> ## Documentation Index
> Fetch the complete documentation index at: https://docs.condense.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Spot the Fraudster

## TL;DR

Spot the Fraudster is an interactive demo workspace that showcases how Condense detects fraudulent transactions in real time using event streaming, stream processing, and rule-based anomaly detection.

Participants join a multiplayer session from their mobile devices, perform simulated financial transactions, and watch Condense identify suspicious and fraudulent activity within seconds.

***

## What You'll Learn

After completing this demo, you'll understand how Condense can:

* Ingest events from multiple users simultaneously
* Process streaming events in real time
* Correlate events across multiple users
* Detect anomalies using configurable business rules
* Push instant results back to applications
* Power real-time fraud detection pipelines

***

## Before You Begin

Ensure you have:

* Access to the Condense Experience Center
* A mobile phone
* Internet connectivity
* A modern web browser

No coding is required.

***

## How the Demo Works

The Spot the Fraudster demo follows a multiplayer workflow:

1. Scan the QR code.
2. Open the Demo Workspace.
3. Select **Spot the Fraudster**.
4. Create or join a game room.
5. Wait for other participants.
6. Start the game.
7. Select a shared persona.
8. Perform simulated transactions.
9. Watch Condense classify each transaction in real time.

The game demonstrates live event ingestion, stream processing, fraud detection, and real-time notifications.

***

## Demo Flow

### Step 1. Create or Join a Room

The host creates a room and shares the room code with participants.

Players join using the room code before the game begins.

***

### Step 2. Select a Persona

All players choose the same public personality for the session.

The first player to select a persona locks the selection for everyone else.

If no selection is made within 30 seconds, the system automatically selects one.

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### Step 3. Make Transactions

Each participant enters a transaction amount and submits it.

The first successful transaction establishes the baseline profile for the session.

Subsequent transactions are evaluated against this baseline.

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### Step 4. Real-Time Fraud Detection

As each transaction arrives, Condense evaluates it against fraud detection rules and immediately classifies it as:

* Successful
* Suspicious
* Fraudulent

Results are pushed back to every participant instantly.

***

## Fraud Detection Rules

The demo evaluates multiple streaming signals, including:

| Rule                           | Detection  |
| :----------------------------- | :--------- |
| Impossible travel              | Fraud      |
| High transaction velocity      | Suspicious |
| Amount spike                   | Suspicious |
| Amount deviation               | Suspicious |
| GPS and IP mismatch            | Fraud      |
| New device                     | Suspicious |
| Duplicate device or IP         | Suspicious |
| Odd transaction time           | Suspicious |
| Device type variation          | Suspicious |
| Multiple suspicious activities | Fraud      |

These rules are evaluated continuously as new events arrive in the stream.

***

## Data Captured

During the demo, the application processes attributes such as:

* Persona
* Transaction amount
* Device location
* Timestamp
* Session ID
* Device ID
* IP address
* Device type

These events are streamed through Condense and evaluated in real time.

***

## Behind the Scenes

The Spot the Fraudster workspace demonstrates several Condense capabilities working together:

* Event ingestion
* Apache Kafka messaging
* Stream processing
* Rule evaluation
* Real-time event routing
* Live WebSocket notifications

Internally, Condense processes incoming transaction events, applies fraud detection logic, and routes results to separate outputs for successful, suspicious, and fraudulent transactions.

***

## What This Demo Demonstrates

By completing this demo, you'll experience how Condense enables:

* Real-time fraud detection
* Event-driven architectures
* Streaming analytics
* Live dashboards and notifications
* Low-latency stream processing
* Scalable event pipelines

***

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## Frequently Asked Questions (FAQs)

### Q1: Do I need to install an application to play the demo?

No. Spot the Fraudster runs entirely in a web browser. Simply scan the QR code or open the demo link to participate.

***

### Q2: Can multiple users join the same game?

Yes. The demo is designed as a multiplayer experience where multiple participants join the same room and perform transactions simultaneously.

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### Q3: Why do all players use the same persona?

Using a shared persona allows Condense to establish a baseline transaction profile and demonstrate how suspicious or fraudulent activities can be detected when multiple users perform transactions using the same identity.

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### Q4: How is the first transaction treated?

The first successful transaction establishes the baseline for the session. Subsequent transactions are evaluated against this baseline using real-time fraud detection rules.

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### Q5: What determines whether a transaction is suspicious or fraudulent?

Condense continuously evaluates incoming transactions using predefined fraud detection rules, such as unusual transaction amounts, high transaction frequency, device changes, location anomalies, and other behavioural patterns.

***

### Q6: Can I restart the game after it ends?

Yes. Once the game is complete, you can restart the current session, create a new room, or join another game.

***

### Q7: Does the demo process real financial transactions?

No. All transactions are simulated for demonstration purposes. No real payment information or financial accounts are used.

***

### Q8: What Condense capabilities does this demo showcase?

The demo demonstrates several core capabilities of Condense, including:

* Real-time event streaming
* Apache Kafka-based messaging
* Stream processing
* Rule-based fraud detection
* Event correlation
* Real-time notifications
* Interactive dashboards

***

### Q9: Can the fraud detection rules be customized?

Yes. The demo uses predefined rules for demonstration purposes. In production deployments, organizations can configure and extend detection rules to meet their business requirements.

***

### Q10: Is this demo suitable for production use?

The Spot the Fraudster workspace is intended for learning, demonstrations, and proof-of-concept scenarios. The underlying streaming architecture and event processing capabilities can be adapted for production-grade fraud detection solutions.

## Learn More

To understand how this demo is built, including its architecture, Kafka pipeline, APIs, and implementation details, read the developer blog:

**Games Built Using Condense: Spot the Fraudster**

[https://www.zeliot.in/developer-blog/games-built-using-condense-spot-the-fraudster](https://www.zeliot.in/developer-blog/games-built-using-condense-spot-the-fraudster)