During the "data bottleneck period" in the integration of Web3 and AI, developers generally face three major dilemmas: cross-chain data needing to connect to multiple interfaces, AI models struggling to obtain structured on-chain data, and a lack of a fair mechanism for data value distribution. Chainbase, founded in 2021, leverages the core technology of Hyperdata Network to upgrade data infrastructure from a "dispersed tool collection" to a "full-link value hub," not only solving the underlying problems of Web3 data storage and querying but also constructing a value closed loop of "data-AI-ecosystem." This article will analyze how Chainbase has become the "core player" in the data infrastructure track from five dimensions: project positioning, technical hard power, ecological landscape, community tokens, and financing prospects, all based on publicly available project reports, on-chain data, and industry disclosures, with no fiction involved.
1. Project positioning: Not just a "data tool," but the "data foundation layer" for Web3 + AI
From its inception, Chainbase has jumped out of the shallow positioning of being a "single data query tool" and pointed directly at the "infrastructure gap" of the Web3 + AI ecosystem—when DApps need cross-chain asset data and AI models require on-chain behavioral features, traditional solutions either require significant costs to build data crawlers and cleaning systems or suffer from a drastic decline in development efficiency due to inconsistent data formats (according to industry statistics, the data adaptation phase accounts for 45% of the development cycle in Web3 + AI projects).
Based on this, Chainbase clarifies the core positioning of the "DataFi era foundation layer," with the primary goal of "enabling Web3 data to be accessed and utilized instantly and allowing AI to connect to Web3 data with 'zero threshold'." Its product matrix forms a closed loop around this goal:
• Hyperdata Network: The "technical core" of the platform, responsible for capturing real-time data (transaction details, contract status, asset holdings, etc.) from over 200 public chains/Layer 2s such as Ethereum, BNB Chain, Sui, and Base across 12 dimensions, converting it into structured, verifiable "AI-ready" data, effectively serving as the "processing and scheduling hub" for data;
• Standardized API/SDK: Providing "plug-and-play" interfaces for high-frequency scenarios such as DeFi (risk control, liquidity monitoring), NFT (valuation, turnover tracking), and AI (model training), allowing developers to obtain cross-chain data without worrying about data sources and formats, resulting in a 400% increase in development efficiency;
• Manuscript tool suite: A "key lever" to reduce development thresholds—GUI visualization tools support drag-and-drop generation of data call logic (e.g., "cross-chain user asset feature queries" can be done in just 3 steps); CLI command-line tools cater to professional developers, enabling non-technical teams to quickly build data-driven Web3 + AI applications.
As of publicly available data, Chainbase has cumulatively processed over 500 billion data calls, serving over 20,000 developers; its "foundation layer" positioning allows it not to rely on a single scenario but to be deeply tied to the overall growth of the Web3 + AI ecosystem, providing long-term risk resistance.
2. Technical hard power: The "three core barriers" of Hyperdata Network directly address industry pain points
Chainbase's ability to stand out in the data infrastructure track is primarily due to Hyperdata Network's establishment of three technical barriers: "efficiency, compatibility, and security" that directly address the long-standing pain points in the industry:
1. Data integration efficiency: 200+ chains "captured in one go," with 100ms latency supporting large-scale demand
The most core advantage of Hyperdata is its "multi-chain data unified integration and scheduling"—through a distributed node network (with peaks exceeding 5,000 nodes), it captures multi-chain data in real-time and automatically associates cross-chain data through a "same-source data correlation algorithm" (e.g., a single user's USDT holdings on Ethereum and Base will be integrated into a "cross-chain asset panoramic view"), avoiding the need for developers to repeatedly query raw data from different chains.
In terms of performance, Hyperdata's performance is considered the industry benchmark: cross-chain data response latency remains stable within 100 milliseconds, supporting tens of thousands of concurrent requests per second, having cumulatively processed over 500 billion data calls, sufficiently meeting the real-time data needs of leading DApps such as Uniswap, Aave, and large-scale AI models (e.g., real-time risk control AI), far exceeding traditional data projects (with an average latency of over 500 milliseconds).
2. Cross-chain compatibility: New chains can be accessed in 7 days, breaking the "data islands"
One of the biggest pain points of Web3 data is the "incompatibility of inter-chain protocols"—traditional data platforms require more than a month to adapt to a new chain, but Hyperdata allows for "lightweight access protocols (LAP)" that do not require modifications to the underlying code of new chains; only standard adaptation modules need to be deployed to complete interface connections, reducing the new link access cycle from one month to seven days.
In addition, Hyperdata has reached a protocol-level collaboration with Chainlink Scale, incorporating off-chain institutional-level data such as macroeconomic indicators and asset safety ratings through a "chain on + chain off data fusion protocol (ODFP)" to form a composite data pool—for example, DeFi risk control models can directly call "on-chain transaction data + Chainlink macroeconomic data," improving the prediction accuracy of bad debt rates by 15%-20%, filling the gap of "on-chain data singularity."
3. Decentralized security: Staking + verification mechanisms ensure data reliability
As a decentralized data platform, Hyperdata builds a security system through "PoS staking + DPoS consensus":
• Nodes must stake $C tokens to participate in data collection and verification; at least 3/4 of the nodes must verify each batch of data for it to enter the network, ensuring data authenticity;
• If nodes submit tampered data or delay responses, their staked $C will be automatically deducted by smart contracts, and they will be blacklisted, effectively eliminating "data fraud" from the system;
• Introducing the "AVS layer (Active Validation Service)" to verify results and record them on-chain in real-time (primarily stored on the Base chain), allowing any developer to query data sources and verification records, ensuring data is "traceable and verifiable."
3. Ecological landscape: 20,000 developers + 8,000 projects "build walls," leading partnerships open up growth space
The value of a data infrastructure ultimately depends on the "breadth" and "depth" of its ecosystem. Chainbase has built one of the most active ecosystems in the Web3 data field through a dual-driven approach of "developer empowerment + leading partnerships":
1. Ecosystem scale: Covering all scenarios, with over 8,000 projects relying on it
As per publicly available reports, Chainbase's ecosystem has formed a positive cycle of "developers-projects-users":
• On the developer side: Serving over 20,000 developers, with 40% focusing on AI-driven Web3 applications (e.g., AI investment tools, smart contract auditing AIs); these developers have shortened the data-related development cycle from 15 days to 2 days using the Manuscript tool;
• Project level: Over 8,000 projects have been integrated, covering three core scenarios—
◦ In the DeFi field: Leading protocols like Uniswap and Aave use it for cross-chain asset monitoring and risk control;
◦ NFT field: OpenSea and Blur use it for NFT valuation and abnormal transaction tracking;
◦ In the AI field: Over 300 AI models use it for structured data training, with model iteration efficiency improving threefold;
• In terms of data demand: The average daily data call volume exceeds 1 billion, with a cumulative processing of over 500 billion, sufficiently demonstrating the market's strong demand for its data services.
2. Leading partnerships: Deeply bind to the core ecosystem, seizing traffic entry points
Chainbase's cooperation is not merely "surface-level interaction" but rather delves into the core systems of its partners to obtain key traffic and resources:
• "Underlying integration" with the Base chain: As the officially recommended data protocol for Base, Hyperdata's interface has been embedded in Base's OP Stack; 60% of AI projects within the Base ecosystem (e.g., cross-chain lending risk control tools) rely on its data services, and data call frequency accounts for 28% of the total demand in the Base ecosystem, allowing Base developers to directly call cross-chain data through OP Stack without additional deployment of adaptation modules;
• C-end penetration with Coinbase CDP wallet: As one of the first data partners of Coinbase's embedded wallet (CDP), Chainbase is expected to reach 110 million Coinbase users in the future—once users authorize on-chain data, they can receive real-time AI investment recommendations and personalized asset allocation plans based on Hyperdata, opening up a C-end traffic gap for Chainbase and extending from B-end to C-end.
• "Complementary capabilities" with Chainlink: By connecting off-chain institutional-level data through Chainlink Scale, it enhances data richness; at the same time, leveraging Chainlink's decentralized node network improves the security of cross-chain data verification, forming a "chain on + chain off" data closed loop.
4. Community and tokens: 13% airdrop activates participation, $C token builds a value closed loop
The community vitality of Chainbase and the economic design of the $C token are the "power source" for the long-term operation of the ecosystem—the former ensures the continuous participation of users and developers, while the latter ensures the decentralization of the ecosystem and fair distribution of value:
1. Community operations: Multi-level incentives to activate ecosystem vitality
Chainbase maintains high community activity through a three-pronged approach of "airdrop + developer incentives + social operations":
• Airdrop plan: 13% of the C token is used for airdrops, distributed over three seasons, with the first season's 3.5% having started in July 2025 (including 2% for community incentives + 1.5% for Binance Alpha rewards); users can earn C by registering, completing KYC, and testing features (like using the Manuscript tool), attracting over 500,000 users to participate so far;
• Developer incentives: 40% of the C token is used for incentives for developers and projects—developing data tools, accessing data services, and submitting ecological optimization suggestions can all earn C rewards; for example, a team-developed "NFT AI valuation template" was reused by over 1,000 projects, earning a reward of 100,000 $C;
• Social operations: Frequently updating technical progress and ecosystem dynamics on Twitter (X), Discord, Telegram, etc., regularly hosting "developer competitions" and "data application hackathons"; currently, the Twitter account @ChainbaseHQ has accumulated over 100,000 followers, with community interaction rates ranking in the top three among DataFi projects.
2. $C token: Function and economy in a dual closed loop, providing support for long-term growth
$C, as the native utility token of the Chainbase ecosystem, has a total supply of 1 billion, with TGE completed in July 2025. Its design balances "functional needs" and "economic security":
• Core functionality: Covering the entire ecosystem—
◦ Payments: Developers need to pay $C to call APIs and query datasets; 5% of the payment fees are permanently destroyed, reducing circulation;
◦ Incentives: Data nodes, developers, and validators earn $C rewards through contributions, with rewards linked to data call volume and project influence;
◦ Staking: Nodes must stake $C to participate in data verification; the higher the staking amount, the more verification rights and rewards;
◦ Governance: $C holders can vote to decide on protocol upgrades and adjustments to the reward mechanisms (e.g., optimizing directions for AI data features);
• Economic model: 65% of tokens are used for the ecosystem (40% for developers + 12% for nodes + 13% for airdrops), and 35% for long-term development (17% for investors with a 3-year linear unlock, 12 months of lock-up + 15% for the team with a 3-year linear unlock + 3% for initial liquidity), to avoid short-term selling pressure and ensure the long-term stability of the ecosystem;
• Market performance: As of August 2025, the price range of $C is $0.2130-$0.2925, down approximately 55% from the historical high of $0.5445 on July 18, 2025; fully diluted valuation (FDV) is between $187 million and $282 million, lower than similar data projects (e.g., The Graph FDV is about $1.2 billion); 24-hour trading volume exceeds $47 million, with the C/USDT trading pair on Binance accounting for 60% of total trading volume, indicating ample liquidity;
• Price prediction: According to industry reports, the price of $C is expected to range from $0.10 to $1.00 by 2025 (depending on the speed of ecosystem expansion), and if Web3 + AI data demand explodes in 2026, the price is expected to rise to $0.80 to $1.50; the core logic is that the market for Web3 + AI is expected to exceed $10 billion by 2025, and Chainbase, as a leader in data infrastructure, will directly benefit.
5. Financing endorsement and future prospects: Top VCs backing, three major benefits supporting long-term growth
Chainbase's rapid rise is inseparable from endorsements from top capital; its future potential depends on the resonance of technological iteration, ecological expansion, and industry demand:
1. Financing endorsement: Over 20 top VCs involved, capital recognition at its peak
Although Chainbase has not disclosed the specific total amount of financing, the list of investors is quite "luxurious"—over 20 well-known VCs including Matrix Partners, Hash Global, Folios Ventures, JSquare, DFG, Mask Network, and ZhenFund have all participated in the investment. These institutions not only provide financial support but also bring key industry resources:
• Matrix Partners assists Chainbase in connecting to the Base ecosystem, accelerating underlying integration;
• Hash Global helps expand into the Asian market, attracting more developers and projects;
• Mask Network promotes its application in the Web3 social field, enriching data scenarios.
2. Core benefits: Three major advantages construct a "moat"
Chainbase's long-term growth relies on three irreplaceable advantages:
• Technological first-mover advantage: Hyperdata's cross-chain integration and AI adaptation capabilities are industry-leading; subsequent projects must be compatible with its protocol to access the ecosystem, creating "path dependency";
• Ecosystem network effect: The scale of 20,000 developers + 8,000 projects makes new developers more willing to choose Chainbase (more complete data, more mature tools); the addition of new projects will attract more users, creating a positive cycle;
• Explosive industry demand: The fusion of Web3 and AI is an irreversible trend, and "high-quality data" is the core fuel for this integration—according to predictions, by 2025, the market size for Web3 data services will exceed $5 billion; as a leading player, Chainbase is expected to capture over 20% of the market share.
3. Future planning: To become the world's largest decentralized data infrastructure platform by 2027
According to Chainbase's publicly available roadmap, its long-term development focuses on three major directions:
• Comprehensive data coverage: The number of supported data sources will exceed 50 by 2026 (introducing new data sources such as IoT, supply chain, and government data), incorporating ZKML technology to ensure data privacy in sensitive areas like healthcare and finance, with data response latency reduced to within 50 milliseconds;
• C-end ecosystem activation: Relying on the Coinbase CDP wallet, it launches "personal data services"—users authorizing on-chain data can receive $C revenue sharing, setting their own data authorization scope (e.g., only opening "historical transaction trends"), aiming to reach 10 million C-end users by 2026;
• Industry standard setting: Collaborate with the Ethereum Foundation, Chainlink, and leading AI companies (such as Anthropic) to release (Web3 + AI data protocol specifications), with a target to process 20 trillion data calls by 2027, serving over 1 billion users and becoming the largest decentralized data infrastructure platform in the world.
Summary: Chainbase—The "long-term value target" for Web3 + AI data infrastructure
The core value of Chainbase lies in the fact that it is not a "short-term popular data tool" but a "cornerstone of infrastructure" for the Web3 + AI ecosystem—when the entire ecosystem needs "high-quality data fuel," its value will continue to be released with industry growth. From a technical perspective, the three capabilities of Hyperdata: efficiency, compatibility, and security build an insurmountable barrier; from an ecological perspective, 20,000 developers + 8,000 projects + leading partnerships create a powerful network effect; from a token perspective, a reasonable economic model and real demand support long-term logic; from a capital perspective, endorsements from top VCs provide resources and a foundation of trust.
Although the current price of $C is in a correction cycle, this is more a short-term fluctuation of market sentiment rather than a fundamental change in project value. For investors and developers who plan to invest in Web3 + AI in the long term, Chainbase's core attraction lies in: it is the "necessary path" connecting Web3 and AI. As the industry's integration deepens, its position as a "data hub" will become increasingly irreplaceable, and it is expected to become the "industry standard setter" in the field of Web3 + AI data infrastructure.
