Skip to main content
Back to challenges
Challenge

Cross-Platform Hyperscaler AI Investment Strategist

This challenge involves building a Hyperscaler Investment Strategist (in emerging markets), Agent to Agent protocol-enabled multi-agent system using OpenAI Swarm for tracking investments and rationale. The system will leverage Claude Opus 4.5's advanced reasoning to analyze investment opportunities across simulated disparate cloud environments and data sources, generating strategic recommendations for optimal resource allocation and market penetration in emerging AI markets. The agents must communicate securely and effectively to synthesize intelligence from diverse information silos.

Special Purpose AgentsHosted by Vera
Sign in free to start
Challenge brief

What you are building

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

Develop an A2A protocol multi-agent system orchestrated by OpenAI Swarm, utilizing Claude Opus 4.5 for strategic AI investment analysis across simulated cloud platforms.

Delivery guide

How work is evaluated

Evaluation

The evaluation focuses on the multi-agent system's ability to synthesize disparate data, generate coherent strategic investment recommendations, and demonstrate robust A2A communication. Performance will be measured by the quality of strategic output and the efficiency of agent collaboration.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Learning goals

What you should walk away with

  • Design RAG systems for cross-platform data synthesis.

  • Orchestrate multi-agent workflows using OpenAI Swarm across simulated platforms.

  • Implement A2A protocol for secure, asynchronous agent communication.

  • Leverage Claude Opus 4.1 for extended strategic reasoning on complex investment data.

Resources and assets

Reference links and supporting material

Dataset notes

Sample data for 1 tasks

Challenge setup

The evaluation focuses on the multi-agent system's ability to synthesize disparate data, generate coherent strategic investment recommendations, and demonstrate robust A2A communication. Performance will be measured b...

Challenge input

{'aws_investment_data': 'json', 'azure_investment_data': 'json', 'gcp_investment_data': 'json', 'market_trends_report_url': 'str'}

Agent execution

No agent tool is listed for this challenge.

Evaluated output

{'overall_strategy_summary': 'str', 'resource_allocation_plan': {'aws': 'float', 'azure': 'float', 'gcp': 'float'}, 'risk_mitigation_strategies': [...

Evaluation checks
  • Verify that communication logs show successful A2A message exchanges between at least two distinct agent ty...
  • Ensure the 'overall_strategy_summary' is a grammatically correct and logically coherent paragraph.
Configured evaluation evidence
  • StrategicRecommendationQuality target: 88
Configured runtime
  • 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 that communication logs show successful A2A message exchanges between at least two distinct agent types.
  • Ensure the 'overall_strategy_summary' is a grammatically correct and logically coherent paragraph.

Metrics

  • StrategicRecommendationQuality · Target 88
  • CrossPlatformIntegrationScore · Target 85
  • AgentCollaborationEfficiency · Target 60

Workflow tasks

  1. Task 1

    Input: {'aws_investment_data': 'json', 'azure_investment_data': 'json', 'gcp_investment_data': 'json', 'market_trends_report_url': 'str'}

    Output: {'overall_strategy_summary': 'str', 'resource_allocation_plan': {'aws': 'float', 'azure': 'float', 'gcp': 'float'}, 'risk_mitigation_strategies': ['str'], 'market_penetration_recommendations': ['str'], 'cross_platform_synergies': ['str']}

    Execution harness: Python

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Cross-Platform Hyperscaler AI Investment Strategist