Struct
AI on-call agent that automates root-cause analysis for engineering alerts.
Score
60
User Rating
3.0
Free/Trial Support
Not Supported
Starting Price
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Last Updated
Aug 14, 2026
Overview
What is Struct?
Struct is an AI-powered on-call agent designed to automate the root-cause analysis of engineering alerts. By cross-referencing logs, metrics, traces, and the codebase, it identifies the source of bugs and alerts proactively. It integrates with existing DevOps workflows like Slack, Datadog, and GitHub to provide impact analysis and suggested fixes, helping teams resolve incidents faster with a composable and customizable system that deploys in minutes.
What is Struct used for?
Tags
Top Features
- Automated root-cause analysis using logs, metrics, traces, and code
- Integration with leading observability platforms (Datadog, Sentry) and work tools (Slack, GitHub)
- One-click PR creation for fixes or handoff to coding agents
- On-call intelligence that improves over time from past investigations
- Secure by design with SOC2 Type II and HIPAA compliance
How to use Struct?
Integrate Struct with your existing observability stack (e.g., Sentry, Datadog) and communication tools like Slack. Struct will then automatically investigate engineering alerts as they occur, replying with a root cause, impact analysis, and suggested fix. Users can also @mention Struct to investigate issues on-demand.
Alternative Tools
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Pros & Cons
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Use Cases
- Automating on-call runbooks to reduce manual triage
- Proactively investigating production bugs and engineering alerts
- Generating suggested fixes and PRs for identified incidents
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