Search email, username, and image signals, then let AI organize the evidence for review.
Live search demo
A defensible workflow
Beeko combines quiet email checks, domain records, Sherlock username discovery, and evidence-grounded AI while keeping ambiguity visible.
Sign in and submit an authorized address. Beeko encrypts it before creating a private lookup job.
An allowlisted email scanner checks quiet account signals, then Sherlock reviews candidate usernames across public platforms.
AI summarizes only collected evidence and cites evidence IDs; source links and uncertainty remain available for human review.
Username search, explained
A useful username lookup does more than return a list of links. It preserves the source, the outcome, and the uncertainty so you can decide which public leads deserve closer review.
A username search starts with one public handle and tests it against profile patterns from supported websites. Each platform answers differently: some return a clear public profile, some indicate availability, and others block or time out. Beeko keeps those outcomes separate. That matters because a failed request is not the same as a missing account, and an accessible profile is not automatically connected to the person you are researching.
Traditional username lookup pages often flatten every response into found or not found. Beeko records the platform, public profile URL, normalized status, response timing, and available context. This turns a username search into a repeatable review process. You can open the original source, compare visible names, biographies, links, dates, and other public details, then decide whether the match is relevant, coincidental, copied, recycled, or still inconclusive.
People often want to find social media by username after meeting someone online, reviewing a marketplace account, or checking a possible impersonator. Beeko broadens that search beyond large social networks to developer, creator, forum, gaming, and marketplace sites. The result is a map of possible public accounts, not a hidden identity profile. Use shared public context as corroboration and ask for direct, platform-native verification when identity really matters.
Username intelligence is strongest as an early research layer. Handles can be common, copied, sold, abandoned, or reassigned, so identical text alone cannot establish ownership. Beeko does not use face recognition, private databases, breach records, passwords, or private account access. Never use a username search as the sole basis for employment, housing, credit, insurance, legal, or other high-impact decisions, and never use it to stalk, harass, dox, or investigate minors.
Review checklist
A careful username search ends with human review. Keep contradictory signals visible and stop when the evidence does not support a conclusion.
Signals, not guesses
Every source keeps its own status, category, timestamp, and evidence link so uncertainty stays visible.
Group public matches by domain, account, and candidate username before deciding which leads deserve review.
Blocked and inconclusive responses never get collapsed into a false “not found.”
Separate developer profiles from social, creator, gaming, and marketplace signals.
Review useful matches while slower or protected sources continue resolving.
Return to saved reports, compare runs, and delete searches you no longer need.
Use normalized report data in an authorized workflow through Beeko's authenticated API.
Built for careful decisions
Move from an authorized email to a clearer public-source picture while keeping human judgment in the loop.
Beeko checks public account and username signals. It does not prove identity, access private accounts, or search breach and credential data.
Spot inconsistent public trails, then combine findings with conversation and platform-native verification.
Add public-source context to a verification process—never treat a username match as a standalone decision.
Review seller or buyer handles for public continuity without accessing private marketplace data.
Triage possible profiles and preserve source links for lawful, human-led analysis.
Find public handle reuse that may signal impersonation; confirm context before reporting an account.
Create private email-lookup jobs and consume explicit source statuses and cited summaries in your own workflow.
Developer API
Create an asynchronous private email lookup, poll for evidence, then fetch the normalized report and AI summary.
Poll a private report while public sources resolve, without waiting on one long browser request.
Consume stable statuses and source metadata instead of scraping inconsistent pages yourself.
curl -X POST https://beeko.ai/api/email-lookups \
-H "Authorization: Bearer sk_••••••••" \
-H "Content-Type: application/json" \
-d '{"email":"name@example.com"}'
{
"code": 0,
"data": {
"lookup": {
"id": "6bb232fc-...",
"maskedEmail": "na***@example.com",
"status": "queued"
}
}
}Normalized statuses
Clear search allowances
Each deep search has a defined source scope and credit cost. No vague unlimited plans.
Developer API, MCP, and Beeko Skill access start with Business.
For regular personal and professional research.
Billed monthly. Cancel before the next renewal.
For trust, safety, and investigation teams.
Billed monthly. Cancel before the next renewal.
For defined volume, controls, and support.
Annual contracts available.
All plans query public sources only. Availability and response quality vary by platform.
Clear answers
Understand the source scope, uncertainty, privacy, and billing before you search.
Begin with an authorized email
Run a private public-source lookup, keep uncertainty visible, and decide what—if anything—the trail means.