Cleric
AI SRE agent that investigates production issues and verifies fixes automatically
Cleric is a strong buy for mature engineering orgs with heavy alert volume and a solid observability stack. Its per-Issue pricing is predictable, and its verification engine builds real trust in autonomous actions. Named a Gartner Cool Vendor in AI for SRE. Alternatives like PagerDuty's SRE Agent or Grafana Assistant are more tied to their own ecosystems; Cleric's integration breadth and learning memory give it an edge. Smaller teams may balk at the $100/month entry, so validate with the 14-day trial.
Verified 16d ago · liveness 79/100 · cite: rightaichoice.com/tools/cleric
- SRE teams handling high alert volume across Kubernetes and microservices
- Engineering leaders wanting to reduce on-call fatigue and preserve institutional knowledge
- Platform teams needing automated root cause for deployment failures
- Organizations with mature observability stacks looking to accelerate incident response
- Small teams with low alert volume (ROI may not justify $100/month entry)
- Startups without established observability instrumentation (Datadog, PagerDuty, etc.)
- Teams needing real-time alerting without AI investigation (e.g., need basic paging)
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Skip Cleric if you don't have a mature observability stack (e.g., Datadog, PagerDuty) or Kubernetes—it can't investigate without reads into those systems, and the $100/month entry cost won't pay off at low alert volume.
Going past your monthly credit allocation costs $1 per credit, and since each Issue or change verification is 10 credits, a heavy month can add $1,000s quickly.
Cleric's per-action pricing (10 credits per Issue, $1/credit) is predictable for SRE teams with high alert volume; at $100/mo it's pricier than basic alerting but cheaper than hiring an extra engineer. For lower-volume teams, PagerDuty's SRE Agent may be more cost-effective, but Cleric's verification and learning memory justify the premium for mature orgs.
In short
Cleric — AI SRE agent that investigates production issues and verifies fixes automatically. Best for SRE teams handling high alert volume across Kubernetes and microservices, Engineering leaders wanting to reduce on-call fatigue and preserve institutional knowledge, Platform teams needing automated root cause for deployment failures. Plans from $100/mo.
What's new in Cleric
Checked 16 days agoAcross the latest 5 updates: 3 feature updates and 2 news mentions.
Our LLM judge scored worse than chance until we made it compare
Cleric ranks agent investigation traces by pairwise comparison with Elo scoring; grading traces individually scored worse than chance. This improves verification accuracy.
How we verify Cleric's production fixes
Cleric built a verifier that checks its fixes against production itself, distinguishing correct diagnosis from fixed problem.
You're renting your institutional knowledge
Cleric argues AI agents that rent knowledge via forward-deployed engineers are less valuable than those that compound verified memory in owned systems.
How Cleric uses Tailscale to securely automate software operations
Cleric uses Tailscale to grant its AI SRE access to private resources, mirroring human engineer access.
Stop Reviewing Agent Output. Start Reviewing Agent Decisions.
Cleric advises managing agents by reviewing decisions, not output, as the bottleneck shifts from code to judgment.
What people actually say about Cleric — is it worth it?
We scanned public community sources for Cleric on Aug 24, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Cleric? 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: September 2026
How we score →Key Features
- Automatic alert investigation and root cause analysis
- Verification engine checks fixes against live production
- Knowledge graph auto-maps services, dependencies, and ownership
- Compounding operational memory across incidents
- Custom Agents for release-readiness, flaky-test triage, spend anomaly
- Scheduled Monitors for recurring anomaly detection
- Slash Commands for on-demand investigation via Slack
- Read-only by default with auditable logs and confidence scoring
- SOC 2 Type II compliant, encrypted at rest/in transit
- Supports Kubernetes, AWS, Azure, GCP
- MCP Server for private resource access
- Tailscale integration for secure private resource automation
- Free actions for knowledge questions, system management, handoffs
- Runs inside Slack and integrates with on-call tools
- 14-day free trial on own production with 500 credits
About Cleric
Cleric is an AI Site Reliability Engineer that plugs into your observability and on-call stack—Slack, Datadog, PagerDuty, GitHub, Prometheus, and more—and automatically investigates production issues. When an alert fires or you trigger an investigation via Slack, Cleric queries logs, metrics, and system state to identify root causes, propose fixes, and verify them against live production. It runs inside Slack, supports on-demand investigations, scheduled monitors, and custom agents, and uses a knowledge graph to map your services, dependencies, and ownership. Every fix is verified with a confidence score, and each resolved issue compounds into institutional memory, making future investigations faster. Cleric is read-only by default, SOC 2 Type II compliant, and does not train on your data. It supports Kubernetes, AWS, Azure, and GCP, and offers an MCP server for private resource access. Cleric is built for SRE and platform teams drowning in alerts, who want to cut MTTR, reduce on-call fatigue, and preserve engineering knowledge. Its pricing is per resolved Issue—a flat 10 credits ($10), avoiding token-based unpredictability. Plans start at $100/month for 100 credits, with Team at $600/month, Pro at $2,000/month, and custom Enterprise options. A 14-day free trial includes 500 credits to run on your own production. What sets Cleric apart is its focus on verification and learning. The verification engine doesn't just suggest fixes; it checks them against the live environment to ensure they actually work, with accuracy measured rather than claimed. The operational memory compounds over time—every fix teaches Cleric something new, so investigations get faster and more accurate with each resolved incident. This makes it a learning asset, not just a reactive tool. Cleric also integrates with the AI coding ecosystem, sitting alongside tools like Cursor, Claude Codex, and GitHub. It watches changes ship to production and catches regressions while context is still fresh.
Behind the Verdict
Cleric is one of the few AI SRE tools that focuses on verification and compounding knowledge rather than just alert summarization. The core value proposition is clear: it checks every production change for regressions, investigates issues end-to-end, and verifies fixes against the live environment, with accuracy measured via its own judge (using Elo-based pairwise comparison, as detailed in their July 2026 blog). This is a differentiator versus tools that merely describe symptoms. The knowledge graph and operational memory mean every investigation makes the next one faster—a genuine moat. It works inside Slack, which matches how on-call teams already operate, and it integrates deeply with the modern AI coding stack (Cursor, Claude Codex, CodeRabbit) to catch regressions right after a deploy. Pricing is per-action (credits), which is predictable for budgeting, though the $10/Issue and $1/chat-minute can add up if you have high volume. The free trial gives 500 evaluation credits with no time limit, which is generous for testing on your own production. Where it doesn't fit: small teams with low alert volume or startups without established observability instrumentation (Datadog, PagerDuty) won't see ROI. Also, teams needing real-time alerting without AI investigation should stick with basic paging. The Team plan requires an annual contract, which is a commitment. Overall, Cleric is best for platform/SRE teams at 50+ engineer orgs running microservices in cloud environments who want to cut MTTR and preserve institutional knowledge.
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Real-world workflow fit
Concrete scenarios for the personas Cleric actually fits — and what changes day-one when you adopt it.
PagerDuty alert fires at 2am for elevated error rate on the checkout service.
Outcome: Cleric investigates automatically, correlates with a recent deploy, and posts a root cause analysis in Slack with a proposed fix—engineer approves and Cleric verifies the fix, reducing MTTR from hours to minutes.
New microservice deployed via Cursor, and the team wants to ensure no regressions slip through.
Outcome: Cleric watches the deployment, runs change verification, and if it detects a regression, investigates and proposes a fix—catching issues before customers notice and freeing the team to focus on new features.
Use Cases
- Investigate a PagerDuty alert autonomously and deliver a root cause analysis within minutes.
- On-demand troubleshoot a production slowdown by querying logs and metrics via Slack.
- Reduce MTTR by automatically correlating deployment changes with new errors.
- Coach junior engineers by letting them review Cleric's step-by-step reasoning and evidence.
- Build an institutional knowledge base of past incidents and resolutions.
- Verify that a fix has resolved the issue without introducing regressions.
- Automate release-readiness checks with custom agents.
- Run scheduled monitors for slow queries or anomaly detection.
Models Under the Hood
as of 2026-08-31
Limitations
- Cleric requires read access to your observability stack and Kubernetes; without these integrations, its investigative capabilities are severely limited.
- Credits are purchased in monthly plans starting at $100/month, and unused credits expire after one month (rolling over up to 2x monthly allocation).
- Credits cost $1 each on monthly plans and are consumed per change verification, issue investigation, or chat.
as of 2026-08-30
Verification history
We have re-verified Cleric 17 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
Showing the 6 most recent of 17 verification passes.
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 Cleric tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Starter
$100/mo
Ideal for
Solo SRE or small platform teams with moderate alert volume wanting to test change verification and issue investigation without a big commitment
What this tier adds
Starting tier at $100/mo for 100 credits; includes all integrations and MCP access, but no custom agents or scheduled runs.
Team
$600/mo
Ideal for
Growing SRE teams needing custom agents for specific alert routing and more credits per month
What this tier adds
Adds 600 credits/mo, custom agents, and alert routing; requires annual billing.
Pro
$2,000/mo
Ideal for
Platform teams with high alert volume needing scheduled monitors, private network access, and enterprise security features
What this tier adds
Adds 2,000 credits/mo, scheduled agents, private connector, SSO (Okta/SAML), audit log, and priority support.
Enterprise
Custom
Ideal for
Large organizations needing custom credit pools, data residency, DPA, and dedicated support
What this tier adds
Custom annual credits, custom retention and region, DPA/security review, and named CSM.
Where the pricing makes sense
The company stage and team size where Cleric's pricing actually pencils out — and where peers do it cheaper.
Cleric's per-action pricing (10 credits per Issue, $1/credit) is predictable for SRE teams with high alert volume; at $100/mo it's pricier than basic alerting but cheaper than hiring an extra engineer. For lower-volume teams, PagerDuty's SRE Agent may be more cost-effective, but Cleric's verification and learning memory justify the premium for mature orgs.
Setup time & first value
How long it actually takes to get something useful out of Cleric — broken out by persona, not the marketing-page minute.
Connect Slack, Datadog, PagerDuty, GitHub, and Kubernetes in an afternoon—most teams complete the core setup in under a day. Within a few hours you can trigger your first investigation; full trust and pattern learning build over the first few weeks as Cleric maps your services and accumulates incident history.
Switching to or from Cleric
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From PagerDuty's SRE Agent: Keep PagerDuty for paging, but point alert routing to Cleric for investigation; Cleric reads the same alert data and adds root cause analysis and fix verification.
- →From Grafana Assistant: Use Cleric as a deeper investigation layer on top of Grafana's dashboards; Cleric queries Prometheus and existing Grafana data for evidence.
- ↗To PagerDuty's SRE Agent: If you need tighter integration with PagerDuty's incident response, Cleric's data can be exported via its API, but you'll lose the knowledge graph and verification memory.
- ↗To manual processes: Use Cleric's investigation history to document runbooks, then adopt a simpler alerting tool if you outgrow per-action costs.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Cleric”, and we withheld 6: 6 could not be judged, because “Cleric” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Cleric.
Official links
Tools that pair well with Cleric
Common stack mates teams adopt alongside Cleric, with the specific reason each pairing earns its keep.
Alternatives to Cleric
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