日本株の自律型リサーチAIエージェント|AI agent for deep financial research on Japanese listed companies. Powered by EDINET DB + J-Quants.
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Updated
Apr 20, 2026 - TypeScript
日本株の自律型リサーチAIエージェント|AI agent for deep financial research on Japanese listed companies. Powered by EDINET DB + J-Quants.
Python library for Japanese corporate disclosure data. 42 EDINET document types parsed as typed Python. 11,000+ entities resolvable by name, ticker, EDINET code, or 法人番号.
A curated list of open data sources, APIs, Python libraries, and MCP tools for Japanese financial and economic data
EDINET XBRL parsing library and MCP server for Japanese financial data
Agentic research on Japanese equities. Competing analysts produce investment theses from regulatory filings.
Parse EDINET XBRL filings into structured JSON. Supports all three accounting standards used in Japan: JP-GAAP, IFRS, and US-GAAP.
EDINET disclosure ingestion pipeline for Japanese financial data workflows
e-Tax / EDINETタクソノミ / 青色申告 の勘定科目(コード)表のラッパー (非公式)
Span-cited English investor memos from Japanese 有価証券報告書, produced by a 14B nekomata-qfin fine-tune on a single AMD Instinct MI300X.
Official Python SDK for the Axiora API — Japanese financial data infrastructure
Analyze Japanese stocks with an autonomous AI agent that plans research, pulls EDINET and J-Quants data, verifies findings, and writes reports
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