Features
Simulates AI agent interactions across real workflows
Captures tool calls, errors, friction, and latency
Records agent reasoning behind each decision
Provides actionable recommendations to fix issues
Detects install errors and doc mismatches
Tracks agent discovery and task completion
Logs full transparency on every simulation run
Supports multiple AI agent frameworks
Runs daily agent experience tests automatically
Ranks product visibility among AI agents
Monitors usage friction in agent-driven flows
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
