In the Web3 data sector, "data value" often remains at the level of slogans: either it only addresses the tool problem of "how to extract data", or it relies on projecting "future earnings". The core competitiveness of Chainbase lies in building a complete and real link of "data from generation to monetization"—from efficient adaptation of multi-chain data, to secure rights confirmation, and finally to the practical execution of revenue distribution; every step is supported by verifiable data and real cases, avoiding conceptual gimmicks, and instead focusing on creating a closed loop that allows users, developers, and enterprises to obtain actual value, which is also key to matching the standards for evaluating high-quality projects.
1. First, make data "usable": multi-chain adaptation doesn't play the "quantity game", but addresses real pain points.
The first threshold for Web3 data is "multi-chain fragmentation". Many projects promote themselves by claiming to "support hundreds of chains", but the actual adaptation efficiency is low and the formats are incompatible. Chainbase's approach focuses on "quality over quantity", using technical breakthroughs to solve the core issue of "usability", and all results are validated through land-based projects.
Although its Hyperdata Network covers over 200 public chains and Layer 2s, it focuses on deep optimization for high-frequency scenarios: in the adaptation within Ethereum Layer 2 (like Base), it compresses cross-chain data synchronization delays to within 500ms through "dynamic sharding consensus + edge node pre-caching", achieving peak throughput of 100,000 TPS. This is not laboratory data—after Aave's integration, the speed of updating cross-Layer 2 collateral health data increased by 90%, and the bad debt rate directly decreased by 30%; Uniswap used it for cross-chain liquidity analysis, optimizing fund allocation efficiency by 25%, and these results can be found in the project party's community reports.
In response to the "format gap" in AI adaptation, the value of the Manuscript toolchain is far from hollow: it can automatically convert unstructured data such as hash logs and contract bytecode into structured tensors that include "address activity and asset correlation". Anthropic uses 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 released on Anthropic's official website, eliminating the concept of "AI adaptation" hype.
2. Next, make data "manageable": ensure rights security without "oral promises", only provide hard guarantees.
Once data can be used, the bigger challenge is "who owns it and how to use it safely". Many projects claim that "data belongs to users", but lack a real rights confirmation mechanism; when discussing security, they only mention "encryption", without compliance certifications. Chainbase's method is "technology + certification is solidly grounded", ensuring hard guarantees for data management.
In terms of rights confirmation, it builds an on-chain binding system of "data fingerprint - wallet address - smart contract": each piece of data generates a unique hash fingerprint upon creation, permanently binding it to the user's wallet address through a contract. Users can query data ownership in real-time via Chainbase Explorer. A certain Web3 KOL used this mechanism to confirm the rights of their on-chain social data and authorized its use to an NFT marketing platform, with all authorization records traceable on-chain, thus avoiding the risk of "data misuse".
Regarding security, it goes beyond just discussing "encryption" to implement a hybrid solution of ZK-SNARKs zero-knowledge proofs + Hardware Security Modules (HSM): when users prove data validity to third parties, they do not need to expose the original data; ultra-sensitive data (like medical records) is stored in HSMs, with keys never touching the internet. This solution has passed compliance certifications for EU GDPR and US CCPA—an European medical blockchain project uses it to handle patient treatment data, meeting privacy requirements while allowing AI models to train in encrypted states, with compliance documents available for download on the Chainbase website, rather than vague statements of "security compliance".
3. Finally, make data "profitable": revenue distribution doesn't depict a "future pie", but delivers real returns.
Once data can be managed, the core of the value loop is "how to make money". Many projects claim that "data can be monetized", but lack a specific distribution mechanism; they only say “the future is promising” regarding returns, without real-time payment examples. Chainbase's method is "mechanism + dual transparency", allowing returns to be visible and tangible.
Regarding revenue distribution, it designs an "automated profit-sharing through smart contracts" mechanism: when users authorize their data to be accessed, fees are automatically divided according to a preset ratio (60% for users, 20% for nodes, 10% for the ecosystem, and 10% for the foundation), with payments reaching users in seconds through Layer 2, and Gas fees ≤0.001C. A regular user authorized their DeFi trading data to a wealth management platform, with more than 2000 access calls each month, averaging 1200C received monthly, with earnings records verifiable on-chain, not just "expected returns".
The supporting C token ecosystem is also healthy enough: it has been listed on 14 mainstream exchanges including Binance and MEXC, with a 24-hour trading volume of the Binance C/USDT trading pair stabilizing above 47 million USD, maintaining a top-three depth in the data track; 65% of 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 3 years, while institutional holdings account for 41% (some sovereign fund holding addresses from the Middle East can be verified). By Q3 2025, the C flow generated solely from data interface calls reached 8 million tokens, providing a stable value carrier for "data monetization".
Conclusion: Once the link is established, the value of data truly flows.
The value of Chainbase has never been about "having one more feature than others", but rather about building a real link where "data can be used - managed - monetized". It doesn't engage in gimmicks like "multi-chain quantity", "AI concepts", or "security promises", but instead uses the reduced bad debt rate of Aave, the improved models of Anthropic, and the real $C earnings of users to prove that the value of data is not a future matter, but something that can be realized now.
With the upcoming launch of Hyperdata Network 2.0 (introducing cross-chain data sovereignty protocols), this link will be further refined—data can circulate across chains, and earnings can be distributed across ecosystems. When Web3 data is no longer just "characters lying on the chain", but can provide actual value to everyone, the industry can truly transition from "financial tools" to "value networks", and Chainbase is the "key builder" of this link.
