About
CatchAgent watches your systems, workflows, and AI agents around the clock β so your team doesn't have to. It learns the normal behavior of your operations, detects anomalies the moment they appear, and either resolves them automatically or routes them to the right person with full context already attached.
Most operational failures are predictable. A queue backs up, a job silently times out, an API starts degrading β and nobody notices until a customer complains or a system goes down. CatchAgent closes that gap. Connect your infrastructure, SaaS tools, and internal workflows, and let the AI build the baselines, write the alerting rules, and execute the runbooks. You stay focused on building; CatchAgent stays focused on catching.
Key Features
Continuous Monitoring
Watches every workflow, queue, job, and integration 24/7. Learns what normal looks like and flags anything that deviates.
Catch Before It Breaks
Detects degradation patterns β slow queues, creeping error rates, missed SLAs β before they escalate into full incidents.
Auto-Remediation
Executes pre-approved runbooks automatically for known issue types: restart jobs, drain queues, scale resources, notify teams.
Smart Routing
When human action is needed, CatchAgent pages the right person with root cause, impact scope, and suggested fix already prepared.
Discussion 4
We used to get paged at 2am for things CatchAgent now resolves automatically. Our incident count dropped 60% in the first month. The baseline learning is genuinely impressive β it figured out our deployment patterns without any manual config.
The "catch before it breaks" framing is accurate. It flagged a slowly degrading third-party API three hours before it went down completely. We switched to a fallback before any users were affected.
Setup took under an hour. Connected our AWS environment, Datadog, and a few internal services. By the next morning it had already built baselines and caught a misconfigured cron job nobody knew was failing.
What sets this apart from other monitoring tools is the auto-remediation quality. It does not just alert β it acts. And when it escalates, the context it provides cuts our MTTR in half.