GraphiQ is designed to provide real-time blockchain transaction analytics, with a focus on:

1. Identifying risky or illicit transactions using advanced AI and graph-based algorithms.

2. Promoting blockchain transparency by making transaction patterns and behaviors easier to understand.

3. Providing a useful token utility through the GRQ token, which integrates into the platform for transaction access, premium features, and rewards.

GraphiQ is an AI-powered tool that combines graph analytics, machine learning, and blockchain technology to help users:

1. Analyze the flow of funds across Solana’s blockchain in graph format.

2. Classify transactions and wallets into categories like:

• Licit (e.g., exchanges, regular users)

• Illicit (e.g., scams, ransomware wallets, mixers)

3. Get actionable insights about wallet activity, such as:

• Transaction patterns.

• Risk levels for each transaction or wallet.

• Temporal behaviors (e.g., spikes in activity or suspicious clusters).

1. For Individuals:

• Understand the risk profile of wallets they interact with before making a transaction.

• Gain insights into their own transaction behavior for compliance or auditing.

2. For Businesses:

• Integrate the GraphiQ API to screen customer transactions in real time.

• Identify patterns of fraud or high-risk behavior.

3. For Researchers:

• Use GraphiQ as a tool to study transaction patterns, graph structures, or even train new models using the open data we provide.

1. AI-Driven Insights:

• Unlike basic blockchain explorers, GraphiQ uses Graph Convolutional Networks (GCNs) to detect patterns in transaction graphs that are invisible to human eyes.

2. Advanced Risk Detection:

• Combines AI and rule-based approaches to classify transactions and flag suspicious activity.

3. Interactive Visualizations:

• Provides users with clear and intuitive dashboards to explore their data.

4. Token Integration:

• The GRQ token adds utility and incentive layers, allowing users to pay for advanced analysis or earn rewards by contributing data.

1. Data Input:

• Pull live transaction data from Solana’s blockchain.

• Construct graphs from these transactions.

2. Graph Analysis:

• Use Graph Convolutional Networks (GCNs) and EvolveGCN to extract patterns.

• Apply machine learning (e.g., Random Forests) for classification (licit vs. illicit).

3. User Access:

• Provide users with a CLI demo or interactive dashboard.

• Enable businesses to access real-time analytics via API.

4. Token Economy:

• Users pay with GRQ for premium services.

• Contributors earn GRQ for improving the platform.