Problem solved

Expose solves the problem of manually gathering and correlating scattered public data for open-source intelligence. It automates searches across hundreds of public sources and returns structured profiles and reports in seconds, reducing hours of research to a single query.

Use cases

• Look up a person by email, phone, or social profile to get a structured intelligence overview
• Perform company due diligence by searching domains, URLs, or company names
• Investigate schools and educational credentials from public records
• Build link analysis and timeline reports for investigations
• Integrate OSINT search into internal tools via REST API
• Use MCP server or agent skills to bring people, company, and school data into chat assistants
• Run terminal-based searches with the CLI for quick lookups
• Generate AI-written intelligence reports for fraud or risk assessments

Audience

• Developers
• Data Scientists
• Business Users
• Enterprise
• Researchers

Pros

• Searches billions of public records across hundreds of sources
• Returns structured, unified profiles instead of raw noise
• Multiple access methods: REST API, MCP server, CLI, and agent skills
• Automated investigations with link analysis, timelines, and AI reports
• Fast results, typically around one second per query

Cons

• Paid subscription required; no free tier mentioned
• Credit-based pricing may be costly for high-volume use
• Dependent on public data availability and source coverage
• No self-hosted option; data goes through Expose's platform
• Limited to people, companies, schools, and related entities