Liveness Detection API 日本語

Liveness Detection API — Quickstart Guide

This guide walks you through the five steps from subscribing on AWS Marketplace to sending your first liveness detection (anti-spoofing) request.

Item Value
API base URL https://liveness.api.pas-ta.io
Customer dashboard https://liveness.api.pas-ta.io/console/dashboard
Authentication method X-API-Key header
Content type application/json (UTF-8)

Step 1. Subscribe on AWS Marketplace

  1. Open the Liveness Detection API (Liveness Check API) product page on AWS Marketplace.

  2. Select a plan from View purchase options.

    Plan Monthly calls Monthly price
    Starter 1,000 $180
    Standard 5,000 $750
    Professional 10,000 $1,200
    Business 30,000 $2,400
    Enterprise 100,000+ (custom) $5,000+

    Note: The behavior when you exceed the limit (continue on a pay-as-you-go basis / stop the API) can be switched later from the dashboard.

  3. Once you click Subscribe, you are automatically redirected to our onboarding screen immediately after the subscription completes.

Step 2. Register your account information and verify your email

  1. On the onboarding screen, your AWS Account ID and Subscription ID are displayed automatically (no input required).

  2. Enter the following items and click Continue.

    Item Required Notes
    First name / Last name Required Name of the person in charge
    Work email Required This becomes your login ID and the destination for various notifications
    Company name Required
    Company website Required In the format https://example.com
  3. A verification link (valid for 24 hours) is sent to the email address you entered. Open the link to verify your email address.

Step 3. Set a password and activate your account

  1. From the verification link, proceed to the password setup screen.
  2. Set a password (at least 8 characters, including at least one uppercase letter, one lowercase letter, one number, and one symbol).
  3. Once setup is complete, your account is activated and two API keys, Primary and Secondary, are issued automatically. You are then taken to the login screen of the customer dashboard.

Step 4. Obtain your API keys

  1. Log in to the customer dashboard at https://liveness.api.pas-ta.io/console/dashboard.
  2. The two keys, Primary and Secondary, are shown on the API Keys screen (in the list, only the leading prefix is displayed, such as lc_abc12…).
  3. The full key is displayed only once, on the screen right after account activation in Step 3. If you did not save it, issue a new key with Regenerate on the dashboard (the old key is invalidated immediately, and the new key is shown once, on the spot).

About the two-key scheme: Normally, you use the Primary key. In the unlikely event that a key is leaked, you can rotate without downtime by using the Secondary key while you swap out your code and then regenerating the Primary key.

Step 5. Send your first detection request

Base64-encode the face image and send it to POST /v1/check/liveness.

# Base64-encode the image and pass the body via stdin (macOS: base64 -i / Linux: base64 -w0)
{ printf '{"image": "'; base64 -i face.jpg | tr -d '\n'; printf '", "image_format": "jpeg"}'; } \
| curl -X POST https://liveness.api.pas-ta.io/v1/check/liveness \
  -H "X-API-Key: lc_abc12xxxxxxxxxxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  --data-binary @-

Expanding the Base64 string directly into an argument, as in -d "$(base64 ...)", fails with argument list too long for larger images due to the shell’s argument-length limit. The stdin approach above works up to the API’s 10 MB limit (tr -d '\n' is required to keep the JSON valid).

Field Required Description
image Base64-encoded image (up to 10MB)
image_format "jpeg" or "png"

Example response (200 OK):

{
  "metadata": {
    "ver": "1.0.1",
    "customer_id": "550e8400-e29b-41d4-a716-446655440000",
    "remaining_calls": 3850,
    "over_limit_calls": 0,
    "status": "success"
  },
  "data": {
    "isFakeFace": false,
    "isFakeLikelihood": 0.987,
    "isValidFace": true,
    "faceBrightness": 142.3,
    "latency_ms": 120
  }
}

How to read the Processing Result: isFakeFace (true = suspected photo or spoof) is a reference verdict that becomes true when isFakeLikelihood (a score from 0.0 to 1.0) exceeds the default threshold of 0.15. For stricter operation, evaluate isFakeLikelihood against a threshold on your side.

About billing: Only successful detection responses are counted as calls. Error responses (4xx/5xx), GET /v1/usage, GET /v1/health, and dashboard operations are not counted.


Next steps