Degraded Performance
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Recurring third-party LLM provider instability affecting Voice Agent API, following pattern of 5 similar incidents in 30 days. Google Gemini experiencing elevated error rates while Deepgram core infrastructure remains healthy.
⚠️ AI-generated estimation based on historical data. Actual time may vary.
AIWatch Data: Based on AIWatch data from the last 30 days, Deepgram experienced 5 incidents with an average recovery time of 27h 5m.
Deepgram provides fast, accurate speech-to-text APIs optimized for streaming use cases like real-time captions, voice agents, and live transcription. Its Nova model family is widely used in conversational AI.
AIWatch Insight: Deepgram typically maintains very high uptime, but live streaming endpoints can be more sensitive to regional issues than batch endpoints. AIWatch tracks Deepgram's overall API availability via probe-based health checks alongside official status.
When Deepgram is down, applications using real-time transcription for voice agents, live captions, or contact center streaming will lose their core functionality. Batch transcription jobs may queue but live UX breaks immediately.
This page provides real-time status, 30-day uptime history, and recent incident details — updated every 5 minutes by AIWatch.
Is Deepgram down right now?
Check the live status indicator at the top of this page. AIWatch monitors Deepgram every 5 minutes and shows real-time operational status.
Why is Deepgram streaming not working?
Deepgram streaming may be affected by regional network issues or capacity constraints. Check this page for active incidents.
What are alternatives to Deepgram?
Based on current AIWatch data, AssemblyAI (Score: 79) and ElevenLabs (Score: 63) are the most reliable alternatives right now. For speech-to-text, AssemblyAI and ElevenLabs are alternatives. AIWatch shows current availability for each.
How do I check Deepgram status?
You can check Deepgram status on this page, on the official Deepgram status page at status.deepgram.com, or on the AIWatch dashboard at ai-watch.dev.