Japan Finsight: Every Japanese disclosure, structured for AI

Your research partner for investing in Japan.

Connect Claude, ChatGPT, or any MCP client to all 3,863 listed companies. Pull financials, ownership, and activist stakes in English, every number linked to its source.

Personal onboarding within a day, from the founder.

Built by the author of edinet-tools, the open-source library behind the data.

EDINET coverage

The complete record

Every major disclosure type on EDINET, the FSA's official system, for every listed company, with about a decade of history.

EDINET disclosure	What your AI gets back
Annual securities reports	Audited financials, 60+ typed fields, segments, every listed company
5%+ shareholder disclosures	Holder, stake %, joint filers untangled, stated intent
Quarterly reports	Historical financials, through the 2024 FSA reform
Semi-annual reports	Half-year results
Extraordinary reports	M&A, restructurings, governance, tagged by event
Treasury-stock acquisitions	Buyback size and execution
Tender offers	Registration, target opinion, final result
Shelf registrations	Issuance plans before the raise
Internal-control reports	J-SOX status

Signals

Catch the catalysts, not just the financials.

The signals beyond the financials: who's accumulating, what they want, how capital gets returned.

Activist intent What each filer wants, in their own words (buybacks, board changes, spin-offs, take-privates), flagged when it's a known activist.

Capital policy The payout target when the company states one, an honest “not stated” when it doesn't.

Material events M&A, capital returns, management changes, and governance shifts, tagged and searchable.

Related-party transactions Counterparty, type, amount, terms. Source quote per item.

Cross-shareholdings 5%+ holders, plus smaller structural holdings from annual reports.

Ownership timelines Who entered, who increased, who exited, when, with stakes.

Query

Run SQL across the whole record.

Ask one question across all 3,863 companies at once. Combine signals from different disclosures (a buyback, a 5%+ stake, a cheap multiple) into a single screen. run_sql lets your AI query the whole record directly, surfacing names you wouldn't have thought to look for.

your agent might write one query across three disclosure types:
SELECT DISTINCT s.ticker, s.roe
FROM securities_reports s                              -- annual report
JOIN treasury_stock_reports b ON b.edinet_code = s.edinet_code        -- buyback · Doc 220
JOIN large_holding_reports h ON h.target_edinet_code = s.edinet_code  -- 5%+ stake · Doc 350
WHERE s.roe > 0.15 AND h.is_known_activist_filer;

Recent updates →

Open-source parsers, the same code that runs in production.

Underneath it all is edinet-tools, the open-source EDINET library, MIT-licensed and public on PyPI. The parsers behind your numbers are code you can read.

On top, Japan Finsight adds the parts that take judgment: activist intent, capital policy, tagged events, cross-shareholdings.

XBRL-first: no OCR or LLM in the numbers. Consolidated, not parent. Every value source-linked to its disclosure. See how the data is built →

Matt Helmer, author of edinet-tools.

Japan Finsight is an independent product. Not affiliated with the Financial Services Agency, EDINET, or any disclosed company.

Your research partner for investing in Japan.

Japanese corporate disclosure is deep, public, and hard to work with.

Everything in the disclosures, plus the intelligence on top.

The complete record

Catch the catalysts, not just the financials.

Run SQL across the whole record.

Open-source parsers, the same code that runs in production.

One plan. Every company, every major disclosure, queryable by your AI.