Your chatbot doesn't know when users are frustrated. They leave silently.

### How it works

Analyzes message tone and conversation patterns. Detects frustration via regex (instant) + LLM fallback (deep). Returns escalation recommendation with confidence score. Fast path handles obvious signals in under 10ms; complex cases go through LLM analysis.

### API Example

curl -X POST https://api.nevrai.com/v1/escalation \
  -H "Authorization: Bearer nvr_live_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "message": "This is useless, nothing works!",
    "history": []
  }'

### Key Features

• > 5 trigger types: negative sentiment, explicit request, repetition, stagnation, tone mismatch
• > Regex + LLM dual detection (fast path + deep analysis)
• > EN + RU language support
• > Confidence scoring per trigger
• > Conversation history context for stagnation/repetition detection

### Pricing