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Title: UptimeGet Launches AI Root Cause Analysis to Help Teams Resolve Website and API Outages Up to 3x Faster

United States, 9th Oct 2026 - UptimeGet, a website and API uptime monitoring platform, today announced the launch of AI Root Cause Analysis. The new feature helps teams understand why an outage happened, not just that it happened, and the company says it can help them resolve incidents up to three times faster.The problem: knowing something is down is not enoughFor most online businesses, website or API downtime costs money and customer trust. Traditional monitoring tools tell teams when a service has failed. Engineers are then left to dig through logs, dashboards and alerts to find the source of the problem, often under pressure and while customers are affected.That investigation is usually the slowest part of an incident. UptimeGet built AI Root Cause Analysis to shorten it.How AI Root Cause Analysis worksWhen an incident occurs, UptimeGet correlates failures across a team's monitored services and points to the most likely cause. Engineers get a clear starting point and full incident context instead of a bare "down" notification. Teams can spend less time searching and more time fixing, which reduces mean time to resolution (MTTR)."Knowing your site is down is only half the problem," said [NAME], [TITLE] at UptimeGet. "Teams need to know why, and they need to know quickly. AI Root Cause Analysis gives engineers a clear starting point so they spend their time fixing the problem instead of searching for it. That is the difference between a short interruption and a long outage."Built on fast, reliable detectionThe new feature works alongside the monitoring foundation UptimeGet already provides:Checks every 30 seconds: Sites and APIs are tested every 30 seconds, so teams learn about a failure before users start complaining.Multi-location confirmation: Failures are confirm...

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