loginllama
LoginLlama is a login-risk scoring API and SDK suite that evaluates each login with a 0–10 risk score (credential stuffing, account takeover, bot traffic) and actionable risk codes so apps can allow, step up to MFA, or block in real time.
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Quick Overview
Best for: Security
What it does
Security software for decision-makers comparing workflow fit and alternatives.
Best fit
Security
Pricing snapshot
Free from $0/month
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loginllama
LoginLlama provides a real-time login-risk scoring API that returns a 0–10 risk score and explicit risk codes (e.g., IMPOSSIBLE_TRAVEL, NEW_DEVICE, KNOWN_VPN) for each login attempt. It's designed for developers and product teams to integrate into authentication flows so applications can decide to allow, require MFA, or block suspicious logins. The product emphasizes fast responses (<500ms), a fail-open design to avoid locking out users, and easy integration via SDKs or a one-prompt installer. The service is positioned for protecting production login flows from credential stuffing, account takeover, and bot traffic and includes a free tier (1,000 checks/month) to start.
LoginLlama is an AI-powered API for detecting suspicious logins and preventing fraud.
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Claim this listing for $29Key Features
Risk scoring (0–10)
Scores every login on a 0–10 scale for account takeover, credential stuffing, and bot traffic so apps can make real-time decisions.
Detailed risk codes
Returns explicit codes explaining why a login is suspicious (examples: IMPOSSIBLE_TRAVEL, NEW_DEVICE, KNOWN_VPN, TOR exit node).
Sub-500ms response, fail-open
Designed to respond in under 500ms and 'fails open' so the service cannot lock out legitimate users if it errors or times out.
One API call / SDKs
Simple single-endpoint API plus official SDKs and examples for Node.js, Python, PHP and frameworks like Next.js, Express, Django and Laravel.
Threat lists & device signals
Maintains lists of malicious and anonymizing IPs and uses device/browser fingerprints, geo signals, and automation detection in scoring.
MCP (read-only team queries)
Optional MCP server to query aggregated/read-only login analytics in plain language for a team (e.g., 'show me the riskiest logins this week').
Open source SDKs & public build
SDKs are open source and the project is built and shipped in public; the site highlights indie, self-funded development.
Free tier
Offers 1,000 free checks every month with no credit card required to start testing and integrating.
Pricing
1,000 free checks per month with no credit card required.
Free
$0/month- 1,000 free checks every month
- No credit card required to start
Use Cases
Prevent account takeover
Detect logins where a valid credential is used by an attacker (credential stuffing or purchased passwords) and block or step up to MFA.
Stop credential stuffing and bot attacks
Identify automated and scripted login traffic, headless browsers, and high-volume credential-stuffing runs to reduce fraud.
Risk-based authentication
Return a risk score and codes to drive decisions in the login path: allow, require additional verification, or block based on app thresholds.
Operational visibility
Use MCP read-only queries to surface team-level insights like average risk by browser or the riskiest logins this week.
Integrations
Node.js / Next.js / Express
Official SDK and code examples for integrating the risk check into Node-based auth flows.
Python / Django / Flask
Python SDK and examples for calling the LoginLlama API during login processing.
PHP / Laravel
PHP SDK and Laravel examples for integrating risk checks into PHP apps.
Auth0
Listed as an integration target for hooking risk checks into managed auth providers.
Supabase
Listed as an integration target for database-backed authentication flows.
Benefits
Limitations
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Sign up and get an API key at https://loginllama.app/signup or https://loginllama.app/account/api.
- 2 Install the official SDK for your stack (examples: npm install loginllama, pip install loginllama, composer require loginllama/loginllama) or use the one-prompt installer.
- 3 After your authentication check succeeds, call the LoginLlama API with the user's identity_key/email, IP address and user agent.
- 4 Branch on the returned risk_score and risk codes in your auth flow (e.g., risk_score > 5 -> require MFA or block).
- 5 Log errors and always FAIL OPEN: if LoginLlama errors or times out, allow the login and log the incident as recommended.
Support
docs
Official documentation and API reference available at https://loginllama.app/docs.
Contact via the example/developer email shown in examples: [email protected] (page lists Contact and social links).
social
Project updates and contact via X (Twitter), LinkedIn, Product Hunt and a Discord community as listed on the site.
status/roadmap
API status and roadmap links are provided on the site for operational visibility.
API
https://loginllama.app/docs
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