Rival Systems (“Rival”), a leading provider of multi-asset trading and risk management technology, has introduced Rival One AI Skills to transform how users build and interact with trading applications. With this latest release, the company enables seamless integration of its API knowledge into widely used AI coding agents such as Cursor, Claude, and Codex. As a result, both technical and non-technical users can now develop and extend trading applications more efficiently using the Rival One WebSocket API.

Notably, Rival designed these AI Skills to enhance the performance of AI coding agents by embedding domain-specific intelligence directly into them. Consequently, these agents gain the contextual understanding required to generate accurate code and guide integrations with the Rival One platform. In practice, users can leverage these capabilities to subscribe to market data, submit orders, access positions and trades, calculate margin requirements, and work with real-time risk metrics. This streamlined approach significantly reduces the complexity traditionally associated with trading system development.

Moreover, this innovation reflects a broader shift in how financial technology platforms are evolving alongside artificial intelligence. By integrating API-specific knowledge into AI tools, Rival ensures that users can automate development tasks while maintaining precision and reliability. Therefore, organizations can accelerate development cycles without compromising on performance or compliance.

“AI is fundamentally changing how trading applications are built,” said Rob D’Arco, CEO of Rival Systems. “With Rival One AI Skills, we are enabling AI coding agents to understand our API so both developers and non-developers can quickly build powerful trading and risk applications. By combining a single API for trading futures, equities, and options with connectivity to multiple brokers and exchanges, and integrating that capability directly into tools like Cursor, Claude, and Codex, we are lowering the barrier to entry and accelerating innovation across the industry.”

In addition, the release includes the RivalOne AI Skills GitHub repository, which offers structured context, practical examples, and clear implementation guidance. This repository allows AI coding agents to directly utilize Rival’s API knowledge, thereby improving development accuracy and efficiency. Furthermore, it serves as a valuable resource for teams aiming to adopt AI-driven workflows in trading environments.

Ultimately, this launch underscores Rival’s ongoing commitment to expanding its API ecosystem. By simplifying integration and empowering users with AI-driven tools, the company continues to make trading technology more accessible. At the same time, it reinforces its position at the forefront of innovation, enabling clients to build smarter, faster, and more scalable trading solutions in an increasingly AI-powered landscape.

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