A powerful financial data integration for researching and evaluating Japanese companies and securities reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jp-funda
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 jp-funda 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 JP Funda?
JP Funda is a specialized financial data and analysis platform tailored for the Japanese stock market. By integrating this tool into your workflow via Openclaw Skills, developers and analysts gain programmatic access to critical investment data, including detailed real estate objects, listed agent information, and comprehensive securities reports.
This skill leverages the Membrane framework to bridge the gap between complex financial APIs and actionable intelligence. It eliminates the friction of manual data gathering by providing a structured interface to query Japanese market movements, ensuring that your AI agents have the most current financial context available.
JP Funda Use Cases
- Automating the retrieval of daily or weekly securities reports for market analysis.
- Researching specific Japanese companies using EDINET or securities codes.
- Integrating Japanese real estate data and agent details into investment dashboards.
- Tracking financial filings within specific date ranges for compliance or auditing.
- Building custom financial bots that require authenticated access to Japanese market data.
How JP Funda Works
- The user authenticates via the Membrane CLI to establish a secure session without handling raw API keys.
- A connection to the JP Funda connector is established, creating a unique connection ID for the environment.
- The skill discovers available actions (like fetching reports) by querying the Membrane action list based on user intent.
- Commands are executed through the CLI, where Membrane automatically handles authentication headers and credential refreshes.
- For custom requirements, the skill uses a proxy request system to communicate directly with the JP Funda API while maintaining secure transport.
JP Funda Setup
First, install the global Membrane CLI:
npm install -g @membranehq/cli
Authenticate your account:
membrane login --tenant
Initialize the JP Funda connection to use with Openclaw Skills:
# Find the connector
membrane search jp-funda --elementType=connector --json
# Connect using the ID from the previous step
membrane connect --connectorId=CONNECTOR_ID --json
JP Funda Data Schema & Taxonomy
The skill organizes financial data into logical entities and time-based reports:
| Entity | Attributes |
|---|---|
| Real Estate Object | Details, Media, Listed Agent |
| Securities Reports | EDINET Code, Securities Code, Filing Date |
| Company Metadata | Japanese Company Name, ID, Report History |
All data is returned as JSON, allowing for easy parsing by AI agents or downstream applications.
JP Funda Advanced Features
- Intelligent Action Discovery: Use
--intentflags to find the best pre-built actions for specific financial queries. - Transparent Proxy: Send direct HTTP requests to any JP Funda endpoint while Membrane manages the auth lifecycle.
- Automated Credential Refresh: Maintains long-running connections without manual re-authentication.
- JSON Parameter Support: Pass complex query filters directly through the CLI to refine financial data extraction.
SKILL.md
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