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Overview

This tutorial walks through implementing Fingerprint to prevent bonus abuse, where players create multiple accounts to claim the same welcome offer, free bet, deposit match, referral, or sign-up credits again and again. It’s a common problem for online casinos, sportsbooks, betting and prediction market platforms, sweepstakes sites, and games that reward new players. You’ll begin with a starter app that includes a mock prediction market sign-up page that automatically grants a welcome bonus of free trading credits to every new account. From there, you’ll add the JavaScript agent to identify each visitor and use server-side logic with Fingerprint data to grant the bonus only once per device. New accounts are still created, so players aren’t locked out, but a visitor who has already claimed the bonus won’t get it again. Each account also stores the visitor ID, so your support or risk team can later link accounts created by the same visitor. The same check works at other points in the player journey, such as first deposit or withdrawal, so you can apply it wherever a promotion is paid out. By the end, you’ll have a sample app that limits welcome bonuses to one per visitor and can be adapted to fit your own promotions and business logic. This tutorial uses just plain JavaScript and a Node server with SQLite on the backend. For language- or framework-specific setups, see the quickstarts.
Estimated time: < 15 minutes

Prerequisites

Before you begin, make sure you have the following:
  • A copy of the starter repository (clone with Git or download as a ZIP)
  • Node.js (v22 or later) and npm installed
  • Your favorite code editor
  • Basic knowledge of JavaScript

1. Create a Fingerprint account and get your API keys

  1. Sign up for a free Fingerprint trial, or log in if you already have an account.
  2. After signing in, go to the API keys page in the dashboard.
  3. Save your public API key, which you’ll use to initialize the JavaScript agent.
  4. Create and securely store a server API key for your server. Never expose it on the client side. You’ll use this key on the backend to retrieve full visitor information through the Fingerprint Server API.

2. Set up your project

  1. Clone or download the starter repository and open it in your editor.
Terminal
  1. This tutorial will be using the bonus-abuse folder. The project is organized as follows:
public
index.html - Prediction market sign-up page
index.js - Frontend logic to handle sign-up
server
server.js - Serves static files and sign-up endpoint
db.js - SQLite database connection
accounts.js - Sign-up and welcome bonus logic
.env.example - Example environment variables
  1. Install dependencies:
Terminal
  1. Copy or rename .env.example to .env, then add your Fingerprint API keys:
Terminal
  1. Start the server:
Terminal
  1. Visit http://localhost:3000 to view the mock prediction market sign-up page from the starter app. Create a test account by entering a username and password and clicking Sign up. You’ll see that the account is created and the welcome bonus is applied. Create a few more accounts with different usernames, then open the page in an incognito window and try again from the same browser. By default, the app grants the welcome bonus to every new account, no matter how many times the same visitor signs up.

3. Add Fingerprint to the frontend

In this step, you’ll load the JavaScript agent when the page loads and trigger identification when the user clicks Sign up. The JavaScript agent returns both a visitor_id and an event_id. Instead of relying on the visitor_id from the browser, you’ll send the event_id to your server along with the signup payload. The server will then call the Fingerprint Events API to securely retrieve the full identification details, including the verified visitor ID and risk signals such as browser tampering or bot activity.
  1. At the top of public/index.js, load the JavaScript agent:
public/index.js
  1. Make sure to change region to match your workspace region (e.g., eu for Europe, ap for Asia, us for Global (default)).
  2. Near the bottom of public/index.js, the Sign up button already has an event handler for submitting the credentials. Inside this handler, request visitor identification from Fingerprint using the get() method and include the returned event_id when sending the signup to the server:
public/index.js
Linking your own identifiers: if you already have an identifier for the user at this point, like an account, order, or session ID, pass it as linkedId. It’s returned as linked_id on the event and indexed, so you can retrieve every event tied to that identifier through the Server API. Learn more about adding more context to your identification events in Linking and tagging information.
The get() method sends signals collected from the browser to Fingerprint servers, where they are analyzed to identify the visitor. The returned event_id acts as a reference to this specific identification event, which your server can later use to fetch the full visitor details. For lower latency in production, use Sealed Client Results to return full identification details as an encrypted payload from the get() method.

4. Receive and use the event ID to get visitor insights

Next, pass the event_id through to your signup logic, install and initialize the Fingerprint Node Server SDK, and fetch the full visitor identification event so you can access the trusted visitor ID and Smart Signals.
  1. In the backend, the server/server.js file defines the API routes for the app. Update the /api/signup route there to also extract event_id from the request body and pass it into the attemptSignup function:
server/server.js
  1. Install the Fingerprint Node Server SDK:
Terminal
  1. The server/accounts.js file contains the logic for handling signups and granting the welcome bonus. Start by importing and initializing the Fingerprint Node Server SDK there, and load your environment variables with dotenv.
server/accounts.js
  1. Make sure to change region to match your workspace region (e.g., EU for Europe, AP for Asia, Global for Global (default)).
  2. Update the attemptSignup function to accept event_id and use it to fetch the full identification event details from Fingerprint:
server/accounts.js
Using the event_id, the getEvent method will retrieve the full data for the visitor identification event. The returned object will contain the visitor ID, IP address, device, and browser details, and Smart Signals like bot detection, browser tampering detection, proxy detection, and more. You can see a full example of the event structure and test it with your own device in the demo playground. For additional checks to ensure the validity of the data coming from your frontend, view how to protect from client-side tampering and replay attacks.

5. Block bots and withhold bonuses from suspicious devices

This optional step uses the Bot Detection Smart Signal, which is available during the free trial and on paid plans.
Bonus abuse is often automated, with scripts creating accounts in bulk to farm sign-up credits. A simple but powerful way to stop this is to block bot signups entirely. The event object includes the Bot Detection Smart Signal that flags automated activity, making it easy to reject bot traffic. This signal returns good for known bots like search engines, bad for automation tools, headless browsers, or other signs of automation, and not_detected when no bot activity is found.
  1. Continuing in the attemptSignup function in server/accounts.js, check the bot signal returned in the event object:
server/accounts.js
You can also use Fingerprint’s Suspect Score to flag high-risk signups. The Suspect Score is a weighted representation of all Smart Signals present in the identification payload, helping to identify suspicious activity, such as a player using a proxy, a tampered browser, or a virtual machine to look like a new device. Rather than blocking the signup outright, a high Suspect Score is a good reason to hold back the bonus. The player can still create an account and use the platform, while your team reviews the account or asks for additional verification before releasing the bonus.
  1. Below the bot detection check, add a condition that reads the Suspect Score from the event object and sets a flag to withhold the bonus if it exceeds a chosen threshold (for example, 20):
server/accounts.js
You’ll use the withholdBonus flag in the next step when deciding whether to grant the bonus.

6. Limit bonuses to one per visitor

Next, use the trusted visitor ID from the event object to grant the welcome bonus only once per visitor. Every signup that passes the bot check still creates an account, but if the same visitor ID has already received the bonus, the new account is created without it. In production, you might hold the bonus for review, require identity verification, or allow a set number of bonuses per visitor over time instead. (This example simplifies account creation and bonus logic for demonstration purposes.) This makes bonus rules enforceable at the visitor level, not just the account level. Even if someone signs up with a new username or email address, clears cookies, or switches to incognito mode, the bonus is still linked to their visitor ID, keeping one-per-player offers truly one per player. Note: The starter app includes a SQLite database with a table already created for you. The bonusGranted column records whether each account received the welcome bonus:
SQLite database tables
  1. Add a helper function to the bottom of the server/accounts.js file to check if the visitor has already received the welcome bonus:
server/accounts.js
  1. Update attemptSignup to retrieve the visitorId and use it to decide whether the new account should receive the bonus. The bonus is applied only if the Suspect Score is under the threshold and the visitor hasn’t already claimed it:
server/accounts.js
  1. The starter app’s SQL statement sets bonusGranted to 1 for every new account. Update it to store the visitorId and only mark the bonus as granted when bonusApplied is true. Then return the result, including a warning message when the bonus is withheld:
server/accounts.js
The account is always stored with its visitorId, even when the bonus is withheld. This lets your support or risk team look up every account created by the same visitor, which is useful for reviewing suspected multi-accounting or investigating bonus abuse after the fact. This gives you a basic system to detect and prevent bonus abuse. You can extend it by allowing a limited number of bonuses per visitor, adding verification steps before releasing a withheld bonus, setting time-based limits, or flagging linked accounts for review.
This is a minimal example to show how to implement Fingerprint. In a real application, make sure to use proper security practices, input validation, password handling, and account management logic that align with your production standards.

7. Test your implementation

Now that everything is wired up, you can test the full protected signup and bonus flow.
  1. Start your server if it isn’t already running and open http://localhost:3000:
Terminal
  1. Reset the database by clicking on Reset demo DB at the bottom of the page.
  2. Create a new account in your browser. You’ll see “Account created. Welcome bonus applied.”
  3. Create another account with a different username in the same browser. The account is created, but you’ll see “Account created. The welcome bonus has already been claimed on this device.”
  4. Open an incognito/private window and create another account. The account is still created, but the bonus is denied because your visitor ID remains the same for that browser.
  5. Bonus: Test the flow using a headless browser or automation tool to see bot detection in action. A sample script is available in test-bot.js that attempts to create 10 new accounts. While your app is running, run the script with node test-bot.js in your terminal and observe that every automated signup is blocked entirely.
  6. Click Reset demo DB again to clear all accounts, then sign up once more. The first signup receives the welcome bonus again.

Next steps

You now have a working signup flow that limits welcome bonuses to one per visitor with Fingerprint. From here, you can expand the logic with more Smart Signals, fine-tune rules based on your business policies, or layer in additional checks for suspicious visitors. To support multiple promotions, such as deposit matches, free bets, or referral credits, track claims per promo by recording the promo and visitor ID for each claim, similar to the redemptions table in the coupon abuse tutorial. You can apply the same pattern to catch self-referrals, where the referring and referred accounts share a visitor ID, and to check visitor IDs at withdrawal before bonus funds are paid out. To dive deeper, explore the other use case tutorials for more step-by-step examples. Check out these related resources: