A robust integration for accessing real-time stock market data across US, Hong Kong, and Chinese markets using the QuoteNode REST API.
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npx clawhub@latest install datatk-quote
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install datatk-quote using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The DatatK Quote Skill provides a streamlined interface for AI agents to interact with the QuoteNode REST OpenAPI. It aggregates market data into a unified surface, allowing developers to query stock quotes, K-lines, tick trades, and Level-2 depth information. By utilizing Openclaw Skills, this tool simplifies the complexity of multi-market data retrieval through standardized authentication and request formats.
Built for high reliability, it centralizes market codes, permission handling, and rate limits. This skill is essential for building financial applications or research tools that require accurate, real-time market insights across major global exchanges including US, HK, and CN markets.
To begin using this skill within your Openclaw Skills environment, follow these configuration steps:
# Navigate to the skill directory and copy the example environment file
cp {baseDir}/env.json.example {baseDir}/env.json
# Edit env.json to include your specific endpoint and apiKey from the dataTrack service
# Run a test request to verify the connection and fetch market details
node {baseDir}/scripts/request.mjs --path /Api/V1/Quotation/Detail --body '{"instrument":"US|AAPL","lang":"en"}'
| Parameter | Type | Description |
|---|---|---|
| instrument | String | Combined market code and ticker (e.g., US |
| lang | String | Language preference for response data (e.g., en, zh) |
| endpoint | String | The target QuoteNode API base URL configured in env.json |
| apiKey | String | Authentication key passed via the X-API-KEY header |
The skill returns structured JSON objects containing real-time price metrics, volume, and metadata as specified in the response documentation.
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