IQ AI

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IQ AI

IQ AI is a platform focused on the integration of artificial intelligence with decentralized finance (), primarily through its (ATP). The platform enables the creation and deployment of tokenized designed to operate autonomously within ecosystems.

Overview

AI develops infrastructure and applications at the intersection of artificial intelligence and technology [1] [2]. Its core offering is the , described as the first platform that enables developers to create tokenized 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 , transforming innovation [1].

The concept behind ATP is to create that are not only intelligent but also possess characteristics typically associated with 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 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 processes [3].

Beyond decentralized finance applications, AI envisions the use of tokenized agents in broader contexts, including robotics and Internet of Things (IoT) automation [1] [3]. By bridging AI, , 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 , , and [1].

Agent Tokenization Platform (ATP)

The is described as a platform designed for creating tokenized [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:

  • Deployment: Developers can deploy using ATP's , which supports modular DeFi plugins and is compatible with [1]. This allows agents to autonomously perform actions like lending, borrowing, and optimizing financial strategies [1].
  • Tokenization: Each AI agent launched on the platform is associated with its own token [1]. This token represents the agent's capabilities, governance rights, and value, functioning as a tradable on-chain asset [1]. Tokenization is intended to foster a community of co-owners around each agent, encouraging collaboration and shared success [1].
  • Evolution: As agents grow and their associated expands, they are designed to unlock enhanced features and capabilities, potentially driving further value [1].

IQ Token

The token is positioned as the central component of the ATP ecosystem, driving governance, utility, and growth [1].

Key roles of the token include:

  • Platform Fees: All ATP fees are paid in , further increasing demand and utility [1] [2].
  • Liquidity Pairing: Every tokenized agent launched on ATP pairs with the token, increasing demand and utility [1] [2]. Agent adoption fuels demand [1].
  • Governance and Rewards: Users can stake tokens with to participate in governance decisions and earn rewards [1]. holders govern the platform, ensuring decentralization [2].

The token is listed on various exchanges, including [4], [5], [6], and [7].

Tokenized Agents

AI is showcasing the transformative potential of the (ATP) by turning its current AI products into fully autonomous, tokenized agents [1]. Two examples highlighted are and [1].

  • AIDEN: Described as an AI agent providing knowledge, is trusted by over 2 million users across more than 200 crypto communities [1]. It is planned to relaunch later in 2025 as a tokenized agent with its own independent token and unique tokenomic model [1] [3]. This transformation is intended to empower the community to influence its governance, directly shape its future, and share in its success [1].
  • Sophia: Developed by , is an AI editor integrated with IQ.wiki, the largest encyclopedia [1]. As a tokenized agent on ATP, is planned to introduce decentralized incentives, rewarding contributors for expanding and curating knowledge [1]. This approach fosters collaboration and creates a dynamic ecosystem of community-driven content creation [1].

Teams building for the future of have begun tokenizing agents on ATP. Gemach is one of the teams tokenizing a agent on ATP, named Ari, which is planned to autonomously trade and lend on and other EVM chains using ATP’s [3].

Partnerships

IQ AI has established partnerships to support the development and deployment of the Agent Tokenization Platform.

  • Open Agents Alliance: became a founding member of the alongside other leaders in AI x Crypto, including NEAR AI, , and Onramp & AgentKit. The alliance is committed to making the future of open, user-owned, and globally available while fairly rewarding builders. Initial members contribute toward a single User-Owned tech stack. [8] [9]
  • Fraxtal: is a strategic launch partner for ATP, leveraging its advanced DeFi infrastructure [1] [2]. The platform is planned to initially deploy on [1]. also intends to use ATP to launch its first tokenized agent, FraxAI [1] [2]. Initial ATP agents on are expected to focus on cross-chain execution, optimizing transactions post-North Star hard [1]. ATP is also the only agent platform integrating with Fraxtal’s Borrow Automated Market Maker (BAMM), offering on agent tokens immediately on deployment [2]. ATP is designed for broad adoption, allowing projects to deploy and train tokenized for their ecosystems [1]. Following the launch, ATP plans to integrate with more blockchains and ecosystems [1].
  • OpenLedger: partnered with to integrate ATP with 's AI-powered platform, aiming to enhance AI agent capabilities and expand market reach [10].

NEAR Partnership

In August 2025, IQ AI partnered with , a collaboration that included a strategic investment from the aimed at advancing User-Owned AI [19]. The partnership centers on integrating AI's Agent Tokenization Platform (ATP) with NEAR AI to bring autonomous cross-chain capabilities to tokenized . As part of the agreement, the NEAR Foundation acquired to support liquidity on , and acquired NEAR for and integrations [19].

The technical integration involved connecting with AI's Agent Development Kit for TypeScript (ADK TS), allowing developers to build intent-powered agents using a dedicated Model Context Protocol (MCP) [20]. This integration elevated ATP agents with seamless interoperability, enhanced scalability, and frictionless execution across ecosystems [1]. ATP leveraged NEAR's purpose-built AI development stack, equipping agents with cutting-edge tools for autonomous operations, intelligent decision-making, and seamless on-chain execution [1]. NEAR's cross-chain architecture enabled ATP agents to interact across multiple ecosystems, enhancing liquidity, execution speed, and reliability for tokenized AI economies [1]. With NEAR's high-performance infrastructure, ATP agents became able to operate at scale, efficiently managing complex transactions and decentralized workflows [1].

KRWT Stablecoin

In September 2025, IQ AI, in partnership with , announced , the first Korean won-denominated on a public [13]. is designed to maintain a 1:1 peg with the Korean won (KRW) and is backed by transparent reserves [14].

The emphasizes transparency and compliance. Its reserves are subject to monthly independent third-party attestations, and its website provides live data on supply and reserve composition [14]. is a privately issued and is distinct from a [14].

Technology and Ecosystem

was launched with a multi-chain strategy, initially deploying on the L2 network, with plans to expand to L1, L2, L2, L2, and Linea L2 [14]. The project aims to build an ecosystem focused on real-world utility, including cross-border remittance, treasury operations, and e-commerce [14].

Key ecosystem partners include South Korean banks such as KB Bank and Shinhan for direct KRW on

IQ AI x Google Cloud

AI migrated its infrastructure to Google Cloud and adopted Gemini 2.5 as the default model across all its AI agents, including ( editor) and ( onboarding assistant). This shift aims to improve performance, scalability, and multi-modal reasoning capabilities for its tokenized agents. AI is also among the first 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.

ADK for TypeScript

The is an open-source framework launched by 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:

  • Seamless Developer Experience: Features an intuitive AgentBuilder API for rapid agent creation with minimal code, promoting clean, production-ready development [11].
  • Modular & Flexible Architecture: Supports composing agents, attaching tools, and integrating with various large language models (LLMs) like OpenAI, Gemini, Claude, and Mistral, offering extensive design freedom [11].
  • Production Readiness: Designed to scale from prototyping to production, incorporating session management, persistent memory, and OpenTelemetry support for tracing and performance monitoring [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 (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 and databases [11].

On-Chain Capabilities

ADK for TypeScript includes native support for and decentralized finance (DeFi) applications [11]. Agents built with ADK can perform -related tasks such as analyzing DeFi positions (e.g., Fraxlend, BAMM), executing token swaps via , 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 [11]. These on-chain functionalities are powered by IQ AI's (MCP) servers, purpose-built for interaction [11].

Starter Templates

To accelerate development, ADK-TS provides several starter templates that demonstrate advanced on-chain capabilities [15] [16].

x402 AI Agent Template

This template integrates ADK-TS with Coinbase's protocol, an open standard for enabling on-chain crypto payments for web resources [15]. It allows developers to build that can automatically earn and spend . The template demonstrates a pay-per-use model where an agent can charge for premium features or pay for API calls using crypto micropayments. When a paid resource is requested, the server responds with a 402 Payment Required status, specifying the payment details. The client then makes the on-chain payment and retries the request with proof of payment, creating a seamless system for monetized [15].

NEAR Shade Agent Template

This template combines ADK-TS with NEAR to create autonomous that can securely interact with blockchains [16]. While ADK-TS provides the agent's intelligence and reasoning capabilities, NEAR handle secure transaction execution. Each agent is given its own NEAR account with private keys stored in a Trusted Execution Environment (TEE), providing hardware-level security. This setup allows agents to autonomously sign and execute transactions on any , not just NEAR, without human intervention. The template includes an example of an AI agent that monitors market sentiment, fetches price data, and updates an on-chain contract autonomously [16].

MCP Servers

IQ AI has developed a suite of specialized Model Context Protocol (MCP) servers to extend the functionality of ADK-TS agents by providing seamless integration with external services and data sources [17]. These servers allow agents to interact with various protocols and platforms. Available MCP servers include integrations for interacting with smart contract ABIs, the Agent Tokenization Platform (ATP), Fraxlend, , for DEX aggregation, and the crypto exchange [17].

ADK-TS CLI

The ADK-TS Command Line Interface (@iqai/adk-cli) is a toolkit for AI agent development, testing, and deployment [18]. It provides a complete development environment, from project creation to production deployment. Key features include project scaffolding from templates (e.g., Discord bots, web servers), an interactive terminal-based chat for testing, a React-based web UI for agent management, and a full-featured RESTful API server for production use with auto-generated OpenAPI documentation. The supports multiple package managers and is designed to run on Windows, macOS, and Linux [18].

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] [12].

Integration with Robotics & IoT

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 to interact with the physical world by bridging AI, , and automation, unlocking new possibilities for decentralized intelligence [1]. Potential use cases mentioned include:

  • Autonomous Robotics: controlling robotic systems [1].
  • IoT Automation: Agents optimizing logistics, supply chains, and smart infrastructure [1].

ATP Points

ATP Points are a system designed to incentivize early engagement with the Agent Tokenization Platform [1].

Points can be earned through various activities:

  • Holding tokens on [1].
  • Providing liquidity to IQ-agent pairs [1].
  • Holding tokenized [1].
  • Engaging in specific community activities, such as the Kaito Yappers leaderboard [1].

The utility of ATP Points is planned to involve conversion into either tokens or a dedicated ATP token, with the decision on the conversion mechanism to be made by stakers after one year [1].

REFERENCES

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