Beeko is an AI-powered public-source intelligence tool that searches email, username, and image signals to organize evidence for human review. It combines quiet email checks, domain MX records, Sherlock username discovery across 84 platforms, and evidence-grounded AI summaries while keeping ambiguity visible. Every source keeps its own status, category, timestamp, and evidence link so uncertainty stays visible.
What is Beeko?
Beeko is a public-source intelligence platform that takes an authorized email address or username as input and produces an organized evidence report with source links, normalized statuses (found, not found, blocked, unknown, error), and AI-generated summaries that cite evidence IDs. It runs as a web application and is built for investigators who need defensible, reviewable workflows rather than automated conclusions.
Key Features
- Secure input handling — Email addresses are encrypted before storage and removed after the scan completes; private by default.
- Quiet email account scanning — An allowlisted email scanner checks account signals across platforms without accessing private data.
- Sherlock username discovery — Tests candidate usernames across 84 public platforms including developer, creator, forum, gaming, and marketplace sites.
- Domain MX record checks — Verifies domain mail exchange records as part of the evidence trail.
- Evidence-grounded AI summaries — AI summarizes only collected evidence and cites evidence IDs; source links and uncertainty remain available for human review.
- Normalized source states — Blocked, unknown, and error responses are never collapsed into false "not found" results.
- Live progress tracking — Review useful matches while slower or protected sources continue resolving.
- API-ready results — Use normalized report data in authorized workflows through Beeko's authenticated API.
Who is it for?
- Dating safety researchers — Spot inconsistent public trails and combine findings with conversation and platform-native verification.
- Identity verification professionals — Add public-source context to verification processes without treating username matches as standalone decisions.
- Marketplace trust teams — Review seller or buyer handles for public continuity without accessing private marketplace data.
- Open-source investigators — Triage possible profiles and preserve source links for lawful, human-led analysis.
- Brand protection analysts — Find public handle reuse that may signal impersonation and confirm context before reporting accounts.
What can you do with Beeko?
- Email-to-evidence investigations: Submit an authorized email address and receive a structured report showing domain MX status, Gravatar presence, GitHub account signals, and Sherlock username results across 84 platforms.
- Username expansion searches: Start with one public handle and map possible public accounts across developer, creator, forum, gaming, and marketplace sites.
- Reviewable evidence trails: Open original public sources, compare visible names, biographies, links, dates, and writing style, then decide whether matches are relevant, coincidental, copied, recycled, or inconclusive.
How does Beeko work?
Beeko follows a three-step workflow: first, sign in and submit an authorized address which gets encrypted before creating a private lookup job; second, an allowlisted email scanner checks quiet account signals while Sherlock reviews candidate usernames across public platforms; third, AI summarizes only collected evidence with citations to evidence IDs, keeping source links and uncertainty available for human review.
FAQ
Is Beeko free?
Pricing is not specified on the page. The product emphasizes private-by-default operation with encrypted email storage and automatic removal after scan completion.
Does Beeko access private accounts or breach data?
No. Beeko explicitly states it does not use face recognition
