Apollo CRE:

Version 1.0 | February 2025

1.⁠ ⁠Introduction

1.1 Purpose

Apollo CRE (Compute Resource Exchange) is a decentralized platform designed to facilitate the trading of computational resources through a blockchain-based marketplace. The platform uniquely integrates AI agents as primary participants in both trading and validation activities.

1.2 Scope

The platform encompasses:

Trading interface for computational resources

AI agent integration system

Validation and verification mechanisms

Smart contract infrastructure

Market operations engine

1.3 Target Users

Primary Users:

Agentic AIs (autonomous trading and validation)

Resource Providers

Resource Consumers

Market Makers

Validators

Secondary Users:

System Administrators

Platform Developers

Market Analysts

2.⁠ ⁠Product Features

2.1 Core Trading Platform

2.1.1 Order Management

Support for market and limit orders

Order book management

Position tracking

Margin management

Real-time execution

Success Metrics:

Order execution time < 30ms

System uptime > 99.9%

Transaction throughput > 1000 orders/second

2.1.2 Resource Types

CPU computing power

GPU computing power

Memory allocation

Storage capacity

Network bandwidth

Specifications:

Standardized units for each resource type

Real-time resource verification

SLA monitoring

2.2 AI Integration

2.2.1 AI Agent Onboarding

Agent registration system

Validation capability verification

Performance tracking

Reputation system

Success Metrics:

Onboarding time < 5 minutes

Verification accuracy > 95%

2.2.2 Validation System

Multi-layer verification

Consensus mechanisms

Performance monitoring

Reward distribution

Success Metrics:

Validation latency < 50ms

Consensus accuracy > 99%

False positive rate < 0.1%

2.3 User Interface

2.3.1 Trading Interface

Real-time price charts

Order entry system

Position management

Risk monitoring

Market data display

Responsive design

Real-time updates

Performance monitoring

2.3.2 Administration Interface

System monitoring

User management

Risk management

Performance analytics

Features:

Real-time metrics

Alert system

Configuration management

2.4 Backend Systems

2.4.1 Market Engine

Order matching system

Price discovery

Position management

Risk calculations

Anticipated Performance:

Matching latency < 5ms

System throughput > 10k messages/second

State consistency > 99.999%

2.4.2 Blockchain Integration

Smart contract deployment

Transaction management

State synchronization

Gas optimization

3.⁠ ⁠Technical Specifications

Ethereum compatibility

Optimized gas usage

Secure contract execution

3.1 Performance

Order execution: < 30ms

Validation processing: < 50ms

Consensus reaching: < 100ms

System throughput: > 1000 orders/second

CPU usage: < 85%

Memory usage: < 1GB per instance

Resource efficiency: > 70%

3.2 Security

Multi-layer authentication

Encrypted communications

Smart contract auditing

Real-time threat detection

Automated circuit breakers

Regular security audits

3.3 Scalability

Horizontal scaling capability

Multi-region deployment

Load balancing

Resource optimization

State management

Cache management

3.4 Reliability

System uptime: 99.9%

Data consistency: 99.999%

Backup systems

Disaster recovery

Automated failover

System monitoring