Rival Systems (“Rival”), a leading provider of multi-asset trading and risk management technology, today announced the release of Rival One AI Skills, enabling users to integrate Rival’s API knowledge directly into leading AI coding agents such as Cursor, Claude, and Codex. By embedding domain specific knowledge into AI agents, both technical and non-technical users can easily build, extend, and interact with trading applications powered by the Rival One WebSocket API.
Rival One AI Skills are designed to enhance the capabilities of AI coding agents by providing the context they need to accurately generate code and guide integrations with the Rival One platform. With this embedded knowledge, AI agents can assist with subscribing to market data, submitting orders, accessing positions and trades, calculating margin, and working with real-time risk metrics.
“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.”
The release includes the RivalOne AI Skills GitHub repository, which provides structured context, examples, and implementation guidance that can be used directly by AI coding agents when working with Rival’s API.
This release reflects Rival’s continued focus on expanding its API ecosystem and making it easier for clients to build and innovate using modern AI driven workflows.
The Rival One AI Skills repository is available now on GitHub: Explore the repository
For more information about Rival One and Rival’s trading and risk solutions, visit www.rivalsystems.com.
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