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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.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install fengxiaozi-liu/datatk-quoteInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Use this skill for QuoteNode REST market-data integration. WebSocket is out of scope.
X-API-KEY header and send JSON request bodies.ak, endpoint, market, permission, and rate-limit handling.For background, read:
references/architecture.md
# 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"}'
references/openapi.md to choose the endpoint and request parameters.references/reference.md.references/response.md.references/architecture.md.scripts/request.mjs: generic POST caller for any REST endpoint.Notes:
endpoint and apiKey from datatk-quote-skill/env.json.request.mjs --body must be valid JSON.200, it prints the status code and response body.endpoint and apiKey from the dataTrack service page.endpoint and apiKey in datatk-quote-skill/env.json.references/reference.md first. If you are unsure about response fields, read references/response.md.These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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
```bash
# 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](https://www.datatk.com/service).
- 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`.Search and hire real humans for tasks — photography, delivery, research, and more
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