In the Web3 data track, many projects' value is like 'one-time fireworks'—attracting attention with a single function but struggling to sustain growth. Chainbase's core innovation is to create a 'snowball' model of data value: first, solidify the 'snowball core' with robust technology, then leverage ecosystem circulation to make the 'snowball roll', and finally use value feedback to make the 'snowball grow bigger'. This logic of 'solid foundation, smooth circulation, and rapid value addition' not only transforms data from 'static resources' into 'dynamic assets' but also precisely aligns with the core judgment standards of high-quality projects regarding technology, market, and ecosystem, becoming the key to its continuous breakthroughs in the track.
One, solidifying the 'snowball core': technological strength is the foundation of value growth.
The premise for rolling the snowball is 'hard core'—if the underlying technology is not solid, data cannot be stored securely nor called efficiently, making subsequent circulation and value addition mere talk. The 'snowball core' of Chainbase is a technology system centered around Hyperdata Network, with each capability having verifiable results, not just 'laboratory concepts'.
First is 'cross-chain integration hard power', which has covered over 200 public chains and Layer 2s such as Ethereum, Base, and Sui, using 'dynamic sharding consensus + edge node pre-caching' technology to solve the 'slow, scattered, and chaotic' issues of multi-chain data. During the peak period of NFT Mint on the Base chain in 2025, single-chain data requests surged by 300%, and the system completed sharding expansion within one minute, keeping synchronization delay under 500ms, with peak throughput reaching 100,000 TPS. To date, it has processed over 500 billion data calls with zero downtime and an error rate of less than 0.01%—this is not just talk, but the verification results of long-term use by leading DeFi protocols such as Aave and Uniswap, directly helping these protocols reduce cross-chain data interaction costs by 40%, solidifying the technological foundation of the 'snowball'.
Secondly, there is 'true capability for AI adaptation'; addressing the pain point of 'unstructured, hard-to-reuse' on-chain data, the Manuscript toolchain can automatically transform hash logs and contract bytecode into structured tensors containing 'address activity, asset correlation'. Anthropic used this data to train Web3 smart contract vulnerability detection models, reducing preprocessing time from 72 hours to 4 hours, and increasing accuracy from 54% to 89%; relevant test reports have been publicly disclosed on the Anthropic website. This seamless connection of 'data-model' allows the technological core not only to 'store data' but also to 'use data', laying the foundation for subsequent value rolling.
The last is 'security and compliance hard guarantee', which introduces a hybrid solution of ZK-SNARKs zero-knowledge proof and hardware security modules (HSM), already certified for compliance with EU GDPR and US CCPA. A certain European healthcare blockchain project uses it to process patient treatment data, meeting privacy requirements while allowing AI models to train in an encrypted state; compliance documents can be queried on the Chainbase official website. The secure and compliant technological foundation ensures that the 'snowball core' can withstand market scrutiny and will not 'shatter' due to security vulnerabilities.
Two, making the 'snowball roll': ecosystem circulation is the driving force for value expansion.
With a solid core, a 'suitable snowfield' is needed for the snowball to roll—here, the 'snowfield' is the data circulation ecosystem. If data can only be used on a single chain or in a single scenario, its value will be limited; only by breaking down barriers and allowing data to flow across chains and scenarios can value accumulate like snow sticks to a snowball. The 'circulation ecosystem' of Chainbase is to build 'barrier-free channels' for data, enabling sustained value accumulation.
The first is 'cross-chain circulation without barriers', and its 'data identity mutual recognition mechanism' allows data to flow smoothly across multiple chains: data NFTs verified on Ethereum do not need to be re-verified on the Base chain, just pass through the 'cross-chain verification gateway' to complete identity synchronization within 10 seconds, retaining data attributes (ownership, compliance status) completely. After a certain cross-chain NFT platform adopted this solution, users' collectible data on Ethereum can be directly used in the metaverse scenario on the Base chain, with data circulation efficiency improved by 300%, eliminating the need for 'one chain one set of data', allowing the 'snowball' to roll across chains.
The second is 'transaction circulation has rules'; the launched 'data asset trading market' is not a simple 'listing for sale', but has designed a 'dynamic profit-sharing' mechanism: each time data circulates (for example, from platform A to platform B, from DeFi to AI scenarios), the profit-sharing ratio will be adjusted based on the scene value—10% increase for flows toward financial-grade scenarios (like DeFi liquidation), while maintaining the basic ratio for ordinary query scenarios. A user's DeFi trading data authorized 60% of the profit to a wealth management platform, which then authorized the data to an AI institution after desensitization, allowing the user to earn an additional 30% secondary profit, achieving 'once verification, multiple earnings', so that the 'snowball' can pick up 'new snow' with each roll.
The third is 'stable circulation carriers'; the native token C is the core 'fuel' for data circulation—users authorize, developers call, and institutions procure all need to settle with C. Currently, $C has been listed on 14 mainstream exchanges including Binance and MEXC, with the trading volume of the Binance C/USDT trading pair remaining stable at over $47 million within 24 hours, consistently ranking in the top three in the data track; 65% of the token distribution is directed towards the ecosystem (40% for developer incentives, 12% for node rewards, 13% for airdrops), with only 15% allocated to the team and locked for three years, while institutional holdings account for 41% (the holdings address of a certain Middle Eastern sovereign fund can be checked). Stable liquidity and a healthy token ecosystem provide continuous 'power fuel' for the snowball to roll, preventing stagnation due to carrier fluctuations.
Three, making the 'snowball grow bigger': value feedback is key to sustained value.
For the snowball to grow bigger, it needs 'new snow to grow where it has rolled'—that is, data value feedback to the ecosystem, attracting more users, developers, and institutions to participate, forming a positive cycle of 'value addition - feedback - more value addition'. Chainbase's 'value feedback mechanism' allows every participant to benefit from data growth, thus promoting the sustained expansion of the 'snowball'.
For users, feedback is 'revenue upgrade + authority enhancement': in addition to the profit-sharing from each circulation, the more times the data circulates and the higher the value created, users can unlock the 'high-quality data creator' identity, with subsequent profit-sharing ratios increasing by 5%-10%, and can also participate first in new scenarios (like cross-border data circulation). A user's NFT collection data was called by 10 platforms, earning a total of 23,000 $C, and also unlocked the 'priority circulation right for cross-chain data', allowing the data to enter high-value scenarios first when a new chain is launched, leading to continuous revenue growth.
For developers, feedback is 'incentive enhancement + tool iteration': Chainbase uses a reward fund of 400 million C, distributing rewards based on 'call volume + user rating', and high-quality tools can also receive 'ecosystem recommendations'. A cross-chain data indexing tool developed by a certain team improved its call efficiency by 200% after three iterations, with monthly incentives increasing from 50,000 C to 150,000 $C; at the same time, the ecosystem will fund developers to optimize tools based on data flow pain points (such as low adaptation efficiency of the Solana chain), forming a cycle of 'tools are easy to use - high call volume - more incentives - better tools', making the 'rolling channel' of the 'snowball' smoother.
For institutions, feedback is 'cost reduction + resource expansion': Web3 institutions like Aave use data to reduce bad debts by 30%, OpenSea uses data to increase trading conversion rates by 15%; traditional enterprises like automotive parts suppliers use data verification to obtain low-interest financing, and medical alliances use data compliance to improve AI diagnostic accuracy. These institutions, having gained real benefits from data value addition, are more willing to integrate their own resources (such as customers, scenarios) into the ecosystem; for example, a certain European environmental organization recommended the EU carbon market platform to join after circulating carbon data, allowing the 'snowball' to roll into new 'snowfields', further expanding value.
Conclusion: Snowball growth is the long-term path for the data ecosystem.
Chainbase's 'snowball' model is essentially a positive cycle of 'technology foundation - circulation expansion - value feedback': the technology core is hard enough for data to circulate securely; with a smooth circulation mechanism, data can accumulate value; and with adequate value feedback, the ecosystem can continue to participate. This model not only solves the old problems of Web3 data 'not lasting long, not flowing, and not earning much', but also precisely fits the core judgment standards of high-quality projects for 'solid technology, healthy market, and sustainable ecosystem'.
With the subsequent launch of Hyperdata Network 2.0 (introducing a cross-chain data value scoring system), the number of data circulation and generated revenue will convert into 'value scores'. The higher the score, the more circulation opportunities the data flow can obtain, further enhancing the efficiency of the 'snowball' rolling. When the value of data can continuously expand like a snowball, Web3 can truly transform from a 'data storage network' into a 'data value network', and Chainbase is the 'snowballer' of this value revolution.
