Authyo OTP for Met Form is an authentication service for modern apps and websites. It focuses on passwordless login, multi-factor authentication, and OTP verification, with delivery through SMS, WhatsApp, Email, and Voice Call.
The service includes an intelligent fallback system for OTP delivery. If SMS OTP fails, it automatically switches to WhatsApp, Email, or Voice Call so users can still receive a verification code and continue logging in. Authyo also describes support for secure login without passwords using email or phone number verification, OTP-based MFA, and authentication flows for login, signup, transaction verification, and account recovery. Its feature list also mentions global SMS and WhatsApp OTP delivery, social login using Google, Facebook, or other trusted platforms, magic link and numeric code login, and real-time analytics for tracking OTP delivery, login success rates, and authentication performance.
Authyo says the platform is designed for developers and can be integrated with apps or websites using APIs and SDKs. It also offers WordPress authentication plugins for passwordless authentication API integration, passwordless login, and advanced authentication. The page presents the product as an all-in-one authentication platform and says integration can be completed in minutes. Pricing information shown on the page includes a free trial with no credit card required, and OTP fallback is enabled by default.
In the Auth & identity space, Authyo OTP for Met Form takes a focused approach. It prevents spam and fake submissions on WordPress forms by verifying user emails and phone numbers with OTP. Authyo OTP for Met Form is a B2B product aimed at wordPress site owners using MetForm. A free plan is available. It runs on the web and embeddable surfaces.
Behind Authyo OTP for Met Form is Konceptwise Digital Media Pvt Ltd, and it first shipped in 2026. Among its 6 catalogued features are OTP verification, metForm integration, and SMS/WhatsApp/Voice/Email support. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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