Why per-minute billing for Custom Work?

Custom Work covers automations you direct: scheduled monitors, custom agents, slash commands. The cost depends on how long the agent actually runs, so you pay for the time it works, not for it being available.

How does the free trial work?

14 days on your own production, 500 credits. Cleric joins your existing on-call rotation. Day 12 is a trial review with your team; by day 14 your team has the data to decide.

What happens at the end of the annual contract?

The contract is 12 months and auto-renews. Renewal mechanics, notice periods, and any true-up are covered in the Order Form.

ClericAutonoomne AI SRE, mis triage'erib tootearrendusid ja tuvastab juurpõhjused

4.8 (6)

Vaadanud Daniel Nikulshyn·Uuendatud juuli 2026

DevOps SRE Observability Incident Response Cloud Native Monitoring AI Agent

Ülevaade

Cleric on tehisintellektil põhinev saidi usaldusväärsuse insener, kes uurib automaatselt tootmishoiatusi hetkel, kui need käivitati. See ühendub teie olemasoleva jälgitavuse virnaga, korreleerib signaale logides, mõõdikutes ja jälgides ning töötab läbi hüpoteese nii, nagu seda teeks kutselinsener. Insenerite ärkama panemise asemel iga lehekülje jaoks teostab Cleric esialgse triaaži, kitsendab tõenäolisi põhjuseid ja annab kokkuvõtte koos toetavate tõenditega. Meeskonnad saavad üle vaadata selle põhjendused, kinnitada leiud ja tegutseda kiiremini, vähendades keskmist aega lahenduse leidmiseks ja valves olles väsimust. Komplekssete pilvepõhiste süsteemidega töötavate insenerimeeskondade jaoks on Cleric loodud käsitlema intsidentidele reageerimise korduvat uurimistööd, et SRE-d ja arendajad saaksid keskenduda pigem süsteemide loomisele ja parandamisele kui armatuurlaudade uurimisele.

Põhifunktsioonid

Autonoomne hoiatustriage
Juurpõhjuse hüpoteesi genereerimine
Integreerimine observability platvormidega
Signalide ristkorrelatsioon logides, mõõdikutes ja jälgides
Inimesele loetavad juhtumikokkuvõtted
Jätkusuulune õpe tootearendustest

Hinnad

Mudel: Freemium
Kategooria: Ai Agentid
Hinnang: 4.8 / 5 (6)

Kasutusjuhud

Automatiseeritud töölisena hoiatustriage

Kui tootearrendusid aktiveeritakse, uurib Cleric automaatselt ja tuvastab tõenäolisid juurpõhjused, vähendades vajadust insenere igale kaardilävele äratama.

Ristsignaali juurpõhjuse analüüs

Korreleerib logides, mõõdikutes ja jälgides kogu teie observability stacki, et genereerida juurpõhjuste hüpoteese toetatud tõenditega.

Keskmise lahendamise aja vähendamine

Esitab lühikese, inimloetava juhtumikokkuvõtte, võimaldades inseneridel kiiresti leidmeid kinnitada ja tegutseda, lühendades MTTR keerukatel pilvepõhistel süsteemidel.

Töölisena väsimuse vähendamine

Haldab korduvat algset uurimistööd insenermeeskondade jaoks, vabastades töölisena töötavaid inimesi keskenduma kriitilistele juhtumitele, mis vajavad inimlikku otsustamist.

Plussid ja miinused

Plussid

Vähendab töölisena koormust automaatse esialgse triage'iga
Uurib logides, mõõdikutes ja jälgides
Esitab põhjenduse ja tõendid leidmete jaoks
Kiirendab keskmist lahendamise aega
Integreerub olemasolevate observability tööriistadega

Miinused

Tõhusus sõltub telemetriaandmete kvaliteedist
Vaatab siiski kriitiliste juhtumite puhul inimulikku ülevaadet
Piiratud väärtus meeskondadele, kellel puudub valmis monitorimine
Võib vajada kohandamist unikaalsete keskkondade jaoks

Arvustused

4.8

Keskmine 6 hinnangust.

Logi sisse arvustuse jätmiseks.

Joanna Kowalski

Jan 30, 2026

Solid for our team

We rolled this out across the team last quarter and reduces on-call burden by automating initial triage. Autonomous alert triage fits neatly into how we already work, and integration with observability platforms removed a step we used to do by hand. but it has held up under daily use.

Pierre Dubois

Sep 20, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: root cause hypothesis generation and integrates with existing observability tools. On balance the feature set — especially continuous learning from production environment — justifies the 5 stars for our use case.

Kwame Mensah

Sep 6, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: integration with observability platforms and provides reasoning and evidence for findings. On balance the feature set — especially continuous learning from production environment — justifies the 5 stars for our use case.

Omar Haddad

Jul 29, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is integration with observability platforms — handled better than most — and reduces on-call burden by automating initial triage. Still requires human review for critical incidents is my one real gripe. Worth the time if this is your use case.

Tomáš Novák

Jun 25, 2025

Does the job

Pretty happy overall. Continuous learning from production environment just works and integrates with existing observability tools. but no dealbreakers — I'd recommend it to a friend without hesitating.

Aaliyah Johnson

Jun 8, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: human-readable incident summaries and investigates across logs, metrics, and traces. On balance the feature set — especially cross-signal correlation across logs, metrics, traces — justifies the 5 stars for our use case.

Küsimused

What does Cleric do for free?

Three categories. Knowledge questions, like “what services depend on the orders API?” System management, like muting an alert or updating Cleric’s memory. Handoffs, like creating a Linear ticket, opening a PR, or posting a Slack message. If it isn’t operational work, we don’t bill for it.

Asked by Quoc Bui · Mar 8, 2026

What counts as an Issue?

An Issue is a defined operational problem Cleric takes end to end. A page from PagerDuty. An anomaly detected by a scheduled monitor. A failed deploy. Cleric investigates, finds root cause, verifies the finding, and proposes a fix. One Issue, one price, no matter how many passes the agent needs.

Asked by Kirsi Laine · Mar 8, 2026

What if Cleric gets it wrong?

Push back and Cleric keeps working the same Issue. We take the risk on getting it right, so a second pass doesn’t cost you more.

Asked by Wei Chen · Feb 18, 2026

What happens if I run out of credits?

Credits roll over one month, capped at 2× your monthly allocation. If you exceed your annual bucket, you can buy more credits, set a hard cap to block new work, or upgrade. Overages are billed on the next invoice and require written sign-off.

Asked by Hannah Goldberg · Jan 30, 2026

Do you train on our data?

No. Customer data is never used to train or improve underlying models. After an evaluation ends, if you don’t continue, we contractually commit to deleting your data. Full security and privacy policy at docs.cleric.ai/security.

Asked by Amara Chukwu · Jan 7, 2026