Stytch vs Unabyss: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Stytch and Unabyss — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Stytch
Stytch
APIs and SDKs for developer-first authentication, enabling passwordless and secure user sign-in across web and mobile.
Key features
- APIs and SDKs: Official backend and frontend SDKs (Go, Android, iOS, JavaScript/React examples) to accelerate integration of authentication flows into applications and reduce implementation effort.
- Magic Link Email Flows: Built-in endpoints and SDK helpers to generate and send magic link emails for passwordless login, with parameters for attributes like IP and metadata for security and analytics.
- WebAuthn & FIDO Support: WebAuthn registration and verification surfaces to enable hardware-backed, phishing-resistant passwordless authentication for modern browsers and devices.
- User Management & Search: Server-side APIs for searching, filtering, and managing user records (e.g., phone/email/WebAuthn verification status) at scale with parameters for queries and limits.
- B2B Organization Management: Endpoints and SDK support for creating and managing organizations, organization slugs, and organization-scoped login/signup flows for multi-tenant or enterprise use cases.
- Mobile SDK Integration: Mobile-first SDKs (Android, iOS) that simplify native authentication flows and integrate with the Stytch API for seamless mobile user experiences.
- Developer Experience & Examples: Repository of example apps and demo projects (React, Next.js) and extensive SDKs to help teams prototype, test, and ship authentication quickly.
- REST APIs for authentication and user management
- Official backend SDKs (example: Go SDK at github.com/stytchauth/stytch-go/v16)
- Official mobile SDKs for iOS and Android
- Passwordless flows including Magic Links and email-based login
- Phone/SMS-based authentication flows
- WebAuthn/FIDO2 support for passkeys and hardware-backed auth
- B2B features: organizations, invite/login-or-signup scoped to orgs
- User search and filtering (email/phone/webauthn verified filters)
- Example web integrations (React example using Vite)
- Client initialization using project ID and secret API keys
Best for
- Passwordless Consumer Login: Implement magic link or WebAuthn-based login flows to remove passwords and reduce friction for consumer-facing web or mobile apps.
- Native Mobile Authentication: Integrate Stytch's Android and iOS SDKs to provide secure, native sign-in methods and simplify mobile onboarding and verification.
- Enterprise/B2B Onboarding: Create and manage organizations, slugs, and organization-scoped login/signup flows for multi-tenant SaaS platforms or enterprise customers.
- Secure User Management: Perform large-scale user searches and administrative actions (filter by email/phone/WebAuthn verification) for customer support and compliance workflows.
- Modernize Legacy Auth: Replace legacy username/password systems with Stytch's passwordless and WebAuthn capabilities to improve security posture and reduce account takeover risk.
- Prototype and Demo Auth Features: Use Stytch example apps and SDKs to rapidly prototype authentication workflows, test magic link/email flows, and validate UX before production rollout.
- Replace passwords with passwordless email or SMS magic link login
- Add passkey/WebAuthn support for strong, phishing-resistant auth
- Implement multi-tenant/B2B organization sign-up and management
- Build mobile-first authentication using iOS and Android SDKs
- Integrate user search, verification status checks, and admin tooling via backend SDKs
Unabyss
Unabyss
Self-updating universal context layer that provides segmented, persistent context to agents and LLMs via the MCP connector protocol.
Key features
- Self-Updating Context Layer: Continuously ingests and refreshes relevant documents, events, and interaction history so connected agents always receive current context without manual updates.
- MCP-Native Connector: Exposes context through the MCP connector protocol, enabling any MCP-capable agent or LLM to request and consume the same shared context surface.
- Segmented Access Controls: Context is segmented by default to enforce boundaries between projects, users, or data classes, reducing accidental exposure of private information.
- Persistent Cross-Session Memory: Stores and surfaces long-lived context across sessions, addressing short-lived model memory and improving multi-step task continuity.
- Automatic Context Prioritization: Selects and supplies the most relevant context for a given prompt or agent task, reducing prompt size and minimizing irrelevant data sent to models.
- Agent-Agnostic Integration: Works with multiple agents and LLM backends (via MCP), allowing teams to centralize context management without coupling to a single model provider.
- Persistent, session-spanning context storage to address short-term memory limits
- Self-updating context that automatically evolves without manual prompt engineering