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This reference documents every FaceSign node type with its full parameter set, outcome keys, and configuration options.
For a conceptual overview of how nodes work and connect, see Node Model. For common flow patterns, see Verification Patterns.

Base node structure

All nodes share these fields:

Node type enum


START

Entry point for every flow. Exactly one START node is required per flow. Additional fields: Example:

END

Exit point for a flow. At least one END node is required. The END node has no outcomes — reaching it marks the session as complete. Additional fields: None. Example:

CONVERSATION

AI-powered conversational interaction. The avatar speaks the prompt and waits for the user to respond. FaceSign’s AI evaluates the response against the defined conditions and selects the matching outcome. Additional fields: Outcome structure (FSConditionalOutcome):
Conditions are evaluated in order. The first matching condition wins. Write conditions so they are mutually exclusive when possible.
Example:

LIVENESS_DETECTION

Anti-spoofing check to confirm a real person is present. Detects photos, videos, and deepfakes. Additional fields: Outcomes: Example:

FACE_SCAN

Captures the user’s face and performs 1:1 matching against a reference image (e.g., from a scanned document or a provided photo). Additional fields: Outcomes: Example:

DOCUMENT_SCAN

Captures and verifies an identity document. Supports passports, driver’s licenses, and national ID cards. Additional fields: Outcomes: Example:

RECOGNITION

1:N face recognition. Checks whether the user’s face matches any existing entry in your FaceSign database. Additional fields: Outcomes: Example:

ENTER_EMAIL

Presents a form for the user to enter their email address. Additional fields: Outcomes: Example:

TWO_FACTOR_EMAIL

Sends a one-time passcode (OTP) via email and verifies the user enters the correct code. Additional fields: Outcomes: Example:

TWO_FACTOR_SMS

Sends a one-time passcode (OTP) via SMS and verifies the user enters the correct code. Additional fields: Outcomes: Example:

DATA_VALIDATION

Performs conditional routing based on collected session data. Evaluates a validation rule against a data field and routes through transitions. Additional fields: Validation object: Transition structure:
Transitions are evaluated in order. The first matching condition determines the next node. Make sure your conditions cover all cases.
Example:

FACE_COMPARE

Compares two face images captured during the session to determine whether they belong to the same person. Additional fields: Outcomes: Example:

PERMISSIONS

Requests camera and microphone access from the user’s browser. Typically placed early in the flow before any node that requires media access. Additional fields: Outcomes: Example:

Flow validation rules

FaceSign validates your flow at session creation time. Flows that violate any of these rules are rejected with an error:

Next steps

Node Model

Conceptual overview of how nodes work

Verification Patterns

Production-ready flow patterns for common use cases