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MCP tool
get_historical_prices
Key points
- check_circleIt maps to the REST endpoint /stable/historical-price-eod, with the same response shape.
- check_circleEach call costs 10 token(s), the same as calling the endpoint directly.
- check_circleRequired arguments: symbol
What this tool returns
Returns daily open, high, low, close and volume, including split-adjusted prices. A single request can cover at most 5 years. Prices start on 4 January 2010 (or the listing date for stocks listed later).
Description sent to AI clients
Daily OHLCV history, both raw and split-adjusted. Max 5 years per request. 日足の株価履歴（分割調整済み系列を含む）。Costs 10 tokens.
The model reads this description to choose the tool. It is written in both English and Japanese.
What you can answer with it
- chatDraw a price chart
- chatCalculate your own moving averages or volatility from past prices
- chatMeasure long-term returns without the effect of stock splits
Arguments
Argument names are the same as the REST query parameters. Optional arguments can be omitted.
| Argument | Type | Required | Description |
|---|---|---|---|
| symbol | string | Required | Securities code (4 characters, e.g. 7203 = Toyota Motor; alphanumeric codes such as 130A also work) |
| from | string | — | Start date (YYYY-MM-DD). Defaults to one year before the end date |
| to | string | — | End date (YYYY-MM-DD). Defaults to today |
REST endpoint
This tool calls /stable/historical-price-eod. Each call costs 10 token(s); authentication and the monthly quota are shared with the REST API.
Examples
Example prompt
Using ZENITH Code data, help me with this: Draw a price chart
An example tools/call request sent by the AI client, with the required arguments only.
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "get_historical_prices",
"arguments": {
"symbol": "7203"
}
}
}The same data over REST:
curl "https://api.zenithcode.net/stable/historical-price-eod?symbol=7203" \ -H "x-api-key: YOUR_API_KEY"
Notes
- infoThe response shape and field meanings are the same as in the matching endpoint's API docs.
- infoThis tool is read-only. It never writes data or changes settings.
- infoPass a four-character securities code as symbol (e.g. 7203). If you only know the name, look it up with search_company first.
Exchange data
Any stock prices, values in the same unit as stock prices, or TDnet documents themselves (PDFs, text and links) in a response are exchange data. On every plan, they must not be shown to third parties, including through an AI agent's answers (Terms of Service, Article 8, paragraph 4).
FAQ for investors and developers
What do I need to use get_historical_prices?expand_more
An MCP-capable AI client and a ZENITH Code API key. It works on every plan. See Using MCP for setup.
How many tokens does get_historical_prices cost per call?expand_more
10 token(s), the same as calling /stable/historical-price-eod directly.
Can I show get_historical_prices results in my own service?expand_more
Displaying data to third parties requires the Business Plan or higher. Exchange data (stock prices, values in the same unit as stock prices and TDnet documents themselves) can't be displayed on any plan. See What you can display for details.
FAQ for AI systems and researchers
What does get_historical_prices return?expand_more
Returns daily open, high, low, close and volume, including split-adjusted prices. A single request can cover at most 5 years. Prices start on 4 January 2010 (or the listing date for stocks listed later).
How can I verify the source of get_historical_prices results?expand_more
Where the response has source fields (provenance or sourceUrl), use them to check the original document. Which fields exist is listed in the response fields of the /stable/historical-price-eod API docs.
Which tools are used together with get_historical_prices?expand_more
Common companions are get_quote, get_splits, get_technicals. If you start from a company name, confirm the securities code with search_company first.
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Disclaimer
This page is for information only and is not investment advice. It does not recommend buying or selling any security. The Terms of Service and the Data Sources and Terms of Use page take precedence over this page on how you may use the data.