How does EDINET handle different Japanese accounting standards?

EDINET automatically normalizes XBRL filings from J-GAAP, IFRS, and US-GAAP into canonical Japanese labels, ensuring consistent data access regardless of the original accounting standard.

Can EDINET be used for financial analysis and company comparisons?

Yes, it calculates various financial metrics (e.g., ROE, ROA, profit margins), facilitates year-over-year comparisons, and supports multi-company screening for up to 20 Japanese firms to aid in competitive analysis.

How does EDINET integrate with AI assistants and LLMs?

EDINET includes an MCP (Model Context Protocol) server with 9 specialized tools designed for seamless integration with AI assistants like Claude Desktop, Cursor, and other LLM-powered applications.

What is EDINET and its primary function?

EDINET provides programmatic access to Japan's EDINET financial disclosure system. It parses XBRL filings, normalizes financial data across accounting standards, and serves it for analysis and AI integration.

Is an API key required to use EDINET?

Yes, a free EDINET API key is required. You can register and obtain one from the official EDINET disclosure system website to access the financial data.

EDINET - Japanese XBRL Financial Data for Data Science & AI

概要

This tool, edinet-mcp, offers a comprehensive solution for accessing and analyzing Japanese financial data from the EDINET disclosure system. It includes an advanced XBRL parsing library that automatically normalizes financial filings across J-GAAP, IFRS, and US-GAAP into canonical Japanese labels. Furthermore, it functions as a Model Context Protocol (MCP) server, enabling AI assistants to seamlessly query and utilize this financial information. This allows for searching companies, retrieving financial statements, calculating metrics, and performing multi-company screenings with ease, streamlining financial analysis workflows.

主な機能

Calculates financial metrics (ROE, ROA, profit margins) and facilitates year-over-year comparisons.
0 GitHub stars
Automatic normalization of XBRL filings across J-GAAP, IFRS, and US-GAAP into canonical Japanese labels.
Programmatic access to EDINET financial data, including annual/quarterly reports and company information.
Supports multi-company screening for comparing financial metrics across up to 20 Japanese firms.
Provides an MCP server with 9 specialized tools for seamless integration with AI assistants.

ユースケース

Automating financial analysis of Japanese companies for investment research and due diligence.
Integrating real-time, normalized EDINET data into AI-powered financial assistants and chatbots.
Developing applications that require structured and standardized Japanese financial statement data for analysis and reporting.

概要

主な機能

Calculates financial metrics (ROE, ROA, profit margins) and facilitates year-over-year comparisons.
0 GitHub stars
Automatic normalization of XBRL filings across J-GAAP, IFRS, and US-GAAP into canonical Japanese labels.
Programmatic access to EDINET financial data, including annual/quarterly reports and company information.
Supports multi-company screening for comparing financial metrics across up to 20 Japanese firms.
Provides an MCP server with 9 specialized tools for seamless integration with AI assistants.

ユースケース

Automating financial analysis of Japanese companies for investment research and due diligence.
Integrating real-time, normalized EDINET data into AI-powered financial assistants and chatbots.
Developing applications that require structured and standardized Japanese financial statement data for analysis and reporting.