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Scamlexity alternatives & similar sites

"Scamlexity": When Agentic AI Browsers Get Scammed — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
scamguardapp.com ↗	64 match 2 shared topics	Scam Guard: Protect Against Scammers \| Scam Guard	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptolphin.com ↗	64 match 2 shared topics	Cryptolphin - Crypto Scam Protection For Browser, Mobile, And Telegram	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
ageverify.dev ↗	63 match 2 shared topics	Privacy-Preserving In-Browser Age Assurance \| Age Verify	en	information-and-network-security	robots llmsaihumans	emailphone	none
scammerpro.com ↗	63 match 2 shared topics	ScammerPro - Community Powered Scam Prevention & Fraud Intelligence	en	information-and-network-security	robots llmsaihumans	emailphone	none
scamnet.app ↗	63 match 2 shared topics	ScamNet Security App - ScamNet	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ct-vpn.com ↗	63 match 2 shared topics	CT VPN – Safety & Privacy on Mobile. Browse Freely.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
againstphishing.org ↗	63 match 2 shared topics	Against Phishing - browser extension, database, api	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aiscamdefense.com ↗	63 match 2 shared topics	Home \| Ai Scam Defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scamcrak.com ↗	63 match 2 shared topics	ScamCrak – Free AI Scam Detector	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agencyresearch.net ↗	62 match 2 shared topics	Home Page - AGENCY Research	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
passbrow.com ↗	62 match 2 shared topics	PassBrow	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scamrank.com ↗	62 match 2 shared topics	ScamRank – Trust Signal App \| Detect Scams Instantly	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scamavert.com ↗	62 match 2 shared topics	ScamAvert — Real-Time Scam Protection Across Web, Texts & Apps	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scamartist.com ↗	62 match 2 shared topics	Exposing Scammers: A Guide to Protecting Yourself	en	information-and-network-security	robotsllmsaihumans	emailphone	none
turbovpn.co ↗	62 match 2 shared topics	Best VPN Online for Privacy, Streaming, Browsing: Turbo VPN	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
aiscamchecker.com ↗	62 match 2 shared topics	AI Scam Checker - protect Yourself and Your Wallet from SCAMS - AI Scam Checker	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
aismishingchecker.com ↗	62 match 2 shared topics	AI Scam Checker - protect Yourself and Your Wallet from SCAMS - AI Scam Checker	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
scamguardpro.com ↗	62 match 2 shared topics	ScamGuard Pro — Free AI Scam Checker for Texts, Emails & Links	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.