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.
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.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
What you should walk away with
Master Vellum's agent orchestration capabilities for building robust, stateful multi-agent workflows.
Implement A2A protocol for seamless and secure communication between specialized compliance, financial, and legal agents.
Design and integrate MCP-enabled tools with Claude Opus 4.5 to interface with real-time blockchain data providers and regulatory databases.
Build extended thinking pipelines using Claude Opus 4.1 to perform deep dives into token economics, smart contract security, and jurisdictional compliance.
Deploy few-shot learning strategies within agents to identify patterns in regulatory precedents and financial market sentiment.
Orchestrate a role-based agent team within Vellum, assigning distinct responsibilities for legal review, market analysis, technical due diligence, and risk reporting.
How this agent runs
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
The configured agent processes the input under the challenge policy.
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
View technical recipe
Configured tools
No tool records are attached.
Evaluation contract
- The evaluation module defines the checks.
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.
Run this agent on your dataset and AI stack
Bring your dataset, model providers, and success criteria. We will scope the right managed run for your team.
Scope a managed run[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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