The all-in-one agentic AI solution for your organization
Web infrastructure for AI agents
Stage
Startup
Not given
Founded
2024
Not given
Based in
Not given
US
Pricing model
Freemium
Not given
Pricing
Starter (free), Professional ($29/seat/month), Enterprise (contact for pricing)
Free: 1,000 credits/month, no card; Builder: $49/month for 10,000 credits; Pro: $199/month for 50,000 credits; Scale: $799/month for 250,000 credits. Enterprise with custom terms available. Credits cost approximately $0.0032-$0.0049 per page, $3.20-$4.90 per 1,000 pages, or about $0.19-$0.29/hour of
Key features
Centralized context repository for unifying work signals across tools
MCP protocol integration with AI assistants and tools
First-class integrations with GitHub, Vercel, Supabase, Railway, Gmail, Notion, Calendly, Codex, Claude Code, and Slack
Per-agent scoped access with full audit trail
Custom vector embeddings for agent memory
Instant agent shutdown from anywhere globally
QUAERO enterprise AI agent governance system
Two-way sync with tools for agent actions and work flows
Support for custom MCP servers and internal tools
Real-time organizational context for agent reasoning
Scrape: Convert any web page into clean markdown or structured JSON
Crawl: Fetch every page on a site from a single link and receive results as they are ready
Search: Query the web with top results already read and parsed
Browsers: Real browser instances in the cloud controlled via Playwright, Puppeteer or SDK
Agents: Autonomous task execution in a real browser with plain English descriptions
Session recordings: Every browser session is recorded for debugging and verification
Monitor: Watch pages on a schedule and receive notifications when content changes
Saved logins: Store credentials securely for agent runs requiring authentication
MCP integration: Connect to Claude Code, Codex or Cursor with one command
Real browser handling: Sites treat agents as humans so pages load and sessions persist
What makes it different
AI-first design with structured, queryable context rather than static documentation
Consistent policy and audit rules across all integrations
MCP-native integrations with no bespoke connectors to maintain
Slaunt
Outcrawl