SIA: When Intelligent Agents Transform Online Trading Platforms into an Operational Web3 Ecosystem

The Gap Between Web2 AI and Crypto AI: Why a New Approach Is Needed

In recent years, the fusion of AI and Crypto has generated a narrative upon narrative: chain AI, computational infrastructure, Intelligent Agents, support frameworks… Yet, how many of these projects have truly kept users engaged? The reality is that while the Web2 world is undergoing a profound transformation—IDEs like Cursor redesign workflows, advanced models like Claude and GPT-5 are entering concrete production environments, video generators are becoming practical and reliable—the Crypto sector remains in the exploratory phase. AI innovations are spreading everywhere in Web2, but in Web3, applications that genuinely solve user problems are still lacking.

The true intersection of AI and blockchain does not lie in sophisticated models or token speculation. It resides in Intelligent Agents and how they are integrated into the architecture of the network itself. This is where SIA (Super Intelligent Agent) is born: not to speculate, but to transform AI into a truly useful tool capable of executing complex operations and generating measurable economic value.

What Makes SIA Different: From Chat Bot to Digital Workforce

In the near future, the dominant interaction will be: “the user issues a command, the AI executes it.” This is not about a question-answering chatbot, but about an intelligence that provides real services.

SIA builds a true network of services powered by Intelligent Agents. Each Agent interacts with Web2 applications, collaborates with blockchain protocols, and communicates with other Agents to complete complex tasks. User intentions are transformed into actionable steps, with results recorded and distributed on-chain.

Specifically, SIA integrates four modules of fundamental capabilities:

Distributed Orchestration Engine: Enables dynamic resource planning through microservice architecture, coordinating collaboration among different models and execution nodes. Supports asynchronous interaction between advanced AI models, blockchain oracles, and off-chain analyzers, significantly increasing task completion rates.

Data Furnace: Merges API data from Web2, on-chain asset variations, user intentions, and behavioral traces into a unified insight system. Allows Agents to make intelligent decisions based on multidimensional data.

MCP and A2A Protocols: Act as the glue between Web2 and Web3, enabling isolated modules (DeFi protocols, social platforms, e-commerce platforms) to collaborate as modular components.

Value Distribution Mechanism: Records each Agent’s contribution on-chain via smart contracts, ensuring every service transaction receives a transparent, fair, and automatic return.

The final result: transforming intentions into executable instructions, elevating AI from a theoretical model to a real digital workforce, turning wallets into order systems, and smart contracts into mechanisms for service fulfillment. Realizing the “CodeToCash” logic: code becomes capital.

Why Current Crypto AI Projects Are Not Taking Off

The blockchain ecosystem still faces many structural challenges. On-chain data is noisy and poorly structured. Governance is more complex than Web2. Blockchain languages vary across different chains, making cross-chain deployment of AI models difficult. Unified communication protocols between chains are lacking, increasing development complexity.

Moreover, in most Crypto AI projects, tokens serve only as payment or incentive mechanisms, without truly tying to the growth in value of the services. This leads to speculation at the expense of real utility, slowing down tangible business progress.

Existing projects often focus on specific segments: some aim to reduce computing costs compared to centralized cloud services, others build distributed training networks, and still others focus on autonomous Agents for trading and supply chain optimization. The common problem: operating in silos. Model training, computational orchestration, protocol integration, and economic incentives remain separate. Developers must build almost everything from scratch, offering users a fragmented experience.

SIA reverses this logic: it does not ask users to bridge the gap, but allows Agents to do so directly. It transforms “know-how” into a complete cycle: going online, collaborating, self-regulating, and monetizing. It does not just solve part of on-chain AI applications but constructs an entire pathway from initial request, task orchestration, data processing, to action recording and value distribution.

The Intelligent Online Trading Platforms: First Concrete Use Case

SIA’s trading and investment platform represents the first true one-stop AI trading case in the Crypto sector. AI-powered trading is gradually reshaping investor behavior and market participation. Thanks to AI capabilities, crypto trading becomes simpler, smarter, and safer.

Unlike traditional quantitative trading based on static mathematical models, AI trading learns dynamically in real-time: analyzing market data, news, emotional fluctuations. It understands market context like a human, but without human weaknesses. It captures global opportunities 24/7 without fatigue, executes strategies with cold precision unaffected by greed or fear, and patiently waits in the absence of certainty—a discipline many traders struggle to maintain.

AI trading does not replace human experience but transforms it. Through prompt design and model fine-tuning, mature trading ideas become reusable digital assets. SIA’s platform allows users to move from natural language interaction to decomposing complex tasks, facilitating strategy analysis and automatic execution.

SIA’s AntAgents Platform enables users to customize their trading style and easily create their own Agents. Behind this feature are decades of trading experience and support from thousands of strategies. SIA’s AI trading strategies have ranked first by AUM on a major exchange platform. SIA believes that by consolidating trading capabilities and returning style to users, even ordinary traders can achieve competitive performance using AI like professionals.

For beginners, cross-market and cross-chain copy trading via natural language is possible, or stable investments through liquidity pools built by SIA’s Super Agent, earning a share of platform revenues.

The platform integrates multiple blockchains, centralized and decentralized exchanges, and various smart contracts. It offers users the best investment addresses, allows orders across multiple platforms; it enables tracking of smart money addresses and token trading across different blockchains. For low-risk users, the platform offers stable yield products, and for the first time, complex hedging strategies via AI Agents: communicate the idea to the Agent, which then executes automatically.

The ultimate goal: enable users to transfer their trading habits to Agents, creating a 24/7 digital alter ego in their style, with no entry barriers. By interacting with the network of Agents, users generate data on their executions—data reflecting their decision-making logic and behavioral patterns, creating a valuable digital footprint.

SIA is integrating the x402 protocol, empowering AI Agents with powerful autonomous payment capabilities. This greatly expands functional boundaries and paves the way toward the AgentFi vision for everyone. The AI Agent is not just a technical prerogative but a vehicle to realize every user’s ideas: every thought can be implemented via SIA, and in the future, every personal Agent will have access to super monetization in the Web3 world.

SIA fully supports specific ecosystems, deepening collaboration with various partners, offering the full range of AI Trading services, and providing one-stop digital asset services for users across sectors.

From Specialist to Multi-Scenario Infrastructure: Expanding Beyond Trading

Although SIA’s initial applications focus on automated trading—the most context-sensitive Web3 scenario—the real value of the Agent network emerges in high-frequency and structured execution scenarios.

SIA offers interfaces to external partners, allowing users to access AI capabilities on any platform: real-time quotes, technical analysis, strategic suggestions, and more. Currently, the number of daily calls exceeds 30 million tokens and continues to grow.

The platform features various types of Agents: trading, prediction, gaming, and more, supporting multi-scenario deployment. Game developers can focus solely on designing the game system, while on-chain wallet integration and AI model deployment are managed via SIA’s AntAgents Platform, enabling one-click deployment even for those unfamiliar with blockchain gaming. Social platforms can integrate SIA Agents, allowing users to convert points, receive incentives, and bridge identities with external platforms without leaving their native environment.

SIA is building an infrastructure of intelligent plugins for any Web3 project. Agent capabilities are modular and composable, enabling efficient collaboration with all types of protocols, platforms, and ecosystems: exchanges, wallets, public chains, games, social projects. All can integrate the full suite of SIA’s AI service interfaces and capabilities.

In the near future, SIA will not only be an internal Web3 connector but will become the search engine of the AI era and the best gateway from Web2 to blockchain. A traditional application only needs to connect to SIA’s Agent gateway, without understanding the complex blockchain interaction logic, to access full capabilities: payment, signing, on-chain task execution. One-click Web3 integration will become a reality. Over time, the common comment will shift from “one-click token,” “one-click chain” to “Web2 giants integrate Web3 with a click.”

The Team: Not Narrators, but Builders of Real Systems

The SIA team is not composed of whitepaper writers but of people who have faced real challenges, delivered large-scale systems, and managed concrete businesses. They come from the world’s leading tech companies, financial institutions, and Web3 projects, with years of practical experience in AI and blockchain and deep sector knowledge.

Technically, the engineering leaders come from the global infrastructure teams of tech giants, having led the construction of large network systems in Africa, Southeast Asia, and South America. They have experience in public blockchain engineering and exchanges. They have designed distributed architectures for cloud platforms, implemented AI and blockchain systems, and are world leaders in advanced technologies like TEE and privacy computing. They have served as consultants on crypto wallet projects and led open-source projects recognized by top AI research labs.

The team includes those who built Southeast Asia’s largest AI compute centers and served as technical judges for ecosystems with tens of thousands of developers, with broad vision on infrastructure and developer networks.

In Web3, the SIA team includes people who eight years ago built world-leading blockchain data and rating systems, creating multidimensional databases covering exchanges, public chains, projects, and funds. They have brought their projects to the attention of top sector funds, with excellent resources in the landscape.

On the business side, members have experience in investments and operations at top-tier international investment banks and asset managers, managing private equity and secondary markets products for decades worth billions of dollars. They have held strategic consulting roles or been early-stage investors in numerous prominent Web3 projects.

The New Chapter: SIA Is Ready to Seriously Build “AI On-Chain”

Past Crypto AI projects were often just simple “AI shells + blockchain packaging.” Today, AI capabilities are no longer rare; model services have become public infrastructure. The real challenge is: how to truly bring these capabilities on-chain, transforming them into structured, invocable, collaborative, regulatable, and composable services?

SIA does not offer a simple “feature package” but a complete operating system. It allows developers to customize Agents, users to freely initiate service requests, and ensures every on-chain transaction has clear inputs, outputs, and value pathways.

AI should not remain confined to chat but be capable of executing tasks, signing contracts, and completing operations. Web3 should not revolve only around assets but offer AI systems of authentication, regulation, and composable value structures. SIA is the bridge connecting these two worlds, transforming the industry with the launch of its new operational era.