MetricDuck FAQs

Question 1

What financial data does MetricDuck offer?

Accepted Answer

It offers detailed company overviews, valuation metrics, profitability analysis, cash flow statements, and balance sheet data, all optimized for AI consumption and contextual understanding.

Question 2

What is MetricDuck?

Accepted Answer

MetricDuck provides AI-native access to comprehensive financial data for AI assistants via its Model Context Protocol (MCP) server, enabling natural language data retrieval and analysis.

Question 3

How does MetricDuck integrate with AI assistants?

Accepted Answer

MetricDuck integrates seamlessly with MCP-compatible AI assistants like Claude Code and Cursor, allowing them to use natural language to query and analyze financial data without manual API calls.

Question 4

Is MetricDuck easy to set up and use?

Accepted Answer

Yes, it offers clear documentation for quick installation and configuration (via PyPI or source), including secure OAuth 2.1 authentication and environment variable setup for AI clients.

Question 5

What makes MetricDuck's search capabilities unique?

Accepted Answer

It features Smart Company Search with fuzzy matching, efficiently handling typos and variations to accurately find companies by name or ticker, improving AI's ability to identify entities.

MetricDuck

Key Features

Use Cases

MetricDuck

Key Features

Use Cases