B. Technical Specifications

B.2 MindCircuit Platform Architecture

Layered Architecture:

1. Blockchain Layer:

   • Ethereum blockchain for $OMNI token transactions and smart contract execution.

   • Integration with other blockchains (e.g., Binance Smart Chain, Solana) through cross-chain protocols.

2. Data Aggregation Layer:

   • Data Sources:

     • On-chain data: Transaction histories, smart contract states, blockchain events.

     • Off-chain data: Market news, social media sentiment, macroeconomic indicators.

   • Data Collection Methods:

     • APIs, blockchain nodes, oracles (e.g., Chainlink).

3. AI Analytics Layer:

   • Machine Learning Models:

     • Time-Series Forecasting Models: ARIMA, LSTM networks for predictive analytics.

     • Natural Language Processing Models: BERT, GPT-based architectures for sentiment analysis.

   • Computational Infrastructure:

     • Distributed computing using cloud services or decentralized networks.

     • Resource optimization managed by the Pathfinder agent.

4. User Interface Layer:

   • Web and Mobile Applications:

     • Responsive design for accessibility across devices.

   • Dashboard Features:

     • Real-time analytics, customizable views, interactive visualizations.

   • Security Measures:

     • Multi-factor authentication, encryption protocols, secure wallet integrations.

B.3 Agent Network Specifications

Agents:

1. Omnis:

   • Programming Languages: Python, Solidity for smart contract interactions.

   • Algorithms Used: Deep learning frameworks (TensorFlow, PyTorch), ensemble models.

   • Integration Points: Interfaces with other agents, user dashboards, and smart contracts.

2. SentinelAI:

   • Security Protocols:

     • Intrusion detection systems, anomaly detection algorithms.

     • Regular updates of security patches and threat intelligence feeds.

   • Monitoring Tools:

     • Network traffic analyzers, blockchain explorers.

3. Pathfinder:

   • Resource Management:

     • Dynamic load balancing algorithms.

     • Predictive scaling based on usage patterns.

4. NeuralCore:

   • Cross-Chain Communication:

     • Implements protocols like Cosmos IBC or Polkadot's interoperability standards.

   • Data Synchronization:

     • Utilizes Merkle trees for data integrity verification.

5. EchoPulse:

   • NLP Techniques:

     • Sentiment analysis using lexicon-based and machine learning methods.

     • Topic modeling with Latent Dirichlet Allocation (LDA).

Communication Protocols:

• Inter-Agent Communication: gRPC over TLS, RESTful APIs.

• Data Formats: JSON, Protocol Buffers.

B.4 Security and Compliance

Encryption Standards:

• Data in Transit: TLS 1.3 encryption.

• Data at Rest: AES-256 encryption.

Authentication and Authorization:

• User Authentication: OAuth 2.0, JWT tokens.

• Access Control: Role-Based Access Control (RBAC) for administrative functions.

Compliance Frameworks:

• Data Protection: GDPR compliance for user data privacy.

• Financial Regulations: KYC/AML procedures where applicable.

Smart Contract Audits:

• Third-Party Auditors: Regular audits by reputable security firms.

• Formal Verification: Mathematical proofs to ensure contract correctness.

B.5 Scalability and Performance

Scalability Solutions:

• Layer 2 Protocols: State channels, sidechains for off-chain transactions.

• Sharding: Partitioning the blockchain to handle more transactions.

Performance Metrics:

• Transaction Throughput: Capable of handling thousands of transactions per second through Layer 2 solutions.

• Latency: Real-time data processing and analytics with minimal delay.