Error rate over time
per 1k views, stacked by class- Uncaught
- Rejection
- Console error
Product tour · Epsilon Delta Gemini · Website monitoring
JS errors groups real-user JavaScript failures by message and class, with how many views each one affects, its trend and when it first appeared, so you fix the errors with the widest reach first.
“Which real errors hurt the most users?”
| Error | Class | Rate | Occurrences | Users |
|---|---|---|---|---|
| Uncaught Error: Minified React error #418 | Uncaught | 47.9 | 50,672 | 9.7% |
| TypeError: Cannot read properties of null (reading 'addEventListener') | Uncaught | 45.2 | 47,877 | 4.5% |
| Unhandled rejection: [object HTMLScriptElement] | Rejection | 40.6 | 42,983 | 4.1% |
| Failed to load static props | Console | 25.0 | 26,430 | 1.9% |
| ReferenceError: updateWebView is not defined | Uncaught | 11.8 | 12,479 | 0.9% |
Sample data on example domains (shop.example.com). Your dashboard shows your own sites and apps.
By message and error class, so one bug appears once with its total reach.
Yes. One filter removes suspected bot traffic from error counts.
Last updated 6 Nov 2026 · Reviewed by [Name], [Role]