| 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
| - Search people by title, function, seniority, location, company size, tech and industry
- Search and enrich companies by domain, headcount, industry, tech stack and hiring signals
- Scrape careers pages and company homepages for open roles, products and pricing
- Match reasons and freshness dates on every record
- Works with Claude, ChatGPT, Cursor and any MCP client
- REST API with TypeScript and Python SDKs
- Field-level checked_at and verified_at dates
- Source and data-rights metadata on every field
- Free SKILL.md playbooks for GTM workflows
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| 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
- Instant global agent shutdown capability
- Guardrails on every agent run by default
| - Flat monthly pricing with no per-record charges or credits
- Fair-use limits visible in every API response, not hidden behind a dashboard
- Records count only when data is returned, empty searches use no records
- First useful result in under five minutes, no lengthy onboarding
- Opt-out honored and suppression data managed by the company
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Leadsets