StatusCake Free pricing & rate limits

StatusCake’s pricing model shifts away from standard monthly subscriptions toward a tiered structure that requires direct contact with sales for enterprise-grade features. At the entry level, the platform offers a $0.00/mo baseline tier that functions as a baseline for basic health checks. This tier includes 3 monitored targets and 1 user seat. While the base tier is restricted, it does provide Unlimited incident volume, which is a significant outlier compared to competing monitoring services that often throttle alerts based on total volume or SMS credits.

• Scaling your monitoring footprint beyond the 3 included targets forces a transition to paid plans, where pricing is determined by the specific number of uptime checks required.
• The platform does not charge for the number of alerts sent, meaning you can trigger Unlimited incident notifications via email or third-party integrations without incurring per-incident penalties.
• Additional team seats beyond the 1 included account are gated behind higher-tier enterprise contracts, which often involve negotiation based on total organization size rather than fixed unit costs.
• Check intervals on the free tier are generally locked to 5 minutes, while moving to paid plans allows for 30 second intervals, a necessary requirement for spotting micro-outages in high-availability environments.

This service is best suited for small teams or solo developers needing to track a handful of endpoints without worrying about alert fatigue or variable costs per notification. Because StatusCake avoids the per-alert billing models found in some legacy monitoring tools, it remains predictable for services that experience frequent, minor flapping. If your infrastructure exceeds the 3 target limit, you are essentially forced into a custom sales conversation where individual check costs become the primary driver of your monthly expenditure. It performs best when monitoring static public-facing APIs where the primary goal is uptime verification rather than deep-stack performance analysis.