GuShiio.com AI Agents not only need to overcome the phased challenges of market sentiment repair, but also must solve the long-term issue of continuing to attract liquidity in volatile markets. In this process, DIN provides a comprehensive infrastructure for AI agents and dAI-Apps by solving key issues such as data and execution environment, thereby promoting the implementation and expansion of AI agents in the chain economy.
Author: Nancy, PANews
In recent days, the MEME coin TST, which was “named” by CZ, has become popular. While its market value has skyrocketed for a short time on Binance, it has also driven the BNB Chain ecosystem back to market focus again. In this wave of market craze, DIN has been a builder of the BNB Chain ecosystem for many years and has been officially recognized and supported by Binance. This year, the project announced the launch of the AI Agent blockchain and officially launched TGE (Token Generation event) on February 14.
AI Agent is a popular track nowadays, and the market has long been “full of smoke”. DeepSeek, which has recently been strongly screened, has accelerated the reconstruction of the AI landscape and verified a profound AI industry law: in technology-driven competition, technology itself is not the only key factor that determines the outcome. Cost control and efficiency improvement are the core competencies.
This also applies to the AI Agent field in the world on the chain. As one of the core drivers of this round of encryption cycle, Web3 AI Agents have attracted a lot of attention and funding due to their autonomy, intelligence and collaborative capabilities. However, in order to truly become a mainstream participant in the on-chain economy, AI Agents not only need to overcome the phased challenges of market sentiment repair, but also must solve the long-term problem of continuing to attract liquidity in a volatile market. In this process, DIN provides a comprehensive infrastructure for AI agents and dAI-Apps by solving key issues such as data and execution environment, thereby promoting the implementation and expansion of AI agents in the chain economy.
From data processing to agent construction, buildingAI AgentDedicated infrastructure
“No one can get everything done before going to bed at night, and companies spend a lot of time monitoring things. Creating artificial intelligence agents can not only replace some work and assist enterprises in testing, but also improve work efficiency and save time.” Gene Alvarez, vice president analyst at Gartner, once pointed out that AI agents are being deeply integrated into our daily lives. According to Gartner, by 2028, at least 15% of daily work decisions will be made autonomously through artificial intelligence agents.
Compared with AI Agents in the Web2 world, data storage and reasoning verification problems can be effectively solved in the blockchain environment.off-chain storage protocol(such asIPFS, Arweave, etc.), AI Agents can access large-scale, dynamically changing data while ensuring the integrity and immutability of the data. Through technologies such as zero-knowledge proof (ZKP) or trusted execution environment (TEE), blockchain provides verifiability for AI’s reasoning process, enhances the transparency and auditing capabilities of the system, and avoids the emergence of “black box” problems.
At present, AI Agents in the field of encryption are developing rapidly. In addition to MEME, such as frameworks, Launchpads and various application projects are also continuing to emerge, gradually improving this track. According to Messari’s forecast, it is expected that by the end of 2025, 90% of on-chain transactions will no longer be manually operated by humans, but will be automatically executed by a group of AI Agents.
However, the rise of diverse applications such as intelligent transactions, data analysis, and complex decision support systems has also posed more comprehensive challenges to AI Agent infrastructure. For example, because many AI Agents operate independently, it is difficult to efficiently collaborate between different platforms, protocols, or chains, and cannot effectively share information or coordinate actions. At the same time, because data is scattered in different chains or platforms, AI Agents cannot make full use of the diverse data sources on and off the chain. The lack of this effective integration mechanism creates a data island effect, making it difficult for AI Agents to obtain comprehensive and timely market data, which limits their decision-making ability and performance. This is also an important reason why previous analysis by AI Agents such as AIXBT was not always accurate. And while AI Agents rely on high-quality data input, how to share data efficiently and securely is a huge challenge. Especially in the encrypted dark forest, cross-platform or cross-chain data sharing becomes complex and lacks standardization. Standardized data formats and interfaces also make data exchange inefficient. In addition, the lack of transparency also prevents users and developers from understanding AI’s decision-making process and behavioral logic, and even brings unnecessary risks and misoperations.
In order to better leverage the technical potential of AI Agents, DIN has created a special infrastructure to meet requirements such as data processing needs, intelligent decision-making, computing power and multi-agent collaboration.
In terms of security, it is well known that when AI agents perform decisions on the chain, ensuring the credibility and transparency of the decision-making process is crucial to building user trust and ensuring the fairness of the system. To this end, DIN provides decentralized security through its consensus layer based on OP Stack and built with BNB Chain security. This layer ensures the transparency and immutability of operations and decisions, providing a reliable execution environment for AI Agents.
In terms of data processing, high-quality data is the foundation for AI Agents to make intelligent decisions, and strong data support and management capabilities are the key to ensuring that these data can effectively support AI Agents ‘decisions. Faced with complex blockchain environments, DIN’s data layer can provide efficient on-chain and off-chain data processing, support the development of AI dApps and AI Agents, and provide real-time data support for large-scale AGI models and AI Agents. Currently, DIN has attracted more than 30 million registered users and processed and stored more than 100 million encrypted tweets on the chain. These data are securely stored on BNB Greenfield, where users can be rewarded for their contributions.
In the creation and deployment of AI agents, developers often face high technical thresholds, which usually involve complex model development, blockchain smart contract writing, data processing, and security design. The DIN service layer provides LLMOps for model deployment and operation, Prompt as a Service and Agentic Workflow to support prompt engineering, simplifying the creation and deployment process of AI agents, allowing them to efficiently perform complex tasks. At the same time, DIN’s service layer supports multi-agent collaboration through RAG (Retrieval Enhanced Generation) and Agentic Workflow, which can improve efficiency, optimize decision-making in different fields and application scenarios, and achieve smarter behavior in complex environments. Among them, RAG can provide efficient knowledge search, indexing and retrieval to promote data sharing and collaboration between different AI Agents;Agentic Workflow provides a visual workflow interface to help build and manage complex tasks of multi-agent collaboration and support seamless cooperation between agents.
It is worth mentioning that DIN is supported by NodeReal. This Rollup service provider can provide high-performance API services and one-stop application chain solutions. It has the advantages of low Gas fees and high throughput, which can reduce user participation thresholds and meet the needs of AI data scenarios. High-frequency operation needs. At the same time, NodeReal is a strategic partner of the BNB ecosystem, bringing user and developer resources to the BNB ecosystem.
Four core applications have been launched and TGE has been officially launched
AI Agent is not just a technical tool, its core value lies in how to integrate these capabilities into a broader ecosystem and create a new value stream. At present, DIN has made substantial progress in AI Agent applications, launching four independently developed dApps and achieving remarkable results.
Among them, Analytix is an on-chain data analysis platform, mainly used to help users create detailed dashboards to analyze on-chain activities. Its customers include BNB Chain, Moonbeam and Manta Network;Reiki combines AI with user-generated content (UGC) to provide creators with customized AI Agent and dataset management capabilities, and has achieved significant success on Product Hunt, winning the first place in “Daily Product” and “Monthly Product”, and ranking third in the year-end ranking in 2024; xData, a revolutionary AI data collection tool, has attracted more than 30 million registered users and partnered with AISpeech, OKX Wallet and Mantle. After completing data collection through xData, DIN also launched Chipper Node as a data validator to achieve high-quality AI data sets. According to the official introduction, Chipper Nodes is the central hub for DIN data processing. Node holders can verify, classify, clean and enhance raw data, realize data verification and vectorization, and ultimately generate data to be fed to AI. Of course, node holders can also receive DIN tokens as a reward during the mining process. According to the official website, Chipper Nodes currently has more than 56,000 node holders, of which more than 40,000 nodes are running simultaneously.
From this point of view, these dApps not only demonstrate the actual implementation of DIN’s collection, storage and application of on-chain and off-chain data, but also provide rich value for BNB Chain’s commercial use cases, thereby promoting the development and innovation of the entire AI Agent track.
In addition to incubating products inward, DIN also continues to expand its influence in the AI Agent ecosystem through a series of external collaborations. For example, in December last year, DIN announced a partnership with AI-driven MEME coins BANANAS31 on BNB Chain. The latter relies on AI technology to analyze market trends and user behavior to achieve data-driven innovative development. DIN provides high-quality real-time data support for BANANAS31, as well as AI data-driven insights and suggestions. In January this year, DIN teamed up with Santa by Virtuals to launch a special New Year event; in February, DIN and Kappa reached a partnership to help Kappa evolve into a smarter multi-body agent system (MAS) through its AI solutions and bring richer interactive experience.
Of course, for Chipper Node, DIN’s AI data verification and vectorization processing node, there are currently more than 50k node holders around the world, and more than 40k nodes are running at the same time, contributing to data processing in the DIN ecosystem. Sustainable computing power
In order to promote the development of the DIN ecosystem and inspire all contributors, DIN launched token economics and launched TGE on February 14. According to the official introduction, the total supply of DIN tokens is 100 million, of which 41.5% are allocated to the community, 17.5% are teams and consultants, 20% are classified as ecosystems, 16% are early supporters, and the remaining 5% are used for market makers and liquidity.
For ecological contributors, DIN has launched the $DIN token airdrop query page. The airdrop will be divided into two phases: the first phase: open to xDIN holders and Chipper node holders. Users can check the airdrop share from February 11 and start applying from February 14. Phase 2: Open to participants in Binance Wallet Airdrop and DIN Test Network activities. Inquiries and applications will be conducted simultaneously within 7 days after TGE.
As the ecological builder of BNB Chain, the DIN project has also received official support and recognition from BNB Chain. For example, DIN is the only project supported by BNB faucets. Previously, users could receive DIN test network tokens through faucets and directly participate in the DIN ecosystem; DIN is the official storage provider of BNB Greenfield, and all AI data is stored on Greenfield.
In addition, in terms of financing, DIN has also received strong support from multiple investment institutions. To date, DIN has completed US$8 million in financing, including a US$4 million seed round in July 2023, with the participation of YZi Labs (Binance Labs), HashKey Capital, NGC Ventures, etc.; and another US$4 million round in August 2024, with participants including Manta Network, Moonbeam, and Ankr.
In general, AI Agents are accelerating to become the main narrative line of the encryption market, gradually breaking through the scope of traditional MEME coins, and moving towards a more pragmatic and extensive application stage. As projects like DIN gradually lay a solid foundation, solving core requirements from data processing to intelligent decision-making, and cross-platform collaboration, and developing from basic technologies to upstream applications, the popularity and application scenarios of AI Agents will continue to expand. A technological frontier is also easier to “fly into the homes of ordinary people.”
