BNB Chain is back in popularity, how will TGE's ecological project DIN help AI Agent unlock the economy on the chain?

Author: Nancy, PANews

In recent days, the MEME currency TST, which was "named" by CZ, has become popular. While its market value has soared in Binance for a short time, it has also led the BNB Chain ecosystem to return to the focus of the market again. In this wave of market boom, DIN is 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 on February 14th coin generation event).

AI Agent is a popular track nowadays, and the market has long been "smoke everywhere". DeepSeek, which has been strongly flooding the screen recently, has accelerated the reconstruction of the AI ​​territory and verified a profound AI industry law: in the competition driven by technology, technology itself is not The only key factor that determines the outcome is cost control and efficiency improvement.

This also applies to the AI ​​Agent field in the on-chain world. As one of the core driving forces of this round of encryption cycle, Web3 AI Agent has attracted a lot of attention and capital with its autonomy, intelligence and collaboration capabilities. However, in order to truly become a mainstream participant in the on-chain economy, AI Agent not only needs to overcome the phased challenges of market sentiment repair, but also must solve the long-term issue of continuing to attract liquidity in a changing market. In this process, DIN provides 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 on-chain economy.

From data processing to building an AI Agent **exclusive

infrastructure**

"No one can complete all the work before going to bed at night, and companies also need to spend a lot of time monitoring things. Creating an artificial intelligence agent can not only replace part of the work, assist in enterprise inspections, etc., but also improve work efficiency and save time." Gartner Vice President Analyst Gene Alvarez once pointed out that AI Agent is deeply integrated into our daily lives. According to Gartner's forecast, by 2028, at least 15% of daily work decisions will be completed independently through artificial intelligence agents.

Compared with the AI ​​Agent 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 , Arweave, etc.), the AI ​​Agent can access large-scale and dynamically changing data. , while ensuring data integrity and immutability. Through technologies such as Zero Knowledge Proof (ZKP) or Trusted Execution Environment (TEE), blockchain provides verifiability for AI's inference process, enhances the transparency and audit capabilities of the system, and avoids the emergence of "black box" problems. .

At this stage, AI Agent in the field of encryption is developing rapidly. In addition to MEME, such as frameworks, Launchpad and various application projects are also emerging, 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 diversified applications such as intelligent transactions, data analysis and complex decision support systems has also posed more comprehensive challenges to the AI ​​Agent infrastructure. For example, because many AI Agents are operating 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, since 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 has created a data island effect, making it difficult for AI Agents to obtain comprehensive and timely market data limits their decision-making ability and performance, which is also an important reason why AI Agent analysis such as AIXBT was not always accurate. Moreover, while AI Agent relies on high-quality data input, how to share data efficiently and securely is a huge challenge. Especially in encrypted dark forests, cross-platform or cross-chain data sharing has become complicated and lacks standardization. The data format and interface also make data exchange inefficient. 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 misoperation.

In order to better realize the technical potential of AI Agent, DIN has created a dedicated infrastructure to meet the requirements of 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 transparency and immutability of operations and decisions, providing an AI Agent with a reliable execution environment.

In data processing, high-quality data is the basis for AI Agent to make intelligent decisions, and strong data support and management capabilities are the key to ensuring that these data can effectively support AI Agent decisions. Faced with a complex blockchain environment, DIN's data layer can provide efficient on-chain and off-chain data processing, support the development of AI dApps and AI Agents, and can provide real-time data support for large-scale AGI models and AI Agents. Currently, DIN has attracted more than 30 million registered users and has processed and stored more than 100 million encrypted tweets on the chain. These data are all securely stored on BNB Greenfield, and users can receive rewards through contributions.

In the creation and deployment of AI Agents, developers often face high technical barriers, which usually involve multiple aspects such as 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 for prompt engineering, simplifying the creation and deployment of AI Agents and enabling them to perform complex tasks efficiently. At the same time, DIN's service layer supports multi-agent collaboration through RAG (retrieval enhancement generation) and Agentic Workflow, which can improve efficiency, optimize decisions in different fields and application scenarios, and achieve smarter behaviors 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, and supports Seamless cooperation between.

It is worth mentioning that DIN has received NodeReal support. The Rollup service provider can provide high-performance API services and one-stop application chain solutions, which have the advantages of low Gas fees and high throughput, which can lower the threshold for user participation and meet AI. High-frequency operation requirements for data scenarios. At the same time, NodeReal is a strategic partner of the BNB ecosystem, which can bring BNB ecosystem users and developer resources.

**Four core applications have been launched, 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 wider ecosystem and create a whole new stream of value. 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 compares AI with User Generated Content (UGC) Combined, it can provide creators with customized AI Agent and dataset management capabilities, and has achieved significant success on Product Hunt, ranking first in "Daily Product" and "Product of the Month" and "Medium in the Year-end Ranking in 2024 Ranked third; xData, as a revolutionary AI data collection tool, has attracted more than 30 million registered users and has cooperated with AISpeech, OKX Wallet and Mantle. And after completing data collection through xData, DIN also launched Chipper Node as a data validator to achieve high-quality AI data sets. According to official reports, Chipper Nodes is the central hub for DIN data processing. Node holders can verify, classify, clean and enhance the original data, realize the verification and vectorization of the data, and finally generate the data fed to the AI. Of course, node holders can also receive DIN tokens as rewards during mining. According to the official website, Chipper Nodes currently has more than 56,000 node holders, of which more than 40,000 nodes are running at the same time.

From this point of view, these dApps not only show the actual implementation of DIN's on-chain and off-chain data collection, storage and application, but also provide rich value for BNB Chain's commercial use cases, thereby promoting the development of the entire AI Agent track. and innovation.

In addition to incubating products inward, DIN also continues to expand its influence in the AI ​​Agent ecosystem through a series of external cooperation. For example, in December last year, DIN announced a cooperation with BNB Chain's AI-driven MEME currency BANANAS31. The latter achieved data-driven innovative development by relying on AI technology to analyze market trends and user behaviors. DIN provides BANANAS31 with high-quality real-time data. Support, as well as AI data-driven insights and suggestions. In January this year, DIN joined hands with Santa by Virtuals to launch a special New Year event; in February, DIN reached a cooperation with Kappa to help Kappa evolve into a smarter multi-body proxy system (MAS) through its AI solutions and bring richer interactions. Experience.

Of course, for Chipper Node, DIN's AI data verification and vectorization processing nodes, there are currently more than 50k node holders around the world, and more than 40k nodes are running simultaneously, which can be sustainable for data processing contributors in the DIN ecosystem. The computing power

To promote the development of the DIN ecosystem and inspire all contributors, DIN launched Token Economics and launched TGE on February 14. According to official reports, the total supply of token DIN is 100 million, of which 41.5% are allocated to the community, 17.5% are teams and consultants, 20% are ecosystems, 16% are early supporters, and the remaining 5% are left Used for market makers and liquidity.

For ecological contributors, DIN has launched the $DIN token airdrop query page. Airdrops will be divided into two stages: the first stage: open to xDIN holders and Chipper node holders. Users can query the airdrop share from February 11 and apply for it starting from February 14. Phase 2: Open to Binance Wallet Airdrop Event Participants and DIN Test Network Event Participants. Query and application will be conducted simultaneously within 7 days after TGE.

As a BNB Chain ecological builder, the DIN project has also received official support and recognition from BNB Chain. For example, DIN is the only project supported by BNB faucet. 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. So far, DIN has completed $8 million in financing, including a $4 million seed round in July 2023, with participation from YZi Labs (Binance Labs), HashKey Capital, NGC Ventures, etc.; and another round in August 2024 The funding was raised by US$4 million, and the participants include Manta Network, Moonbeam and Ankr.

In general, AI Agent is accelerating to become the main narrative line of the crypto market, gradually breaking through the scope of traditional MEME coins, and moving towards a more pragmatic and widespread application stage. As projects like DIN gradually lay a solid foundation, solve core needs from data processing to intelligent decision-making, cross-platform collaboration, and develop from basic technology to upstream applications, the popularity and application scenarios of AI Agent will continue to expand. At the forefront of technology, it is easier to "fly into the homes of ordinary people."