Features
Automatic incident investigation and root cause identification
Multi-agent AI correlation of telemetry, code, and infrastructure
Actionable remediation steps with suggested commands
Prevention Agent that identifies reliability risks and auto-generates PRs
Service discovery and dependency mapping (blast radius visibility)
AI Chat with persistent memory (personal, cluster, org scopes)
Slack integration for alerts, escalations, and investigation chat
Knowledge source ingestion (runbooks, postmortems)
Kubernetes agent for cluster-level intelligence
Grafana integration for enhanced incident context
SaaS and private cloud deployment
Zero-trust architecture with end-to-end encryption
API for integration and automation
Real-time production intelligence with living system model
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
