A powerful financial data retrieval tool for real-time market quotes, corporate financials, and business relationship mapping.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mx-data
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install mx-data using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is mx_data (Financial Data Query)?
The mx_data skill is a specialized financial data interface designed for Openclaw Skills that taps into the authoritative East Money (Dongfang Caifu) database. It enables AI agents to perform natural language queries for up-to-the-minute market trends, avoiding the pitfalls of outdated or hallucinated financial information often found in static LLMs.
By integrating this skill, developers can access a three-tiered data ecosystem: real-time market quotes for stocks and indices, deep corporate financial metrics for both public and private entities, and complex business relationship graphs. This ensures that any financial analysis or reporting performed by an agent is backed by institutional-grade data.
mx_data (Financial Data Query) Use Cases
- Querying real-time stock prices, industry trends, and fund valuations.
- Retrieving historical financial indicators and shareholder structures for listed companies.
- Mapping relationships between corporate entities, management, and major stakeholders.
- Monitoring main capital flows and market valuation metrics.
- Automating financial report generation with verified external data via Openclaw Skills.
How mx_data (Financial Data Query) Works
- The user provides a natural language query such as "What is the latest price of East Money?"
- The skill constructs a JSON payload containing the toolQuery parameter.
- A POST request is authenticated using the MX_APIKEY and sent to the Meixiang API endpoint.
- The API returns a structured JSON response containing standardized security indicators and entity tags.
- The AI agent parses the data, mapping technical field codes to readable names provided in the response.
- The final result is presented to the user in a clean table or summary format.
mx_data (Financial Data Query) Setup
To start using this skill within Openclaw Skills, follow these steps:
- Obtain an API key from the Meixiang Skills platform.
- Configure your environment variable:
export MX_APIKEY="your_api_key_here"
- Ensure curl is installed on your local system for handling API requests.
mx_data (Financial Data Query) Data Schema & Taxonomy
The skill returns data in a structured JSON format to maintain precision across Openclaw Skills workflows:
| Field | Description |
|---|---|
| questionId | Unique identifier for the specific query session. |
| dataTableDTOList | List containing security codes, entity names, and indicator values (e.g., price, PE ratio). |
| entityTagDTOList | Metadata for involved entities, including market types (SZ/SH) and full corporate names. |
| condition | The interpreted search conditions and time ranges used for the query. |
mx_data (Financial Data Query) Advanced Features
- Natural language processing for complex financial queries allowing for filtered searches.
- Support for both public and non-listed corporate data lookups.
- Standardized indicator mapping via nameMap to ensure cross-compatible data visualization.
- High-precision filtering to mitigate context window limitations when dealing with large datasets in Openclaw Skills.
SKILL.md
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