Features
Automated adversarial scenario generation
Realistic call simulation with diverse personas
Parallel voice evaluation across empathy, responsiveness, hallucinations, compliance
Production call monitoring with real-time alerting
Voice-specific quality detection (gibberish, interruptions, latency, sentiment, pitch)
Insights for root-cause clustering of LLM-judge call failures
OpenTelemetry tracing for voice agent execution
Evaluator and metric versioning
Optimize Agent button for prompt improvements via evaluators
EU region deployment for data residency
LLM judge tuning with Labs environment
Conversation analytics and flow analysis
Customizable dashboards and PDF report export
Webhook and API access, CLI and SDK
Self-improve agent via evaluator-led prompt optimization
Web crawling and scraping API with Rust engine
AI Studio for natural language crawling (add-on $6/mo)
Browser AI commands via WebSocket: Act, Extract, Observe
Silk custom AI model for extraction and captcha solving
Browser Cloud with stealth anti-detection
Structured output: markdown, HTML, JSON, CSV, XML, plain text
Screenshot capture of pages
Link extraction from pages
Search endpoint for query-based data retrieval
Unblocker with rotating proxies and automatic retries
1,000+ ready-made scraper examples (32 categories)
Data connectors: S3, GCS, Google Sheets, Azure Blob, Supabase
Respects robots.txt (configurable)
Failed requests not billed
Open-source core available on GitHub
