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Public evaluation

Product_Research_and_Comparison

The evaluation will assess the system's ability to accurately research products, make reasonable purchasing decisions, and demonstrate robust tool integration and agent collaboration. Key metrics will include factual accuracy, decision logic, and efficiency.

Evaluation type
task based
Challenge
Agentic Shopping
Difficulty
Advanced
Rigor
Unspecified

Evaluation overview

How the linked challenge is judged: tasks, benchmarks, and criteria count.

Tasks
2
Benchmarks
0
Criteria
0

Task templates

Inputs and expected outputs.

Task 1

Product_Research_and_Comparison

Agent system researches three competing products for a given user need and outputs a comparison table.

Input format

{'user_need': 'string', 'budget': 'int'}

Output format

{'comparison_table': [{'product_name': 'string', 'features': ['string'], 'price': 'float', 'rating': 'float'}], 'recommended_product': 'string', 'reasoning': 'string'}

Task 2

Simulated_Purchase_Decision

Agent system simulates the process of selecting a product and initiating a purchase, demonstrating Model Context Protocol tool usage.

Input format

{'product_id': 'string', 'quantity': 'int', 'shipping_address': 'string'}

Output format

{'order_status': 'string', 'payment_gateway_response': 'json', 'estimated_delivery': 'string'}