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Rootly Makes API AI-Agent-First

Rootly is taking another step forward in its AI-first approach by making its API AI-Agent-First. 

Rootly has implemented the Agents JSON standard, ensuring that LLM agents can interact with its API to the full extent, including complex requests that agents could not perform natively. This enables Rootly customers to perform more intelligent and autonomous incident management via their AI-powered automation tools and co-pilots. This comes in complement of exposing OpenAPI Specification (OAS) that defines a standard, language-agnostic interface to its HTTP APIs.

"The way companies interact with APIs is shifting," said JJ Tang, CEO at Rootly. "Instead of traditional software making API calls, LLM agents are now handling these interactions. Making our API agent-friendly ensures our customers can embrace this shift, integrating Rootly into their AI-driven workflows."

This advancement aligns with Rootly’s commitment to AX, unlocking new possibilities for incident responders and platform administrators.

For incident practitioners, this means AI agents can now gather, filter, and organize Rootly data across the entire platform—enabling deeper insights and faster decision-making. Teams can dynamically interact with data incidents, leveraging multifaceted AI-driven analysis to improve reliability and response strategies.

For platform administrators, configuring incident management automation workflows, policies, and settings becomes more intuitive with an AI-powered assistant. Rather than navigating complex interfaces, admins can rely on an AI agent to streamline setup, suggest optimized workflows, and provide guidance on system configurations—all through a natural, conversational interface.

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Rootly Makes API AI-Agent-First

Rootly is taking another step forward in its AI-first approach by making its API AI-Agent-First. 

Rootly has implemented the Agents JSON standard, ensuring that LLM agents can interact with its API to the full extent, including complex requests that agents could not perform natively. This enables Rootly customers to perform more intelligent and autonomous incident management via their AI-powered automation tools and co-pilots. This comes in complement of exposing OpenAPI Specification (OAS) that defines a standard, language-agnostic interface to its HTTP APIs.

"The way companies interact with APIs is shifting," said JJ Tang, CEO at Rootly. "Instead of traditional software making API calls, LLM agents are now handling these interactions. Making our API agent-friendly ensures our customers can embrace this shift, integrating Rootly into their AI-driven workflows."

This advancement aligns with Rootly’s commitment to AX, unlocking new possibilities for incident responders and platform administrators.

For incident practitioners, this means AI agents can now gather, filter, and organize Rootly data across the entire platform—enabling deeper insights and faster decision-making. Teams can dynamically interact with data incidents, leveraging multifaceted AI-driven analysis to improve reliability and response strategies.

For platform administrators, configuring incident management automation workflows, policies, and settings becomes more intuitive with an AI-powered assistant. Rather than navigating complex interfaces, admins can rely on an AI agent to streamline setup, suggest optimized workflows, and provide guidance on system configurations—all through a natural, conversational interface.

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Industry experts offer predictions on how NetOps and NPM will evolve and impact business in 2026. Part 2 covers NetOps challenges and the edge ...

APMdigest's Predictions Series continues with 2026 NetOps Predictions — industry experts offer predictions on how NetOps and Network Performance Management (NPM) will evolve and impact business in 2026 ...

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