Docs menuexpand_more
MCP tool
get_earnings_calendar
Key points
- check_circleIt maps to the REST endpoint /stable/earnings-calendar, with the same response shape.
- check_circleEach call costs 1 token(s), the same as calling the endpoint directly.
- check_circleRequired arguments: none
What this tool returns
Lists scheduled and already reported earnings dates for Japanese companies. Reported rows include actual and estimated EPS and the surprise rate (surpriseRate, a 0–1 decimal; 0.15 = 15% above the estimate). The range is at most 93 days and defaults to 30 days before and after today.
Description sent to AI clients
Upcoming and past earnings announcement dates for Japanese listed companies, with actual vs estimated EPS and the surprise rate (0-1 decimal; 0.15 = 15% above the estimate). 決算発表カレンダー。
The model reads this description to choose the tool. It is written in both English and Japanese.
What you can answer with it
- chatSee which companies report this week to plan trades
- chatAdd earnings dates of your holdings to a calendar
- chatFind the periods when earnings announcements cluster
Arguments
Argument names are the same as the REST query parameters. Optional arguments can be omitted.
| Argument | Type | Required | Description |
|---|---|---|---|
| from | string | — | Start date (YYYY-MM-DD). Defaults to 30 days before today |
| to | string | — | End date (YYYY-MM-DD). Defaults to 30 days after today. At most 93 days after from |
| limit | integer | — | Maximum number of rows to return (default 200, max 500)Default: 200Range: 1–500 |
REST endpoint
This tool calls /stable/earnings-calendar. Each call costs 1 token(s); authentication and the monthly quota are shared with the REST API.
Examples
Example prompt
Using ZENITH Code data, help me with this: See which companies report this week to plan trades
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_earnings_calendar",
"arguments": {}
}
}The same data over REST:
curl "https://api.zenithcode.net/stable/earnings-calendar" \ -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.
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_earnings_calendar?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_earnings_calendar cost per call?expand_more
1 token(s), the same as calling /stable/earnings-calendar directly.
Can I show get_earnings_calendar 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_earnings_calendar return?expand_more
Lists scheduled and already reported earnings dates for Japanese companies. Reported rows include actual and estimated EPS and the surprise rate (surpriseRate, a 0–1 decimal; 0.15 = 15% above the estimate). The range is at most 93 days and defaults to 30 days before and after today.
How can I verify the source of get_earnings_calendar 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/earnings-calendar API docs.
Which tools are used together with get_earnings_calendar?expand_more
Common companions are get_disclosures, get_earnings_forecast, get_dividends_calendar. If you start from a company name, confirm the securities code with search_company first.
Related articles
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.