Your users should know when the AI is down
When your LLM starts hallucinating, your agent stops responding, or your embedding service goes down — your users need to know. ups.dev is the only status page built specifically for AI-native teams.
Why AI teams need purpose-built status pages
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AI systems fail differently — model timeouts, reasoning loops, context overflow, and rate limits aren't traditional outages
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Users need to know if degraded AI performance is on your end or theirs
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Enterprise customers expect transparency about which model providers you depend on
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Agent-based architectures have multiple failure modes that generic status pages can't represent
Built for teams shipping AI products
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Agent component monitoring — track model provider, latency, error rate, and reasoning mode per component
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AI-specific incident templates — timeout, reasoning loop, tool failure, context limit, rate limit, auth failure
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MCP protocol integration — Claude Code, Cursor, and other AI tools can read and update your status page
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Model-aware status — show which LLM provider is degraded, not just 'API is down'
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Component groups — organize by AI pipeline stage (inference, embedding, retrieval, orchestration)
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REST API for automated status updates from your AI monitoring stack
See a live status page
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