
AI agent that investigates and resolves on-call alerts automatically.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
Struct — AI agent that investigates and resolves on-call alerts automatically. Best for DevOps and SRE teams handling frequent alerts, Engineering teams using Sentry or Datadog for observability, Fast-moving startups wanting to reduce on-call investigation time. Free to start; paid plans from $200/mo.
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Best on-call AI agent we've tested for teams drowning in Sentry and Datadog alerts. The free tier is generous enough to trial, but the Pro tier's $200/mo may feel steep for small teams.
Compare with: Struct vs Resolve AI, Struct vs Spider Cloud, Struct vs Truleo
Last verified: July 2026
Across the latest 1 update: 1 feature update.
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
62 mentions across 3 sources (Hacker News, App Store, Lemmy).
How likely is Struct to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Struct is an AI-powered on-call agent that proactively investigates and resolves alerts and incidents, freeing engineers from manual runbook execution. It integrates with your entire stack in minutes, including observability platforms (Sentry, Datadog), cloud logs, and work tools (Slack, Linear, Asana, GitHub). When an alert fires, Struct automatically investigates, deduplicates related issues, and provides root cause and customer impact analysis in Slack. Engineers can collaborate side-by-side with Struct to test alternative hypotheses, dive deeper into incident timelines, commit histories, and log queries. Struct uses a multi-tenant distributed agent architecture for production-scale reliability, and is SOC 2 and HIPAA compliant. Designed for fast-moving engineering teams, Struct reduces hours of investigation per engineer each week, allowing teams to focus on shipping. Unlike traditional runbook automation, Struct learns from past incidents to improve intelligence over time, and can even generate clean PRs or hand off context to coding agents.
Struct hits a sweet spot that most AI incident response tools miss: it actually does the investigation, not just triage. The automatic dedup and root cause analysis in Slack saves serious time, especially for teams with high alert volumes from Sentry or Datadog. We particularly like that it builds incident intelligence over time — it learns from past issues, which makes it smarter the longer you use it. The ability to generate a clean PR or handoff to a coding agent is a nice touch for closing the loop. That said, the pricing is a sticking point. The free tier (100 credits/mo, 1 user, 1 alert channel) is fine for evaluation, but the Pro tier jumps to $200/mo for 2,200 credits and up to 10 users. For a small startup, that's a meaningful cost. Also, Struct is heavily Slack-centric — if your team doesn't live in Slack, you lose the collaborative interface. Its integrations are solid but not exhaustive: it works best with Sentry and Datadog, but if you use PagerDuty or Opsgenie as your alert router, you'll need to check compatibility. Compared to alternatives like PagerDuty's AIOps or OpsRamp, Struct is more proactive and agent-driven, but those tools offer broader incident management features. For teams that already have an incident management platform and just want a smart investigation agent, Struct is a strong addition.
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