name: datatk-quote-skill description: Real-time stock market data via QuoteNode API. Query quotes, K-lines, tick trades, Level-2 depth, and trading calendars for US/HK/CN markets.

QuoteNode REST

Use this skill for QuoteNode REST market-data integration. WebSocket is out of scope.

Project Overview

• QuoteNode is a market-data aggregation service that exposes a unified REST OpenAPI surface to downstream callers.
• Downstream clients authenticate with the X-API-KEY header and send JSON request bodies.
• The REST path is handled by OpenAPI authorization middleware, which centralizes ak, endpoint, market, permission, and rate-limit handling.

For background, read:

• references/architecture.md

Quick Start

# copy example env file, then edit env.json to add your endpoint and apiKey
cp {baseDir}/env.json.example {baseDir}/env.json

# test with a sample request
node {baseDir}/scripts/request.mjs --path /Api/V1/Quotation/Detail --body '{"instrument":"US|AAPL","lang":"en"}'

Workflow

1. Start with references/openapi.md to choose the endpoint and request parameters.
2. If you need market codes, enum values, adjustment types, or error codes, read references/reference.md.
3. If you need response structure or field meanings, read references/response.md.
4. If you need the architectural position of the REST layer in this project, read references/architecture.md.

Script

• scripts/request.mjs: generic POST caller for any REST endpoint.

Notes:

• All requests read endpoint and apiKey from datatk-quote-skill/env.json.
• request.mjs --body must be valid JSON.
• The script prints the raw JSON response by default. If the HTTP status is not 200, it prints the status code and response body.
• Get endpoint and apiKey from the dataTrack service page.
• Configure endpoint and apiKey in datatk-quote-skill/env.json.
• If you are unsure about parameter values, market codes, or error codes, read references/reference.md first. If you are unsure about response fields, read references/response.md.