IQ AI is a platform focused on the integration of artificial intelligence with decentralized finance (DeFAI), primarily through its Agent Tokenization Platform (ATP). The platform enables the creation and deployment of tokenized AI agents designed to operate autonomously within blockchain ecosystems.
IQ AI develops infrastructure and applications at the intersection of artificial intelligence and blockchain technology [1] [2]. Its core offering is the Agent Tokenization Platform (ATP), described as the first DeFAI platform that enables developers to create tokenized AI agents capable of autonomously managing assets, executing financial strategies, and interacting with decentralized economies [1] [2] [3]. The platform aims to provide the tools and infrastructure for individuals, startups, and large projects to realize their vision through tokenized AI agents, transforming blockchain innovation [1].
The concept behind ATP is to create AI agents that are not only intelligent but also possess characteristics typically associated with blockchain entities, such as built-in wallets and tokenized ownership, enabling them to function as self-sustaining economic participants [1] [2] [3]. This structure is designed to enable agents to actively participate in the blockchain economy, making decisions and executing actions based on their programming and access to decentralized protocols [1]. ATP aims to address the gap in DeFi participation by enabling seamless, conversational interactions that streamline intricate blockchain processes [3].
Beyond decentralized finance applications, IQ AI envisions the use of tokenized agents in broader contexts, including robotics and Internet of Things (IoT) automation [1] [3]. By bridging AI, blockchain, and automation, the platform aims to facilitate decentralized intelligence that can interact with both digital and physical environments [1]. The ecosystem also includes existing AI-powered products like AIDEN, SOPHIA, and IQ.wiki [1].
The Agent Tokenization Platform (ATP) is described as a DeFAI platform designed for creating tokenized AI agents [1]. These agents are intended to autonomously manage assets, optimize DeFi strategies, and interact with decentralized economies [1]. The platform provides the infrastructure for deploying, tokenizing, and scaling these AI entities [1].
Key aspects of the ATP include:
The IQ token is positioned as the central component of the ATP ecosystem, driving governance, utility, and growth [1].
Key roles of the IQ token include:
The token is listed on various exchanges, including Binance [4], 1inch [5], Upbit [6], and Frax Finance [7].
IQ AI is showcasing the transformative potential of the Agent Tokenization Platform (ATP) by turning its current AI products into fully autonomous, tokenized agents [1]. Two examples highlighted are AIDEN and Sophia [1].
Teams building for the future of DeFAI have begun tokenizing agents on ATP. Gemach is one of the teams tokenizing a DeFAI agent on ATP, named Ari, which is planned to autonomously trade and lend on Fraxtal and other EVM chains using ATP’s Brain framework [3].
IQ AI has established partnerships to support the development and deployment of the Agent Tokenization Platform.
IQ AI migrated its infrastructure to Google Cloud and adopted Gemini 2.5 as the default model across all its AI agents, including Sophia (IQ.wiki editor) and AIDEN (blockchain onboarding assistant). This shift aims to improve performance, scalability, and multi-modal reasoning capabilities for its tokenized agents. IQ AI is also among the first Web3 platforms to integrate Google’s Agent Development Kit (ADK). Developers can build with ADK and launch agents directly on ATP, where those agents are tokenized, governed by stakers, and able to interact with smart contracts and protocols in real time.
The Agent Development Kit (ADK) for TypeScript is an open-source framework launched by IQ AI, designed for building, orchestrating, and deploying intelligent agents [11]. Inspired by Google’s Python ADK, this TypeScript-first toolkit provides type safety, autocompletion, and a streamlined experience for creating AI systems, from simple Q&A bots to complex multi-agent solutions [11].
ADK for TypeScript is built on three core pillars:
AgentBuilder
API for rapid agent creation with minimal code, promoting clean, production-ready development [11].Key features include multi-agent support, flexible orchestration (sequential, parallel, or LLM-driven routing), stateful memory for long-term context, and multi-LLM compatibility [11]. It also offers tool integration via Model Context Protocol (MCP) servers, robust tracing and evaluation, and deployment flexibility with Docker support and cloud-ready containerization [11]. Developers can use ADK to build AI assistants, autonomous agents, collaborative workflows, and AI-driven applications connecting to APIs and databases [11].
ADK for TypeScript includes native support for Web3 and decentralized finance (DeFi) applications [11]. Agents built with ADK can perform blockchain-related tasks such as analyzing DeFi positions (e.g., Fraxlend, BAMM), executing token swaps via ODOS, and managing tokenized agents on the Agent Tokenization Platform (ATP) [11]. They can also interact with smart contracts via ABI and bridge assets across blockchains, including NEAR [11]. These on-chain functionalities are powered by IQ AI's Model Context Protocol (MCP) servers, purpose-built for blockchain interaction [11].
Getting started with ADK involves simple code snippets or using npx create-adk-project
for a full project setup with sample agents, a development environment, and documentation [11]. The framework is open-source and community-driven, encouraging exploration of its code, joining conversations, and trying examples [11] [13].
ATP is designed with potential applications extending beyond decentralized finance, including integration with robotics and Internet of Things (IoT) systems [1] [3].
The platform aims to enable AI agents to interact with the physical world by bridging AI, blockchain, and automation, unlocking new possibilities for decentralized intelligence [1]. Potential use cases mentioned include:
ATP Points are a system designed to incentivize early engagement with the Agent Tokenization Platform [1].
Points can be earned through various activities:
The utility of ATP Points is planned to involve conversion into either IQ tokens or a dedicated ATP token, with the decision on the conversion mechanism to be made by IQ stakers after one year [1].