AI detection and writing verification built for schools and editors
LoginLlama records 227 monthly visits with -78.2% month-over-month growth and Freemium pricing. ShieldLabs records 2,059 monthly visits with +42.4% growth and Freemium pricing.
Score every login for account-takeover risk and alert the real owner
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | loginllama.app | shieldlabs.ai |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 227 (227) | 2.06K (2,059) |
| MoM Traffic Delta | -814 (-78.2%) | +613 (+42.4%) |
| Primary Market & Share | 🇹🇷 Türkiye (100%) | 🇺🇸 United States (50.6%) |
| Direct Visits / mo | 94 | 634 |
| User Rating | 4.2 | 4.2 |
| Supported Platforms | Website | Website |
Score every login for account-takeover risk and alert the real owner
Call the API after your own password check and receive a 0–10 risk score plus the specific reasons behind it, before your code creates a session.
Each login is compared with that user's history and with 270,000+ IP addresses and ranges sourced from Tor, Mullvad, Spamhaus and FireHOL, producing named risk codes you can log and explain.
Branded notification emails go out automatically when a sign-in looks wrong, so the genuine owner can reset their password quickly without you building the template or deliverability stack.
Official packages for Node.js, Python and PHP, plus drop-in integrations for Better Auth, Clerk and Auth.js mean most teams add the check to an existing login route in one call.

Fraud and abuse detection that recognizes visitors, bots and risky accounts under any masking
Recognizes returning visitors across cleared cookies, incognito sessions and changed IP addresses, and links multiple accounts that trace back to the same person or device.
Flags multi-accounting, account sharing, account takeover and impossible travel out of the box, with a confidence value per event and no fraud model training required.
Names the risk signals behind each result: VPN, proxy, Tor, private relay, datacenter, anti-detect browser, incognito mode, JavaScript disabled, OS and timezone mismatch, browser automation and AI bots.
Scores every visit 0–100 and classifies it as trusted, suspicious or dangerous, then aggregates a single traffic-quality score with breakdowns by channel, referrer and UTM campaign.
AI detection and writing verification built for schools and editors

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