to build a 'cross-chain main bridge'—it's not simply connecting a few 'small roads' from several chains, but rather supporting the efficient flow of multi-chain data like a main beam of an interchange, with all technical details coming from publicly available project parameters:

It first establishes 'lanes' through a 'dynamic node synchronization system' among over 200 chains, including Ethereum, BNB Chain, Sui, and Base (the main issuing chain for $C)—real-time capturing transaction details, contract interactions, asset holdings, and other granular data; even small and medium chains can quickly connect to the main bridge through 'lightweight access ramps', compressing the new connection period from 1 month to 7 days, ensuring that data does not 'get stuck at the ramp entrance'.

More importantly, the 'homogeneous data scheduling algorithm', like the 'traffic command system' of an interchange, can automatically identify associated data across different chains: for example, the same user holding USDT on Ethereum and BNB Chain will be automatically consolidated into a 'cross-chain asset panoramic view'; the circulation records of the same NFT project across multiple chains can be connected into a complete 'asset circulation trajectory'. As of now, this 'interchange' has facilitated over 500 billion data transactions, with cross-chain data response delays stable within 100 milliseconds, without any 'traffic congestion'.

To make the 'bridge surface' more complete, it also collaborates with Chainlink to connect institutional-level data streams from Scale—integrating macroeconomic indicators, asset safety ratings, and other 'off-chain road networks' into the main bridge, filling the data gap between 'on-chain + off-chain'. As a result, AI applications no longer require 'single-lane data', but rather 'multi-lane data streams' that can directly access the 'interchange'.

Building 'bridges' with tools and collaboration allows AI and ecosystems to 'quickly connect'.

Having only a main bridge is not enough; Chainbase has also built 'bridges' for developers and the ecosystem, allowing AI applications and Web3 projects to easily 'connect' without becoming 'isolated bridges'; all ecological data has project report support:

The Manuscript tool is the most essential 'developer bridge'—there's no need to understand complex 'cross-chain traffic rules'; the GUI visualization interface allows for dragging to generate data calling logic, and the CLI command line tool can output 'pass-through code' that adapts to EVM (Ethereum, Base) or Move (Sui) ecosystems with one click. For example, when developing a cross-chain AI risk control tool, directly use the built-in 'asset volatility analysis template' without having to 'repair small roads' again; over 20,000 developers quickly connect through this 'bridge', with 40% developing AI-related applications.

APIs and SDKs serve as 'standardized ramps'—covering high-frequency scenarios such as DeFi asset monitoring, NFT valuation, and smart contract auditing, allowing AI applications to directly 'connect' via standard lanes. For example, if an AI financial model requires 'user cross-chain risk preference data', it can directly obtain it by calling the API without having to 'take detours to find data'. There are already over 8,000 projects that have connected through these 'ramps', from Aave's cross-chain risk control to OpenSea's NFT asset pricing, all relying on this 'interchange' to operate.

It also actively connects to the 'main road network' to strengthen bridge value: deeply integrated with Base, $C is issued on the Base chain, leveraging Base's 200 milliseconds ultra-fast 'traffic conditions' to improve data transmission efficiency by another 30%, with 60% of AI projects in the Base ecosystem prioritizing this 'bridge'; becoming one of the first integrated projects in Coinbase CDP wallet, aiming to connect 110 million users' 'personal road networks' in the future, allowing end users to access bridge data; collaborating with Sui and Chainlink to complete the Move ecosystem 'on-ramps' and off-chain data 'side roads', avoiding 'bridge deck discontinuity'.

Using $C as the 'pass-through currency + maintenance fund' ensures that bridge builders can all 'share in the profits'.

The most ingenious design of Chainbase is to turn the $C token into the 'pass-through currency + maintenance fund' of the interchange—it's not just a simple trading target, but allows all participants in 'building bridges, maintaining bridges, and using bridges' to share in the profits, preventing them from 'leaving the scene' after the bridge is built. Token details come from the project white paper:

The total supply of C is 1 billion coins, and the TGE (Token Generation Event) will be completed in July 2025, with 65% invested in 'bridge maintenance and ecology': 40% goes to communities and projects that connect to the bridge (users share profits), 12% to data nodes maintaining the Hyperdata main bridge (bridge maintainers receive rewards), and 13% for airdrops (to attract more people to participate in bridge building). Nodes need to stake C to participate in 'bridge surface maintenance'; profits are not only based on the amount staked but also on data traffic— the more data running on the bridge and the more frequently AI applications are used, the more $C nodes receive.

Developers build 'bridges', and users participating in airdrop tasks (registration, KYC, testing feedback) can also earn C, and even the value generated from data circulating on the bridge (such as AI applications making profits from data) can be shared with users contributing data. Currently, the C/USDT trading pair on Binance has a 24-hour trading volume of approximately $47 million, accounting for 60% of total trading volume, making it the core circulation scenario for the 'pass-through currency'; the current price is between $0.2130 and $0.2925, although it has retraced about 55% from its historical high of $0.5445 on July 18, 2025, the fully diluted valuation (FDV) of $187 million to $282 million provides solid support for the 'bridge value'.

Where will this 'data interchange' lead in the future?

Based on Chainbase's public planning, this 'data interchange' will not stop at its current scale:

In the next 1-2 years, it will connect 'vertical domain road networks' such as IoT devices, supply chain logistics, and government compliance, transforming into a 'full domain network bridge' that integrates 'on-chain + off-chain + vertical industries'; at the same time, a 'privacy protection barrier' will be added—introducing ZKML (Zero-Knowledge Machine Learning) technology to enable sensitive data in medical and financial sectors to safely cross the bridge without worrying about 'data leakage'. It is expected that by 2026, the number of supported blockchains will exceed 500, and the 'lane capacity' for AI-ready data will increase by 300%, with transmission delays dropping from milliseconds to microseconds.

It will also extend 'off-ramps' to end users—relying on Coinbase CDP wallet's 110 million users to launch personal data 'bridge services': users authorize on-chain behavioral data, which can be used to obtain AI financial advice, personalized NFT recommendations through the bridge, and users can earn real-time $C profits from the value-added benefits of data flowing on the bridge. It is expected that by 2026, the number of developers in the ecosystem will exceed 50,000, with over 20,000 integrated projects, and over 10 million end users will form a closed loop of 'personal data - bridge - AI services - personal benefits'.

As the 'pass-through currency', C's value will also scale with the size of the bridge: 5% of API call fees ('bridge toll') will be permanently burned, making C scarcer as traffic increases; a dynamic reward mechanism will attract more nodes to maintain the bridge, making it more stable. According to industry forecasts, the price of $C is expected to reach $0.10-$1.00 in 2025, rising to $0.80-$1.50 in 2026, with a fully diluted valuation surpassing $1 billion, becoming the core value carrier of the 'data interchange'.

Conclusion

Chainbase is not just making 'data tools', but building an interchange that enables Web3 data to flow 'efficiently'—using Hyperdata as the main beam to unblock cross-chain bottlenecks, building bridges with tools and collaborations to lower access thresholds, and using C as the pass-through currency to allow participants to share in profits. Its competitiveness lies in the coverage of over 200 chains, the implementation of over 8,000 projects, the liquidity support from Binance, and the 'endorsement' from top venture capitalists such as Matrix Partners and Hash Global. Although C is currently retracing, as the integration of Web3 and AI deepens, this 'data interchange' will only become wider, serving as both the core infrastructure of the industry and the long-term dividends of DataFi that investors can seize.