Agent Marketplace
Agent Marketplace
Overview
The INTUE Agent Marketplace enables developers to create, deploy, and monetize custom trading agents. This platform provides a standardized framework for agent distribution, evaluation, and compensation.
For Agent Creators
Monetization Models
The marketplace supports multiple revenue models for agent creators:
Performance Fee Structure
Earn 0.05-1.25% on agent-generated alpha
Automatic fee calculation and distribution
Real-time performance tracking
Subscription Licensing
Implement tiered access to agent capabilities
Monthly or annual subscription options
Free/premium feature differentiation
Usage-based Compensation
Monetize per-execution or compute-time metrics
Volume discounts for high-usage customers
Metered billing for specialized capabilities
Hybrid Tokenized Models
Stake on agent performance with proportional returns
Token-based governance of agent parameters
Community-driven development incentives
Submission Process
To submit an agent to the marketplace:
Development: Create your agent using the INTUE SDK
Testing: Validate functionality through backtesting and simulation
Documentation: Create comprehensive documentation and examples
Submission: Submit for review through the Marketplace Portal
Review: Pass the technical and security review process
Publishing: Deploy to the marketplace with your chosen monetization model
Updates: Maintain and update your agent as needed
Technical Requirements
All marketplace agents must meet these requirements: // Required interfaces interface MarketplaceAgent { // Core functionality initialize(config: AgentConfig): Promise; process(data: MarketData): Promise; getMetadata(): AgentMetadata; // Technical requirements continued interface MarketplaceAgent { // Documentation getDocumentation(): AgentDocumentation;
// Performance metrics getPerformanceMetrics(): PerformanceMetrics;
// Security compliance validateSecurity(): SecurityValidation;
// Resource requirements getResourceRequirements(): ResourceRequirements; }
// All agents must implement proper error handling try { // Agent processing } catch (error) { // Log and handle error appropriately logger.error(Processing error: ${error.message}, { stack: error.stack, context: currentContext });
// Implement graceful degradation return fallbackResponse(); }
Quality Standards
Marketplace agents are evaluated based on:
Signal Quality: Accuracy and precision of generated signals
Performance Consistency: Stability across market conditions
Resource Efficiency: Computational and memory requirements
Documentation Quality: Clarity and completeness of documentation
Code Quality: Clean, well-structured, and maintainable code
Security: Robustness against manipulation and data leakage
Error Handling: Graceful handling of edge cases and failures
For Agent Users
Discovery and Selection
The marketplace provides comprehensive tools for discovering and evaluating agents:
Performance Metrics
Historical return profiles
Drawdown characteristics
Risk-adjusted metrics (Sharpe, Sortino, Calmar ratios)
Correlation with market benchmarks
Signal accuracy statistics
Filtering and Sorting
By asset class or ecosystem focus
By strategy type (momentum, arbitrage, sentiment, etc.)
By performance criteria
By creator reputation and track record
By popularity and user ratings
Detailed Agent Profiles
Strategy explanation and methodology
Supported exchanges and assets
Configuration options and parameters
Example implementations and use cases
User reviews and community feedback
Deployment Options
Users can deploy marketplace agents in multiple ways:
Cloud Hosted
Fully managed by INTUE platform
Automatic updates and maintenance
Guaranteed uptime and performance
Simplified configuration and monitoring
Self-Hosted
Run on your own infrastructure
Complete control over execution environment
Enhanced privacy and security
Customizable integration options
Analytics and Monitoring
The marketplace provides comprehensive analytics for both creators and users:
Real-time Performance Tracking
Signal generation statistics
Execution quality metrics
P&L attribution
Risk exposure analysis
Comparison Tools
Agent vs. market benchmarks
Head-to-head agent comparisons
Performance in different market regimes
Strategy correlation analysis
Optimization Suggestions
Parameter tuning recommendations
Asset allocation optimizations
Risk management improvements
Integration enhancement opportunities
Community and Support
The marketplace fosters a vibrant community of agent developers and users:
Knowledge Sharing
Strategy discussion forums
Implementation best practices
Market analysis and insights
Code snippets and examples
Collaborative Development
Open-source agent templates
Community-contributed enhancements
Peer review processes
Hackathons and challenges
Support Channels
Technical documentation and guides
Interactive tutorials and workshops
Direct support from agent creators
INTUE platform assistance
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