Snag bugs instantly. Squash them faster. Ship with confidence.
Open source observability built on OpenTelemetry
Stage
Established
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Founded
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Based in
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US
Pricing model
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Freemium
Pricing
BugSnag offers a Free tier for solo users and passion projects, a Select tier starting at $0/month for smaller teams, a Preferred tier (most popular) for larger teams, and custom Enterprise plans. Pricing is based on monthly events for error monitoring and spans for performance monitoring, with tran
Startup: $39/month with 100 GB per signal (logs, traces, metrics), then $0.30/GB. Browser sessions: 5,000 included, then $0.002/session. Product events: 1M included, then $5/1M. AI usage: $10/month included, then billed per model by tokens used. 14-day free trial available. Enterprise plans availabl
Key features
Error monitoring with severity prioritization and user impact analysis
Real user monitoring showing application interactions
Automatic system metrics tracking CPU, memory, and rendering
Distributed tracing with waterfall graphs for all API and database calls
OpenTelemetry compatibility for flexible data ownership
Distributed tracing with service map
Log search with structured filtering
Metrics dashboards and visualization
Error tracking with issue grouping
Session replay for browsers and mobile apps
Kubernetes monitoring and Helm chart
Alerting with multiple destinations
AI agent integration via MCP server
Web analytics and product event tracking
What makes it different
Stability scores show app health at a glance to decide when to ship versus when to fix
AI-powered fix suggestions integrated into IDE via SmartBear MCP server
Predictable pricing with burst protection prevents surprise bills during traffic spikes
50+ platform support including mobile, web, desktop, and server applications
One-click correlation between crashes and traces eliminates guesswork about root causes
No proprietary agents - uses standard OpenTelemetry with no vendor lock-in
Open source with FSL-1.1 license converting to Apache 2.0 after two years
Single plan with predictable usage-based pricing and no per-seat or per-host fees
AI agent integration with Model Context Protocol for automation
Maple