Features
Auto-builds a cross-tool knowledge graph of your stack
Root-cause analysis in under 9 minutes from alert firing
Proactive suggestions to tighten retry budgets, auto-scale, etc.
Automated runbooks and remediation workflows
Smart model switching to optimize credit usage
Blast radius tracing from a single alert across connected entities
Continuous learning from every investigation, deploy, and alert
Integrates with cloud providers (AWS, GCP, Azure)
Integrates with code repos (GitHub, GitLab) and CI/CD pipelines
Ingests runbooks, wikis, ADRs, and on-call docs as knowledge sources
Alert correlation and noise reduction via the knowledge graph
Unlimited users per organization on all paid plans
Custom MCP servers for specialized integrations
Email and Slack notification for credit usage (80% threshold)
14-day free trial with full Teams capabilities
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
