Beeko AI
Beeko AI is a privacy-focused OSINT (Open Source Intelligence) platform that enables users to search for digital identities using email addresses, usernames, or images. It aggregates public-source signals from a wide range of platforms, including social networks, developer communities, and forums, and presents the findings in a structured, evidence-based report.
Key Features
- Email, Username, and Image Search: Conduct reverse email lookups, username searches across multiple platforms, and image-based searches.
- Evidence-Grounded AI Summaries: AI generates concise summaries that cite specific evidence IDs, ensuring transparency and verifiability.
- Normalized Source Statuses: Each source is categorized as Found, Not Found, Blocked, Unknown, or Error, preserving ambiguity and preventing false conclusions.
- Live Progress Tracking: Real-time updates show which sources have been scanned and what results are emerging.
- Private by Default: Emails are encrypted before storage and automatically deleted after the scan completes.
- Developer API: RESTful API for integrating Beeko's search capabilities into custom workflows, with support for polling and normalized statuses.
- Use Cases: Suitable for dating safety, identity verification support, marketplace trust, open-source investigations, brand protection, and developer enrichment.
How It Works
- Enter an Email or Username: Sign in and submit an authorized address or handle.
- Scan Public Signals: Beeko checks quiet account signals, domain records, and username availability across numerous public platforms.
- Review the AI Report: AI summarizes only collected evidence, with citations and source links for human review.
Pricing
- Pro: $29/month for 500 deep searches, expanded source coverage, and private history.
- Business: $149/month for 5,000 searches, API access, MCP server, and team controls.
- Enterprise: Custom volume and support.
Beeko AI emphasizes responsible use, clearly stating that matches are leads, not identity proof, and that it does not access private databases or use facial recognition.
