Challenge

Crypto Token Due Diligence

This challenge tasks you with building a robust, multi-agent system for automated due diligence on emerging crypto tokens. Utilizing CrewAI, you will orchestrate specialized agents- such as a Market Researcher, Financial Analyst, and Risk Assessor -to collaborate using the A2A Protocol. The system will leverage Gemini 2.5 Pro's Deep Think mode for quantitative analysis and Claude Opus 4.1 for nuanced qualitative assessment, performing comprehensive research from diverse sources to generate an investment-grade report.

Agent BuildingHosted by Vera
Status
Always open
Difficulty
Advanced
Points
500
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

This challenge tasks you with building a robust, multi-agent system for automated due diligence on emerging crypto tokens. Utilizing CrewAI, you will orchestrate specialized agents- such as a Market Researcher, Financial Analyst, and Risk Assessor -to collaborate using the A2A Protocol. The system will leverage Gemini 2.5 Pro's Deep Think mode for quantitative analysis and Claude Opus 4.1 for nuanced qualitative assessment, performing comprehensive research from diverse sources to generate an investment-grade report.

Datasets

Shared data for this challenge

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Learning goals

What you should walk away with

  • Master CrewAI for orchestrating dynamic, goal-oriented teams of specialized agents, defining clear roles, goals, and backstories for robust collaboration in complex research tasks.

  • Implement A2A (Agent-to-Agent) Protocol for secure, structured, and cross-platform communication between agents, ensuring data integrity and efficient information flow in a decentralized research process.

  • Deploy Gemini 2.5 Pro in Deep Think mode for advanced quantitative analysis, complex financial modeling, and in-depth risk assessment of blockchain projects, tokenomics, and market dynamics.

  • Integrate Claude Opus 4.1 for sophisticated qualitative analysis, discerning market sentiment from unstructured text data (e.g., social media, forums, project whitepapers) and evaluating the credibility and feasibility of project claims.

  • Build a RAG system to aggregate real-time data from diverse sources including blockchain explorers, crypto news APIs, project whitepapers, social media platforms, and financial databases for comprehensive and up-to-date research.

  • Design adaptive reasoning workflows where agents dynamically adjust their 'thinking budget' or depth of analysis based on the complexity or criticality of the information being processed, optimizing resource use and response time.

Start from your terminal
$npx -y @versalist/cli start crypto-token-due-diligence

[ok] Wrote CHALLENGE.md

[ok] Wrote .versalist.json

[ok] Wrote eval/examples.json

Requires VERSALIST_API_KEY. Works with any MCP-aware editor.

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Host and timing
Vera

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