mx_macro_data

You retrieve macroeconomic data by querying natural language prompts specifying regions like China or US and relative times like past three years. The tool fetches indicators such as GDP, CPI, and employment figures through Eastmoney's API.

Yes, you can export macroeconomic indicators to CSV format. The tool processes your natural language queries and outputs structured CSV datasets containing detailed financial figures for your analysis.

Yes, the tool supports querying economic data for multiple countries. You can specify regions like China, US, or Japan in your natural language query to obtain targeted macroeconomic indicators such as inflation trends or CPI rates.

The best way to get recent inflation trends is to query the tool with a natural language request for Japan's CPI rates over the last year. It eliminates manual collection by directly returning structured CSV datasets.

Yes, you need Python and the httpx dependency to run macroeconomic data queries. The Skill relies on Python scripts interfacing with Eastmoney's API to retrieve and process the requested financial data into CSV format.

Yes, you can specify relative timeframes like past five years when fetching macroeconomic data. The tool supports versatile querying with relative time expressions to simplify complex data requests.