A unified MCP agent that aggregates data from six major Japanese financial sources for comprehensive company and macro-economic analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install japanfinance-agent
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install japanfinance-agent using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Japan Finance Agent?
The Japan Finance Agent is a sophisticated tool designed for deep financial research and market analysis within the Japanese economy. By integrating six distinct data streams into a single interface, it allows developers to bypass the complexity of querying individual databases. This skill provides a holistic view of the market, ranging from official government statistics to real-time corporate disclosures.
Built to enhance the capabilities of AI agents, this solution leverages Openclaw Skills to deliver high-value compound analysis. It bridges the gap between raw data sources like EDINET and J-Quants, offering a streamlined workflow for anyone building financial models, monitoring earnings, or performing fundamental research on Japanese equities.
Japan Finance Agent Use Cases
- Perform comprehensive company analysis by merging financial statements with timely disclosures and stock price trends.
- Generate macro-economic snapshots using GDP, CPI, and employment data from e-Stat and the Bank of Japan.
- Create automated earnings watchlist monitoring for multiple company tickers simultaneously.
- Verify the connectivity and availability of various Japanese financial data providers within your Openclaw Skills environment.
How Japan Finance Agent Works
- The agent accepts a command (such as analyze, macro, or monitor) along with specific parameters like stock codes or economic indicators.
- It triggers concurrent requests to multiple backend sources including EDINET, TDNET, e-Stat, BOJ, and news aggregators.
- The agent synthesizes the retrieved information, cross-referencing disclosures with market data to create a compound report.
- Results are returned in either a human-readable summary or a structured JSON format for further processing by other tools or agents.
Japan Finance Agent Setup
To deploy these Openclaw Skills, you can install the agent via pip. It is recommended to install the full version to ensure access to all six data sources, though specific modules can be installed individually.
# Install with all data sources
pip install "japanfinance-agent[all]"
# Or pick specific sources for a lighter installation
pip install "japanfinance-agent[edinet,tdnet,news]"
After installation, you can use the test command to verify which data sources are correctly configured with their respective API keys.
Japan Finance Agent Data Schema & Taxonomy
The Japan Finance Agent organizes its data outputs based on the specific requirements of the financial source. The following table outlines the data types and authentication requirements for these Openclaw Skills:
| Source | Data Provided | Auth Requirement |
|---|---|---|
| EDINET | Securities filings and XBRL financial statements | Free API Key |
| TDNET | Timely disclosures (earnings, dividends) | None |
| e-Stat | Government statistics (GDP, CPI, Employment) | Free App ID |
| BOJ | Central bank data (rates, money supply) | None |
| News | Financial news from Yahoo, NHK, and Reuters | None |
| J-Quants | Stock prices and OHLCV data | Email + Password |
Japan Finance Agent Advanced Features
- Supports MCP server mode, allowing the agent to serve as a specialized data provider for AI coding assistants.
- Features modular design with graceful degradation, meaning the agent remains functional even if some data packages are not installed.
- Provides a robust CLI with JSON output flags, making it easy to integrate into automated DevOps or data science pipelines.
- Includes compound analysis logic that can automatically map ticker symbols to their respective EDINET identification codes.
SKILL.md
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