Struct
AI on-call agent that investigates and resolves alerts automatically
Struct is the most proactive AI on-call agent we've tested for teams already using Sentry or Datadog, offering genuinely useful investigation rather than just alert routing. The free tier is enough to trial real value, though $200/mo for Pro may feel steep for smaller teams. If your team lives in Slack and handles frequent complex alerts, this is worth a serious look.
Verified 2d ago · liveness 71/100 · cite: rightaichoice.com/tools/struct
- 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
- Teams that collaborate heavily in Slack
- Teams without an on-call rotation or alerting setup
- Organizations not using cloud observability tools
- Non-technical teams seeking a chat support tool
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Skip Struct if you don't have a formal on-call rotation or observability stack like Sentry/Datadog, or if your team isn't ready to trust AI-generated root cause analysis in production.
Going past your credit allowance (100 Free, 2,200 Pro) incurs pay-as-you-go charges, which can add up if alert volume spikes unexpectedly.
Struct's free tier (100 credits/mo) is a low-risk entry for startups exploring AI on-call triage, but at $200/mo for Pro it's pricier than per-seat tools like Sentry's AI features (which are bundled into existing plans) — better for teams with high alert volume than small shops.
In short
Struct — AI on-call agent that investigates and resolves 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.
What's new in Struct
Checked 2 days agoAcross the latest 3 updates: 1 feature update and 2 news mentions.
Struct vs Sentry: Seer, AIOps pricing, and honest comparison
Struct compares itself to Sentry, covering Seer and AIOps pricing, and positioning its runbook automation as a superior alternative for root cause analysis.
Struct vs Datadog: an honest comparison for startup engineering teams
Struct contrasts with Datadog, highlighting how its runbook automation provides root-cause analysis beyond alerting.
A blueprint for multi-tenant distributed agents
Struct details how it built customer-facing agent infrastructure for production readiness in multi-tenant environments.
What people actually say about Struct — is it worth it?
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) · researched Jul 3, 2026.
- +Automates repetitive runbook tasks, freeing engineers for higher-value work.
- +Integrates with popular observability and alerting platforms like Sentry and Datadog.
- +Slack-native collaboration enables side-by-side hypothesis testing during incidents.
- +Generates incident timelines with commit history and logs for faster context.
- +Intelligent deduplication reduces alert noise and prevents fatigue.
- −No real community reviews available to validate claims or expose flaws.
- −Contact-only pricing creates uncertainty for budget planning.
- −Reliability in production environments is completely unverified.
- −Tool is new and may lack maturity compared to established alternatives.
- −AI-driven analysis might produce false positives or miss nuanced issues.
- • No hidden costs reported due to lack of user feedback
Viability Score
How well maintained and how widely used is Struct? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Automatic incident investigation and root cause analysis
- Intelligent deduplication of related alerts
- Slack-native collaboration for hypothesis testing
- Incident timeline generation with commit history and logs
- Multi-tenant distributed agent architecture
- PR generation with clean builds
- Handoff to coding agents with full context
- On-call intelligence that improves over time
- Auto-monitoring & smart deduping (Pro)
- Credit-based usage (100 Free, 2200 Pro)
- SOC 2 and HIPAA compliance
- Logical data isolation, never trained on customer data
- Cloud log provider integration (Sentry, Datadog, etc.)
- Project management tool integration (Linear, Asana)
- GitHub integration for commit history and PRs
About Struct
Struct is an AI-powered on-call agent that automatically investigates and resolves alerts and incidents, freeing engineers from manual runbook execution. Designed for fast-moving engineering teams that use observability tools like Sentry and Datadog, Struct connects to your entire stack in minutes—including cloud logs, Slack, and project management tools—and starts working immediately. When an alert fires, Struct proactively investigates, deduplicates related issues, and delivers a root cause and customer impact analysis directly in Slack, so you can respond faster and ship more. It goes beyond simple alert triage: you can collaborate side-by-side with Struct in Slack to test hypotheses, dive deeper into incident timelines, commit histories, and log queries, or generate a clean PR with one click. Struct learns from past incidents and builds on-call intelligence that improves over time, making it a genuine alternative to traditional runbook automation and alert-routing platforms. Deployed on a multi-tenant distributed agent architecture, it's built for production-scale reliability and is SOC 2 and HIPAA compliant. With a free tier and a $200/month Pro plan (2,200 credits), Struct is positioned for startups and scale-ups that want to cut investigation time without hiring more on-call engineers.
Behind the Verdict
Struct earns its place as a serious tool for engineering teams drowning in on-call alerts. The core value is clear: it doesn't just route alerts—it investigates them, dedupes related issues, and hands you a root cause and customer impact analysis in Slack within minutes. For teams using Sentry or Datadog, this is a direct hit on a very real pain point: the hours engineers spend manually triaging the same recurring issues. Strengths: The Slack-native collaboration is the standout. You can probe Struct's reasoning, test alternative hypotheses, and pull up incident timelines, commit histories, and log queries without leaving your chat. The one-click PR generation (that "always builds cleanly") and handoff to your own coding agent is a genuinely useful bridge from investigation to fix. The on-call intelligence that improves from your past issues means the tool gets better the longer you use it. Security-wise, logical isolation and SOC 2/HIPAA compliance make it palatable for regulated environments. Weaknesses: The $200/month Pro tier is a real jump from the free tier and may be hard to justify for small teams or low alert volumes. Credit-based usage (100 free, 2,200 Pro) means heavy users may need to watch consumption. The AI's effectiveness depends entirely on the depth of your integrations and alert data quality—if your observability setup is messy, Struct's insights will be too. Where it fits: Best for DevOps/SRE teams and fast-moving startups that already live in Slack, use Sentry/Datadog, and want to reduce on-call toil without hiring more engineers. It's also a strong fit for teams that want to investigate every alert (like Arcana's "no exceptions" policy) without burning senior engineering hours. Where it doesn't fit: Teams without a formal on-call rotation, those not using major observability tools, or organizations that need deep custom integration support beyond the listed platforms. Non-technical teams looking for a chat support tool should look elsewhere. Bottom line: Struct is a legitimate step beyond runbook automation. If you're already in the Sentry/Datadog ecosystem and your team is alert-fatigued, the free tier is worth a trial—just budget for the Pro jump if you find real value.
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Real-world workflow fit
Concrete scenarios for the personas Struct actually fits — and what changes day-one when you adopt it.
You get paged at 2 AM for a Sentry error spike. Struct has already investigated, deduped related issues, and posted a root cause and customer impact analysis in Slack before you open your laptop.
Outcome: You validate the analysis, click to generate a clean PR, and hand off to a coding agent — resolving the incident in minutes instead of hours of manual triage.
Your team is investigating every alert but drowning in manual toil. You connect Struct to Datadog, Slack, and Linear, and set up auto-monitoring on the Pro tier.
Outcome: Struct dedupes recurring issues, creates Linear tasks automatically, and your senior engineers reclaim hours for higher-leverage work, as seen at Arcana and Fermat.
You're on-call for the first time and facing a complex, stateful alert. You use Struct's Slack collaboration to test hypotheses and pull incident timelines.
Outcome: You narrow down the root cause with Struct's guidance and resolve the issue with confidence, even with limited on-call experience.
Use Cases
- Automatically investigate every on-call alert within minutes
- Collaborate with an AI agent in Slack to test hypotheses during incidents
- Dedup related alerts to reduce noise and focus on real issues
- Generate root cause and customer impact reports for postmortems
- Integrate alerting with project management tools to auto-create tasks
- Build multi-tenant distributed agents to scale customer-facing incident response
Limitations
- Struct automatically investigates on-call alerts, but its AI model quality depends on the depth of integrations and alert data quality.
- While it supports many observability platforms, custom or rare systems may not be fully covered.
- Pricing requires contacting sales, which may limit immediate access for small teams.
as of 2026-08-21
Verification history
We have re-verified Struct 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Struct tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo developer or small team wanting to test Struct's on-demand investigation on a few alerts without committing budget.
What this tier adds
Starting tier: 100 credits/mo (then PAYG), 1 user, 1 alert channel, basic integrations, community support.
Pro
$200/mo
Ideal for
Fast-moving startups and scale-ups with multiple engineers on-call who want automated monitoring, deduping, and Slack support.
What this tier adds
Adds 2,200 credits/mo (10% bonus), auto-monitoring & smart deduping, up to 10 users, unlimited alert channels, all integrations, dedicated Slack support.
Where the pricing makes sense
The company stage and team size where Struct's pricing actually pencils out — and where peers do it cheaper.
Struct's free tier (100 credits/mo) is a low-risk entry for startups exploring AI on-call triage, but at $200/mo for Pro it's pricier than per-seat tools like Sentry's AI features (which are bundled into existing plans) — better for teams with high alert volume than small shops.
Setup time & first value
How long it actually takes to get something useful out of Struct — broken out by persona, not the marketing-page minute.
Set up in minutes: connect Sentry or Datadog, Slack, and GitHub via OAuth. Most teams see first investigations within 15-30 minutes. Pro tier adds auto-monitoring and smart deduping immediately; deeper custom integrations may take longer.
Switching to or from Struct
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual runbook processes: Document your alert-handling playbooks and let Struct absorb them as context for future investigations.
- →From a basic alert-routing tool like PagerDuty: Keep PagerDuty for paging, but route alerts to Struct for investigation and root-cause analysis.
- ↗To Sentry's own AI features (Seer): Export your resolved incident reports and root cause analyses for reference; Sentry's AI is bundled with existing plans.
- ↗To Datadog's AIOps: Transfer your investigation history and custom integration scripts if you need deeper APM-native tooling.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Struct
Common stack mates teams adopt alongside Struct, with the specific reason each pairing earns its keep.
Deeptrace
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Relvy AI
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Resolve AI
Autonomous AI agents for on-call, incident response, and production ops—cut MTTR and let engineers get back to building.
Featured Head-to-Head Comparisons
Struct vs Spider Cloud
If your pain is on-call alert fatigue and you live in Slack, pick Struct — it automates root cause analysis in minutes with SOC 2 bite. If you need to feed fresh web data to AI agents or RAG pipelines at scale, Spider Cloud's Rust engine and $0.03/1k pages crush it. They solve different problems, so choose the category that matches your daily workflow.
Struct vs Presto Voice
Presto Voice and Struct serve completely different domains: Presto automates drive-thru ordering with voice AI, while Struct automates on-call incident response. Your choice depends on whether you run a QSR chain seeking up to 95% non-intervention and 6% revenue lift, or an engineering team wanting automatic root cause analysis in Slack. There is no overlap in use case.
Struct vs Temporal Ai
For teams building custom, resilient AI agents or multi-step workflows that must survive failures, Temporal AI is the clear choice with its mature durable execution engine and broad SDK support. However, if your primary pain point is on-call alert fatigue and you need an out-of-the-box agent to investigate and resolve incidents automatically, Struct delivers immediate value with deep observability integrations and Slack-native collaboration. Choose Temporal for platform building; choose Struct for alert remediation.
Alternatives to Struct
View allRelvy AI
Autonomous AI on-call engineer that investigates alerts and creates auditable notebooks.
Resolve AI
Autonomous AI agents for on-call, incident response, and production ops—cut MTTR and let engineers get back to building.
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