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Catalog contract
ready
Coverage and rights
explicit when unknown
Research process
traceable

Choose one of four ways to start.

Start with Agent install. Use the Python SDK for research code, or HTTP and CLI for existing systems and terminals.

Run one command. The Skill includes its query tool and initializes itself.

Claude CodeCodexOpenClawWorkBuddyHermes
Paste into a terminal and press Entercurl -fsSL https://spark-data.cn/install.sh | sh

Put your key in the request header, then call the data endpoint.

Request the latest quotecurl -H "Authorization: Bearer $SPARKDATA_API_KEY" \ "https://spark-data.cn/v1/market-data/quotes/latest?symbols=XSHG%3A600519"
API docs

After installation, one command retrieves the market context.

Get the full Kweichow Moutai contextsparkdata-cli context XSHG:600519

Install the official zero-runtime-dependency client for catalog, market-data, factor, and experiment APIs.

  1. Install the downloaded package
  2. Set the SPARKDATA_API_KEY environment variable
  3. Run the example
Install the official Python SDKpython -m pip install https://spark-data.cn/downloads/sparkdata-python-sdk.tgz
example.pyfrom sparkdata import SparkData client = SparkData() quotes = client.quotes(["XSHG:600519"]) print(quotes[0])

Ten data and research jobs. Open one and start asking.

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4 examples

Review one year of daily bars

Retrieve one year of daily bars for Kweichow Moutai (600519) and summarize the trend in plain language.

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Review a long-term trend

Use weekly and monthly bars to explain the CSI 300 Index trend over the last three years.

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Review minute bars

Retrieve 5-minute bars for 600519 on a specified trading day and mark the high and low.

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Compare instruments

Compare six months of daily bars for 600519 and 000858, including the data time.

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