比較は英語で表示されます。

比較

Axiora を比較

Axiora と Bloomberg、FactSet、東洋経済、そして EDINET を直接利用する場合との比較。

What is Axiora?

Axiora is developer infrastructure for Japanese financial data: a REST API and MCP server that turn official EDINET XBRL filings into typed financials, ownership time-series, and governance data for 4,125 listed companies. Every value links to the filing it came from.

What is EDINET?

EDINET is Japan's official corporate-disclosure system, operated by the Financial Services Agency. Listed companies file annual reports, large-shareholding reports, and other documents to it as XBRL. EDINET is free and authoritative, but it serves raw filings, not analysis-ready data.

Is there an MCP server for financial data?

Yes. Axiora exposes a Model Context Protocol (MCP) server at api.axiora.dev/mcp with 41 read-only tools, so AI agents such as Claude and ChatGPT can query Japanese financials, ownership, and filings directly, with every value linked to its source EDINET document.

How do I get Japanese financial data via an API?

Axiora provides a REST API and a Python SDK for Japanese financial data sourced from EDINET. Sign up for a free key, call documented endpoints for financials, ownership, filings, and translations, and resolve any value back to its source filing via the doc_id on every row.

What is the best API for EDINET data?

The best EDINET API depends on the job. Use EDINET directly for a few raw filings. Use Axiora when you need parsed XBRL, normalized JSON, entity resolution, ownership trajectories, English translations, source doc_id provenance, and MCP access for AI agents.

What is a Bloomberg alternative for Japanese ownership data?

Axiora is a focused alternative when the specific need is Japanese EDINET ownership data by API: holder trajectories, stake deltas, exits, activist-purpose changes, and source-linked filing evidence. It is not a full Bloomberg Terminal replacement.

Can AI agents query Japanese financial filings?

Yes. Axiora exposes Japanese EDINET financials, filings, ownership, governance, and translations through REST and MCP. AI agents can call read-only tools directly and receive source-linked answers instead of relying on PDF uploads or model memory.