Crypto Token Launch & Compliance
Design and implement a multi-agent system to simulate the launch of a new cryptocurrency token, focusing on compliance, market analysis, and risk assessment. The system will feature specialized agents communicating via an A2A protocol, integrating with external blockchain and regulatory data sources using skills-enabled tools. Agents will utilize extended thinking and few-shot learning to interpret complex regulatory frameworks and financial data, providing a comprehensive risk profile and compliance roadmap for the token launch.
What you are building
The core problem, expected build, and operating context for this challenge.
Build an A2A multi-agent system with Vellum, integrating MCP tools and Claude Opus 4.5 for crypto token launch compliance and market analysis.
How work is evaluated
The evaluation will assess the system's ability to accurately analyze compliance risks and market viability for a hypothetical token, along with the effectiveness of agent communication and tool integration.
Challenge datasets
Public datasets, plus the private datasets you have access to.
What you should walk away with
Apply few-shot learning techniques to rapidly adapt to new regulatory changes.
Design and orchestrate A2A multi-agent systems using Vellum for complex financial analysis.
Utilize Claude Opus 4.1 for advanced reasoning and interpretation of legal and financial documents.
Develop extended thinking agents capable of comprehensive risk assessment and compliance planning.
Implement MCP-enabled tool integration for secure access to blockchain and regulatory APIs.
Reference links and supporting material
Sample data for 2 tasks
Challenge setup
The evaluation will assess the system's ability to accurately analyze compliance risks and market viability for a hypothetical token, along with the effectiveness of agent communication and tool integration.
Challenge input
{'token_whitepaper': 'string', 'jurisdiction': 'string'}
Agent execution
No agent tool is listed for this challenge.
Evaluated output
{'compliance_risks': ['string'], 'mitigation_strategies': ['string'], 'legal_confidence_score': 'float'}
- Verify successful A2A communication between at least three distinct agent roles (e.g., Legal, Financial, Te...
- Confirm successful data retrieval from a simulated blockchain API via MCP integration.
- Compliance Report Completeness target: 90
- Python execution harness
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
No tool records are attached.
Evaluation contract
- Verify successful A2A communication between at least three distinct agent roles (e.g., Legal, Financial, Technical).
- Confirm successful data retrieval from a simulated blockchain API via MCP integration.
Metrics
- Compliance Report Completeness · Target 90
- Risk Identification Accuracy · Target 0.85
Workflow tasks
- Task 1
Input: {'token_whitepaper': 'string', 'jurisdiction': 'string'}
Output: {'compliance_risks': ['string'], 'mitigation_strategies': ['string'], 'legal_confidence_score': 'float'}
Execution harness: Python
- Task 2
Input: {'simulated_news_articles': ['string'], 'simulated_social_media_posts': ['string']}
Output: {'market_sentiment': 'string', 'financial_risks': ['string'], 'risk_score': 'float'}
Execution harness: Python
Recipe freeze marker
No recipe freeze time is recorded.