Author: Nancy, PANews
In recent days, the MEME coin TST, which was "named" by CZ, has become popular, and its market value has soared after being listed on Binance. At the same time, it has also brought the BNB Chain ecosystem back into the market spotlight. In this wave of market enthusiasm, DIN is a long-term builder of the BNB Chain ecosystem and has received official recognition and support from Binance. This year, the project announced the launch of the AI Agent blockchain and officially kicked off the TGE (Token Generation Event) on February 14.
AI Agent is a popular track at the moment, and the market has already "ignited". The recent strong DeepSeek has accelerated the reconstruction of the AI landscape, also verifying a profound AI industry rule: in technology-driven competition, technology itself is not the only key factor in determining victory, but cost control and efficiency improvement are the core competitiveness.
This also applies to the AI Agent field in the on-chain world. As one of the core driving forces of this crypto cycle, Web3 AI Agent has attracted a lot of attention and capital with its autonomy, intelligence, and collaboration capabilities. However, to truly become a mainstream participant in the on-chain economy, AI Agent not only needs to overcome the stage challenges of market sentiment recovery, but also must solve the long-term issue of continuously attracting liquidity in a volatile market. In this process, DIN solves key problems such as data and execution environment, providing comprehensive infrastructure for AI agents and dAI-Apps, thereby promoting the implementation and expansion of AI Agent in the on-chain economy.
From data processing to intelligent agent building, creating a dedicated infrastructure for AI Agent
"No one can complete all the work before going to bed at night, and enterprises also need to spend a lot of time monitoring things. Creating AI agents can not only replace some work and assist enterprises in detection, but also improve work efficiency and save time," said Gartner Vice President and Analyst Gene Alvarez, pointing out that AI agents are deeply integrated into our daily lives. According to Gartner's forecast, by 2028, at least 15% of daily work decisions will be made autonomously by AI agents.
Compared to AI agents in the Web2 world, the blockchain environment can effectively solve the problems of data storage and reasoning verification. Through off-chain storage protocols (such as IPFS and Arweave), AI agents can access large-scale, dynamically changing data, while ensuring the integrity and immutability of the data. And through technologies such as zero-knowledge proof (ZKP) or trusted execution environment (TEE), blockchains provide verifiability for the reasoning process of AI, enhancing the transparency and auditability of the system, and avoiding the "black box" problem.
At the current stage, the development of AI agents in the crypto field is rapid. In addition to MEME, various framework, Launchpad, and application-type projects are also emerging, gradually improving this track. According to Messari's forecast, 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 emergence of diverse applications such as intelligent trading, data analysis, and complex decision support systems also poses more comprehensive challenges to the AI agent infrastructure. For example, since many AI agents operate independently, it is difficult for them to collaborate efficiently across different platforms, protocols, or chains, and they cannot effectively share information or coordinate actions. At the same time, due to the scattered data in different chains or platforms, AI agents cannot fully utilize the diverse data sources on-chain and off-chain, and the lack of an effective integration mechanism has created a data island effect, making it difficult for AI agents to obtain comprehensive and timely market data, which is also why previous AI agent analyses like AIXBT were not always accurate. Moreover, while AI agents rely on high-quality data inputs, how to efficiently and securely share data is a huge challenge, especially in the crypto "dark forest", where cross-platform or cross-chain data sharing becomes complex, and the lack of standardized data formats and interfaces also reduces the efficiency of data exchange. In addition, the lack of transparency also hinders users and developers from understanding the decision-making process and behavioral logic of AI, and even brings unnecessary risks and misoperations.
To better unleash the technical potential of AI agents, DIN has built dedicated infrastructure to meet the requirements of data processing, intelligent decision-making, computing power, and multi-agent collaboration.
In terms of security assurance, it is well known that when AI agents execute decisions on-chain, ensuring the credibility and transparency of the decision-making process is crucial for establishing user trust and ensuring the fairness of the system. To this end, DIN provides decentralized security through its consensus layer built on the OP Stack and leveraging the security of the BNB Chain. 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 powerful data support and management capabilities are the key to ensuring that this data can effectively support AI agent decision-making. Facing the complex blockchain environment, DIN's data layer can provide efficient on-chain and off-chain data processing, supporting the development of AI dApps and AI agents, and providing real-time data support for large-scale AGI models and AI agents. Currently, DIN has attracted over 30 million registered users and has processed and stored over 100 million crypto tweets on the BNB Greenfield, which are securely stored, and users can earn rewards by contributing.
In terms of AI agent creation and deployment, developers often face high technical thresholds, usually involving complex model development, blockchain smart contract writing, data processing, and security design. DIN's service layer provides LLMOps for model deployment and operation, Prompt as a Service to support prompt engineering, and Agentic Workflow to simplify the creation and deployment of AI agents, enabling them to efficiently execute complex tasks. At the same time, DIN's service layer supports multi-agent collaboration through RAG (Retrieval-Augmented Generation) and Agentic Workflow, which can improve efficiency, optimize decision-making, and achieve more intelligent behavior in complex environments. Among them, RAG can provide efficient knowledge search, indexing, and retrieval, promoting 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, supporting seamless cooperation between agents.
It is worth mentioning that DIN has received support from NodeReal, a Rollup service provider that can provide high-performance API services and one-stop application chain solutions with advantages such as low gas fees and high throughput, which can reduce the user participation threshold and meet the high-frequency operation needs of AI data scenarios. At the same time, NodeReal is a strategic partner of the BNB ecosystem, which can bring BNB ecosystem user and developer resources.
Four core applications have been launched, officially kicking off the TGE
AI agents are not just a technical tool, but their core value lies in how to integrate these capabilities into a broader ecosystem and create new value streams. Currently, DIN has made substantial progress in AI agent applications and has launched four self-developed dApps with remarkable results.
Among them, Analytix is a on-chain data analysis platform, mainly used to help users create detailed dashboards to analyze on-chain activities, with clients including BNB Chain, Moonbeam, and Manta Network; Reiki combines AI with user-generated content (UGC), providing creators with customized AI agents and data set management capabilities, and has achieved remarkable success on Product Hunt, ranking first in "Product of the Day" and "Product of the Month", and third in the year-end ranking for 2024; xData, as a revolutionary AI data collection tool, has attracted over 30 million registered users and has collaborated with AISpeech, OKX Wallet, and Mantle. After completing data collection through xData, DIN also launched Chipper Node as a data verifier to achieve high-quality AI data sets. According to the official introduction, Chipper Nodes are the central hub of DIN's data processing, and node holders can verify, classify, clean, and enhance the original data to achieve data verification and vectorization, ultimately generating data to feed AI. Of course, node holders can also receive DIN tokens as rewards during the mining process. The website shows that currently there are over 56,000 Chipper Node holders, with over 40,000 nodes running simultaneously.
From this, we can see that these dApps not only demonstrate DIN's actual implementation of on-chain and off-chain data collection, storage, and application, but also provide rich value for the business use cases of the BNB Chain, thereby promoting the development and innovation of the entire AI Agent track.
In addition to incubating products internally, DIN has also been continuously expanding its influence in the AI Agent ecosystem through a series of external collaborations. For example, in December last year, DIN announced a partnership with the AI-driven MEME coin BANANAS31 on the BNB Chain, where the latter, through the use of AI technology to analyze market trends and user behavior, achieves data-driven innovative development, while DIN provides BANANAS31 with high-quality real-time data support and AI data-driven insights and recommendations. In January this year, DIN collaborated with Santa by Virtuals to launch a special New Year's event; in February, DIN partnered with Kappa, using its AI solutions to help Kappa evolve into a more intelligent multi-agent system (MAS) and bring a richer interactive experience.
Of course, for Chipper Node, DIN's AI data verification and vector processing nodes, there are currently over 50k node holders globally, with over 40k nodes running simultaneously, providing sustainable computing power for contributors to DIN's ecosystem data processing.
To drive the development of the DIN ecosystem and incentivize all contributors, DIN has launched a token economy and opened the TGE on February 14th. According to the official introduction, the total supply of the DIN token is 100 million, of which 41.5% is allocated to the community, 17.5% to the team and advisors, 20% to the ecosystem, 16% to early supporters, and the remaining 5% for market makers and liquidity.
For ecosystem contributors, DIN has launched a $DIN token airdrop query page. The airdrop will be carried out in two phases: the first phase is open to xDIN holders and Chipper node holders, and users can check their airdrop share from February 11th and claim it starting from February 14th. The second phase is open to participants in the Binance wallet airdrop activity and the DIN testnet activity, with the query and claim to be synchronized within 7 days after the TGE.
As a builder of the BNB Chain ecosystem, the DIN project has also received official support and recognition from BNB Chain. For example, DIN is the only project supported by the BNB faucet, where users could previously claim DIN's testnet tokens through the faucet and directly participate in the DIN ecosystem; DIN is the official storage provider for BNB Greenfield, and all AI data is stored on Greenfield.
In terms of financing, DIN has also received strong support from multiple investment institutions. To date, DIN has completed $8 million in financing, including a $4 million seed round in July 2023, participated by YZi Labs (Binance Labs), HashKey Capital, NGC Ventures, and another $4 million round in August 2024, participated by Manta Network, Moonbeam and Ankr.
In summary, AI Agent is accelerating to become the narrative mainstream in the crypto market, gradually breaking through the traditional MEME coin domain and moving towards a more practical and extensive application stage. As projects like DIN gradually build a solid "foundation", solving core needs from data processing to intelligent decision-making and cross-platform collaboration, and from basic technology development to upstream applications, the popularization and application scenarios of AI Agent will continue to expand, and this technological frontier will also become more accessible to the general public.
