GroundAPI FAQs

Question 1

How can developers integrate with GroundAPI?

Accepted Answer

GroundAPI offers multiple integration methods including a standard REST API for traditional applications, the Model Context Protocol (MCP) for seamless AI agent integration, and a convenient Python Command Line Interface (CLI) for scripting and rapid development.

Question 2

What types of data tools are available through GroundAPI?

Accepted Answer

GroundAPI offers a diverse set of tools including real-time A-share stock data, screeners, market overview, fund data, multi-engine web search, web scraping, latest news headlines, current and forecasted weather, package logistics tracking, and IP geolocation.

Question 3

Is there a free tier for using GroundAPI?

Accepted Answer

Yes, GroundAPI provides a free tier that includes 500 API calls per month, allowing users to test its capabilities and integrate it into small-scale projects without initial cost.

Question 4

What is Model Context Protocol (MCP) and its benefit for AI agents?

Accepted Answer

MCP is a protocol supported by GroundAPI that allows for direct, streamlined integration with MCP-compatible AI agent clients (e.g., Claude Desktop, Cursor). This enables AI agents to easily discover and utilize GroundAPI's tools and pre-built skills for complex, ready-to-use workflows.

Question 5

What is GroundAPI?

Accepted Answer

GroundAPI provides a unified real-time data layer specifically designed for AI agents, offering over 10 distinct tools covering essential domains like A-share finance, web search, news, weather, and logistics.

GroundAPI

GroundAPI

Key Features

Use Cases

Key Features

Use Cases