Broad context ingestion
Connects observability, alerting, cloud logging, and work tools so Struct can investigate incidents with context from across the stack.
Struct
ClaimStruct is an AI on-call agent that investigates alerts with logs, metrics, traces, code, and work tools for faster triage and root-cause analysis.
What Struct is
Struct is an AI on-call agent that automates the first stages of alert investigation. It cross-references logs, metrics, traces, code, and related work tools to identify likely root causes, summarize customer impact, and reduce manual triage for engineering teams.
The product is positioned for fast-moving teams that want to handle Sentry-style alerts without spending hours in investigation loops. Its workflow starts with connecting tools such as observability platforms, cloud logs, and Slack, then lets Struct surface an investigation in minutes and support deeper follow-up inside the incident thread.
Features
Automated incident investigation
Automatically investigates alerts as they happen, dedupes related issues, and returns a root-cause and customer-impact analysis within minutes.
Interactive Slack investigation
Supports iterative debugging in Slack, where engineers can ask Struct to explore alternative hypotheses or dig deeper into the investigation.
Deeper evidence review
Shows incident timelines, commit history, and log queries to help teams understand how an alert maps back to code and runtime behavior.
Fix or hand off with context
Offers one-click PR creation or handoff to a coding agent, with investigation context included for the next step in remediation.
Security and data handling
Keeps data logically isolated and says it is not trained on customer data, with SOC2 and HIPAA compliance stated on the homepage.
Use Cases
High-volume alert triage
Useful when a team wants every Sentry alert investigated consistently, without a senior engineer manually checking each one.
Deep incident investigation
Helpful for stateful or complex incidents where engineers need timelines, commits, and logs before deciding on next steps.
Slack-first collaboration
Fits teams that want to keep working in Slack while Struct posts an investigation summary and supports follow-up questions in-thread.
Remediation handoff
Supports teams that need to hand off a likely fix quickly, either by creating a PR or passing the work to another coding agent with context.
Pros and Cons
Pros
- Automatically investigates alerts as they occur instead of waiting for manual triage.
- Combines multiple sources of context, including logs, metrics, traces, commit history, and work tools.
- Can dedupe related issues and provide a root-cause plus customer-impact summary.
- Supports collaboration in Slack for deeper investigation and hypothesis testing.
- Can create PRs or hand off work with context for remediation.
Cons
- The pricing page at `/pricing` returns a 404, so the full plan structure and pricing details are not confirmed in the available sources.
- The source material gives only partial integration coverage beyond a few named examples, so fit with a specific stack may need verification.
FAQ
What does Struct do?
Struct is built to investigate on-call alerts automatically by pulling in logs, metrics, traces, code context, and related work items. The source materials show it can post a root-cause and customer-impact analysis, then let engineers continue the investigation in Slack.
What tools can Struct connect to?
The homepage says Struct supports leading observability and alerting platforms such as Sentry and Datadog, plus cloud log providers and work tools like Slack, Linear, Asana, and GitHub. The Arcana case study confirms an integration with Sentry, GitHub, GCP Cloud Logging, and Slack.
Who is Struct for?
The product is aimed at engineering teams handling on-call alerts, incidents, and bug triage. The site positions it as a way to reduce manual investigation so engineers can focus on shipping.
What does Struct cost?
The source materials show a free starting point with on-demand investigations and a credit-based usage model, but the pricing page itself returns a 404. The exact paid pricing structure and plan limits are not confirmed in the available sources.
Can Struct help fix issues after it finds a root cause?
Struct can create clean-building PRs or hand off a task to a coding agent with the full investigation context included. The homepage also describes deeper investigation in Slack with timelines, commit history, and log queries.
Quick Facts
- Category
- Developer Tool
- Primary users
- Engineering teams handling on-call alerts
- Core workflow
- Connect observability and work tools, then let Struct investigate alerts automatically
- Notable integrations
- Sentry, Datadog, Slack, Linear, Asana, GitHub, cloud log providers
- Pricing evidence
- Free start with on-demand investigations and a credit-based model is shown; detailed pricing is not available from the pricing page
- Source domain
- struct.ai