Hi HN,

Japan is the world's 4th largest stock market, but its financial data is stuck in the 90s. Corporate filings go through EDINET — a government system that stores everything as XBRL in Japanese, with 3 different accounting standards (JP-GAAP,IFRS, US-GAAP), company-specific taxonomies, and no usable API.

I've been working with Japanese XBRL filings for 2 years. I built a parser that normalizes all of it into structured JSON. Axiora now covers 4,125 listed companies with ~10 years of history and 52 financial fields per company-year.

Built for developers:

  · REST API with full OpenAPI spec — https://axiora.dev/docs
  · Python SDK: pip install axiora
  · LangChain integration: pip install langchain-axiora (20 tools)
  · MCP server for Claude, ChatGPT, Cursor, etc.
  · llms.txt at axiora.dev/llms.txt

Try it now, no signup: https://axiora.dev/terminal

Roadmap: TDNet integration (real-time timely disclosures from JPX) and stock prices are next. Data licenses are expensive and I'm bootstrapping this solo, so those will come as paid tiers.

Tech: Python/FastAPI on Cloud Run, Supabase (Postgres), lxml for XBRL parsing.

Free tier: 10,000 req/day. I'd love feedback on the API design or what data would be most useful.