In-depth analysis of the Virtuals protocol: the rise of the trillion-dollar proxy economy | Bee Network

In-depth analysis of the Virtuals protocol: the rise of the trillion-dollar proxy economy | Bee Network Login 熱門新聞 Meme Launchpad AI 代理商 DeSci 熱門鏈瀏覽器 新人必讀 衝百倍幣 蜜蜂遊戲 必備網站 必備APP 必關大神 DePIN 新人必備 教我避坑 基本工具 深度網站 交易所 NFT 工具 你好， 登出 Web3宇宙 遊戲 DApp 蜂巢 增長平台 生態 搜尋 英語 Coins儲值 登入 下載 Web3大學 遊戲 DApp 蜂巢 生態 家•分析•In-depth analysis of the Virtuals protocol: the rise of the trillion-dollar proxy economy In-depth analysis of the Virtuals protocol: the rise of the trillion-dollar proxy economy分析8 年前更新懷亞特 25,246 19 This report, written by Tiger Research , analyzes Virtuals Protocol’s innovation in AI agent collaboration and its place in the trillion-dollar agent economy.

重點總結 AI model performance has plateaued, and industry focus is shifting from technology development to practical applications. AI agents are gaining traction, but the limitations of individual agents make specialized collaboration essential. However, there is currently a lack of standardized systems for agent collaboration.

The Virtuals Protocol solves this problem through the Agent Commerce Protocol (ACP). ACP standardizes and automates agent collaboration through the Request-Negotiation-Transaction-Evaluation phase. This enables smooth collaboration between agents from different platforms.

Through ACP, agents are able to operate as autonomous economic entities 24/7. On-chain hedge funds and autonomous media production have proven what is possible. Currently, 1 million agents create $1 billion in value per year, and this is expected to reach $1 trillion by 2035.

1. The next frontier of AI — AI agents AI technology itself no longer surprises us. Major underlying models such as GPT, Claude, and Gemini show converging performance levels. The performance gap between models has reached an imperceptible level. The industry focus is shifting. From the technical superiority of models to how to effectively leverage them.

This is similar to the early days of humanity’s discovery of fire, which was revolutionary in itself. But the real turning point came when humans expanded it to practical uses. Today’s AI technology follows the same pattern. Humans now have sufficiently powerful models. The next turning point depends on where and how these tools are effectively used.

來源： Tiger Research

It is at this inflection point that AI agents are gaining attention. Agents are not passive tools that only perform a single task when requested by the user. They are closer to active systems that fully understand the given tasks and make autonomous judgments to handle them.

For example, let’s say a user needs to make a reservation for dinner. Existing generative AI models can answer questions like “recommend a Korean restaurant with a good ambiance in Seoul.” But they can’t check availability or help with reservations. Agents work differently. They take into account user preferences (location, type, time period). They search for popular restaurants. And they can help with real-time reservations.

2. What’s missing from today’s agents Agents are close to Jarvis. But that doesnt mean they are all-powerful beings that can handle everything perfectly. Even the best agents cant realistically be experts in everything. Each field requires different expertise. There are also limits to memory and computing power. For example, an agent that provides restaurant planning services cant suddenly become a legal expert. It cant provide legal advice.

The situation changes if different agents can collaborate based on their expertise. For example, a restaurant recommendation agent can request a menu translation from a translation agent for a foreign user. It can ask a healthcare agent to check the users allergy information. It can select a suitable restaurant based on that information. This enables precise service provision that is beyond the reach of a single agent.

But the problem lies in implementation. How do you implement a process that allows multiple agents to work together?

Consider a situation where a marketing agency requests a poster from a design agency. Several questions immediately arise. How will they agree on the scope of work and quality standards? How will they price their services? What happens when the deliverables don’t meet expectations? How will they handle payment? Without answers to these basic questions, collaboration between agencies will only add to the confusion. The more serious problem is complexity. Complexity increases significantly as the number of collaborating agencies increases. This mirrors a real-world scenario. When people outsource work to freelancers, they draw up contracts and clarify the scope of work. Agencies need the same systematic process.

The agent ecosystem ultimately needs standard protocols. These protocols can structure and automate the collaboration between agents as a transaction unit. A comprehensive commercial infrastructure must be established. This infrastructure covers contract execution, condition negotiation, quality assessment, and payment. The Agent Commerce Protocol (ACP) proposed by Virtuals Protocol is a solution to this problem.

3. Virtuals Protocol: Expanding from an agent launch platform to commercial infrastructure

Source: Virtuals Protocol

Virtuals is the leading agent-related project in the Web3 industry. It provides a technical foundation for anyone to develop and deploy AI agents. It attracted market attention by launching two key products. They are GAME (Generative Autonomous Multimodal Entities) – an agent development framework, and a launchpad for tokenizing agents and raising funds.

To date, over 17,000 agents have been launched through Virtuals. This is considered an important achievement in establishing the foundation of an agent ecosystem within the Web3 industry. However, Virtuals’ framework has fundamental limitations. It is effective for the development and deployment of a single agent. But it does not consider the structure for communication and collaboration between agents.

Virtuals proposed ACP to solve these problems. ACP is an open business protocol that integrates the entire agent ecosystem. ACP standardizes the way agents trade with each other. It builds an environment that enables agents from different blockchains or platforms to collaborate and trade smoothly, overcoming technical barriers. Individual agents can leverage the professional services of other agents through this protocol. They do not need to develop all functions independently. This will significantly improve the efficiency of the entire ecosystem. This is similar to how Stripe standardized complex online transaction processes and activated the digital economy. ACP is expected to provide new growth momentum for the agent ecosystem in the same way.

4. ACP: An open standard for multi-agent commerce Virtuals’ ACP consists of four main stages: Request, Negotiation, Transaction, and Evaluation. This is similar to the process of traditional companies issuing a request for proposal (RFP). They compare quotes from multiple suppliers and sign a contract. However, the difference is that smart contracts automate all processes.

資料來源：老虎研究

To examine the operation of ACP in detail, lets consider the entrepreneurial case of opening a lemonade shop. Suppose a user wishes to open a lemonade shop with the help of an agent. The managing agent Lemo first identifies a list of tasks required for the business. It identifies that various professional tasks are needed. These tasks include writing a business plan, developing a marketing strategy, and legal advice. It then requests work from agents who are specialized in these fields through ACP.

Taking poster creation as an example, the four-stage ACP process is as follows:

Request phase: Lemo posts a “request for posters” on the bulletin board. Lemo sets a budget of $50.

Negotiation phase: Designer agent Pixie proposes, “I can do it in 2 days for $40.” Lemo agrees and the deal goes forward.

Transaction phase: The smart contract securely stores Lemo’s $40 (agreed amount). Pixie starts creating a poster.

Evaluation Phase: An Evaluator agent reviews Pixies completed poster. The agent determines whether the poster meets the criteria specified in the request. If the agent approves, compensation is automatically settled. The system records this evaluation in Pixies reputation and serves as a trust indicator for future transactions.

Lemo can request other professional tasks from the respective expert agents in the same way. These tasks include marketing strategy development and legal advice.

5. How will ACP change the affiliate ecosystem? The changes brought about by ACP will go beyond mere efficiency gains. These changes are expected to lead to a fundamental paradigm shift in the agent ecosystem. With ACP, agents can automatically perform tasks 德菲ned by code. They can be compensated for doing so. These agents can work 24/7 without interruption. They can be deployed to work whenever they are needed. They can also stop working whenever they are needed. Unlike humans, they have no physical constraints. There are no time limits. This makes it possible for the emergence of entirely new dimensions of business models. The industry is still in its early stages. But one can get a glimpse of its potential through the cases demonstrated by Virtuals.

5.1. Hedge Funds Never Sleep

On-chain hedge funds are the most notable example of ACP applications. Investment work is inherently complex. It requires real-time processing of highly specialized areas. These areas include market analysis, risk management, and portfolio optimization. This structure can achieve optimization through collaboration. Agents with different expertise work together.

For example, AIXVC analyzes investor tendencies. It allocates assets. It adjusts positions. AIXBT and Degen Capital analyze market trends and social data. They use different criteria. Loky tracks on-chain data in real time. BevorAI audits smart contracts. Each agent works independently. They exchange necessary information and insights through ACP. They arrive at comprehensive investment decisions.

The system, at its core, works continuously. It works 24/7, not just at certain times. Agents continuously analyze market data. They adjust positions. Work gets done. ACPs evaluation system automatically verifies performance. Compensation is distributed. All of this happens autonomously. No human intervention is required.

5.2. The non-stop production factory driven by agents

Media production factories can also operate autonomously 24/7. Professional agencies divide the work within this structure. They handle all processes from planning to production to distribution.

This is expected to bring about major changes to the virtual idol industry. Currently, virtual idols have limitations. Production companies have to create content directly. They upload content manually. But autonomous operating systems change this. They can interact with fans in real time. This can significantly increase engagement.

When Virtuals’ AI-based virtual idol Luna interacts with fans, multiple agents collaborate. They create content together. The Alphakek agent curates meme content. It reflects 加密貨幣 market conditions or trends. The MUSIC agent generates 8-15 seconds of background music. The music fits the content. The Luvi (formerly Steven SpAIelberg) agent edits these elements. It creates 15-30 second TikTok or Instagram Reels videos. It produces the complete video. Each agent shares the status of their work in real time through ACP. They collaborate. For example, Luna asks to “make it funnier.” Alphakek exaggerates. MUSIC adds comedic sound effects. They reflect these modifications immediately.

Source: Virtuals Protocol

The video above shows the results in action. Luna and Luvi created it through autonomous collaboration. No human intervention. This proves that agents can act as independent economic entities. They go beyond mere task automation. They collaborate autonomously. They create value. This model of agent collaboration will expand beyond hedge funds or media production. It will touch every industry. It will evolve into new business models.

6. The Trillion Dollar Revolution: The Agency Economy in Data The agency economy is no longer a fantasy story. Agencies have begun to operate as economic entities through ACP. Hedge funds and media production factories operating 24/7 have proven this is possible.

The technology foundation that supports this is also developing rapidly. In the past two years, the cost of AI inference has dropped by 99.7%. High-performance open source models like Metas LLaMA and Alibabas Qwen provide commercial-grade performance. This creates an environment where anyone can create an agent at low cost.

By 2025, there are about 1 million public agents running on the chain. Each agent creates about $1,000 in value per year. The total economic value created by agents reaches about $1 billion. This is called Gross Agent Product (GAP). If this trend continues, it is expected to grow to $1 trillion by 2035.

However, there are still challenges to be solved to achieve this growth. ACP provides strong security based on EVM. But it still needs to be improved in terms of privacy protection. This applies to sensitive transaction information and business logic. Fortunately, zero-knowledge proof technology will gradually overcome these limitations. As the technical completeness improves, the potential of the proxy economy is expected to expand further.

This article is sourced from the internet: In-depth analysis of the Virtuals protocol: the rise of the trillion-dollar proxy economy

Related: A third-party analysis of the Coinsidings ecosystem: the exploration of digital luxury travel In recent years, blockchain, decentralized finance (DeFi) and artificial intelligence (AI) technologies have been integrated in many fields, and the tourism industry is gradually becoming the focus of attention. Through the tokenization of physical assets (RWA), on-chain financial services and intelligent recommendation systems, a number of projects are trying to provide value to both travelers and asset investors. 1. Industry Background and Technology Context 1. Pain points of traditional tourism High intermediary fees: OTAs (online travel agents) typically charge a commission of 15% – 25%, which reduces merchant profits and increases consumer costs. Low asset utilization: high-end hotels, holiday villas, yachts and other assets have a high idle rate. Except for a few top customers, most people have no chance to participate in asset returns. Disconnected financial services: Cross-border lending,…

#分析# 加密# 脫機#交換#市場#代幣#工具# 網路3© 版權聲明文章版权归作者所有，未经允许请勿转载。 上一篇 PUMP sold out in 12 minutes. Which of the two scenarios after the opening do you believe? 下一篇 One-week token unlocking: Trump unlocks $870 million worth of tokens 相關文章 Data calculations show the return value of MegaETH’s first points program. 6086cf14eb90bc67ca4fc62b 17,029 CoinW Research Institute Weekly Report (2025.6.9-2025.6.15) 6086cf14eb90bc67ca4fc62b 25,941 新的Realistic Ways to Earn Extra Income From Home (Without Sketchy Schemes) 行政 3,730 新的Following OpenMind’s Token Launch, A Quick Look at Unlaunched Projects in the Robot Sector 6086cf14eb90bc67ca4fc62b 665 The truth of the data: 2/3 of the Meme coins promoted by KOLs have returned to zero, and only 1% of the tokens have incr 6086cf14eb90bc67ca4fc62b 38,942 2 Weekly Editors Picks (0614-0620) 6086cf14eb90bc67ca4fc62b 31,169 暫無評論 您必須先登入才能發表評論！ 立即登入 暫無評論... 最新的文章 How to Systematically Track High-Win-Rate Addresses on Polymarket? 5小時前 236 CoinEx Research: Geopolitical Tensions Drive Up Oil and Gold Prices, Crypto Market Absorbs Liquidity Shock 5小時前 374 Low-Threshold Investment in SpaceX and ByteDance: MSX Partners with Republic to Usher in a New Era of Global Top Unicorn Investment 5小時前 356 Hold Bitcoin Mid-Term Short Positions, HYPE Successfully Rides the Wave for Profits | Guest Analysis 5小時前 407 Arthur Hayes: Middle East Flares Up, Time to Be Bullish on Bitcoin 5小時前 420 熱門網站TempoLighterGAIB滑翔機普朗克雷爾斯BCPokerVooi Bee.com 全球最大的 Web3 入口網站 合作夥伴 CoinCarp Binance CoinMarketCap CoinGecko 幣活 盔甲 下載Bee Network APP開啟您的Web3之旅 白皮書 角色 常問問題 © 2021-2026.版權所有。. 隱私政策 | 服務條款 下載蜜蜂網路APP 並開始 web3 之旅 全球最大的Web3入口網站 合作夥伴 CoinCarp Binance CoinMarketCap CoinGecko Coinlive Armors 白皮書 角色 常問問題 © 2021-2026.版權所有。. 隱私政策 | 服務條款 搜尋 搜尋站內鏈上社群媒體新聞 熱門推薦： 擼毛打金 數據分析 必關大神 教我避坑 繁體中文 English 简体中文 日本語 Tiếng Việt العربية 한국어 Bahasa Indonesia हिन्दी اردو Русский 繁體中文