VALR Launches AI Service for Humans and AI Agents

VALR, the Pantera-backed crypto exchange, announced the launch of its AI Service, marking a significant step in making crypto trading more accessible for all participants. The service introduces AI-powered tools for human users while simultaneously opening the platform’s infrastructure to autonomous AI agents.

For human users, the AI Service enhances the trading experience by providing intuitive assistance: users can now conduct intelligent market analysis, gain insights into their own account activity and performance, obtain trading suggestions, as well as draw on the service for immediate and tailored AI support. Soon, the AI Service will enable users to develop customised trading strategies and explore automated trading options directly within the VALR platform. This makes complex crypto markets easier to navigate and empowers individuals and businesses to make more informed decisions.

In parallel, VALR is enabling autonomous AI agents to participate directly in digital asset markets as independent economic actors. Following the open Agent Skills Standard, the platform’s API infrastructure is fully accessible to agents such as OpenClaw, as well as coding-focused agents including Anthropic’s Claude Code, OpenAI’s Codex, OpenCode, and others.

The comprehensive suite of endpoints supports secure authentication, real-time market data, trade execution, account management, and portfolio oversight, all within VALR’s regulated environment and backed by institutional-grade security and liquidity.

These dual developments, AI assistance for humans and direct access for AI agents, position VALR to serve an expanding ecosystem where both people and intelligent systems create, manage, and exchange value.

THE RISE OF AGENTIC FINANCE

AI agents are autonomous systems that perceive data, reason, plan, and act with minimal human input. Their growing role in financial activities is driving what is called ‘agentic finance’, where agents manage micro-transactions, portfolios, and on-chain operations.

According to Gartner, 40% of business software applications will integrate task-specific AI agents by the end of 2026, up from less than 5% in 2025. Industry analysts project the global AI agents market to grow from approximately USD 8 billion in 2025 to around USD 50 billion by 2030. Reports from institutions such as Deloitte and McKinsey highlight how agentic AI is transforming banking and finance, including treasury management, credit assessment, fraud detection, and compliance.

In crypto markets, AI agents are already active, particularly in automated trading. Blockchain and crypto infrastructure are especially well-suited to this shift, providing programmable money, instant settlement, and open API access that traditional finance cannot easily offer to non-human market participants.

A PLATFORM FOR THE NEXT PHASE OF DIGITAL FINANCE

With the AI Service launch, VALR is positioning itself at the forefront of the digital economy, one that demands reliable, compliant infrastructure for both human users and AI participants to generate and exchange value seamlessly.

Farzam Ehsani, Co-Founder and CEO of VALR, said: “AI agents herald a significant expansion of the global economy. What was once reserved for humans is now open to intelligent, autonomous systems capable of creating and exchanging value at scale. VALR is proud to be at the forefront of this shift – where crypto and AI intersect – offering regulated, high-performance infrastructure that serves every participant in the digital economy: individuals, corporations, and now AI agents. This is how we build the next generation of humanity’s financial system that unlocks new frontiers of prosperity.”

For developers looking to integrate with VALR’s infrastructure, the open-source VALR Agent Skills repository is available at https://github.com/valrdotcom/valr-agent-skills.

It equips AI agents with the necessary context and tools to authenticate securely and interact with the VALR platform, in accordance with the Agent Skills Standard.