Dexter Jp
EDINET DB (Dexter Jp) delivers AI-ready Japanese financial data on 3,982 listed companies via free API and MCP server.
For Japanese equity fundamentals with an audit trail, this is the most useful AI-facing data layer we've tested. Every figure traces to an EDINET docID, and the MCP server means Claude or ChatGPT can query filings directly instead of hallucinating numbers. The free tier — 100 calls a day, no card — is enough to actually evaluate it before paying.
Verified 3h ago · liveness 74/100 · cite: rightaichoice.com/tools/dexter-jp
- Individual investors researching Japanese equities who want normalized fundamentals plus a free web dashboard
- Quants building screening or valuation models on structured, auditable filing data
- AI developers wiring Japanese financial data into Claude, ChatGPT or Copilot agents via MCP
- Academic researchers who qualify for the Academy plan at 1,000 requests/day
- Traders needing real-time or intraday price data — there is no tick data, pair with J-Quants or TradingView
- Anyone needing equity coverage outside Japan
- Teams expecting built-in charting, technical analysis or backtesting engines
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip EDINET DB if you need real-time prices, non-Japanese equities, or built-in backtesting — it is a fundamentals and filings dataset for Japanese listed companies only.
The ¥1,480/mo Light price is limited to the first 100 users; after that the standard ¥2,480/mo applies, though the discounted rate persists for those who get in.
For a solo investor or developer, Free (¥0) is genuinely usable and Pro at ¥4,980/mo is the workhorse. Light (¥1,480 intro/¥2,480) is the answer for dashboard-only users who do not touch the API. Developer at ¥29,800/mo is priced for one person doing heavy automation. Compared with global peers like Financial Modeling Prep or EODHD, EDINET DB is cheaper at entry but narrower in market coverage — you are paying for Japanese filing depth and XBRL traceability, not global breadth.
In short
Dexter Jp — EDINET DB (Dexter Jp) delivers AI-ready Japanese financial data on 3,982 listed companies via free API and MCP server. Best for Individual investors researching Japanese equities who want normalized fundamentals plus a free web dashboard, Quants building screening or valuation models on structured, auditable filing data, AI developers wiring Japanese financial data into Claude, ChatGPT or Copilot agents via MCP. Free to start; it also has paid plans, priced in a currency we have not confirmed — see the pricing table for the vendor’s own figures.
What's new in Dexter Jp
Checked todayAcross the latest 5 updates: 2 feature updates, 2 community discussions and 1 news mention.
同じ有報を、役割だけ変えて読ませた
EDINET DBブログ: 同一の有報抜粋を役割プロンプトだけ変えて50社×8条件で測定。役割付与で見通しが変わり、その差は再実行ゆらぎの13.5倍。
有報の本文に書いていない金額を、LLMはどう答えるか
EDINET DBブログ: 日本語有報40社でLLMの数値捏造率を測定。指示文から逃げ道を消すと捏造率が0%から10.0%、22.5%へ上昇。
TradingView公式MCP × EDINET DB MCPガイド — 証券コードひとつで株価から有報の中身までつなぐ
EDINET DBブログ: TradingView公式MCPとEDINET DB MCPを同一エージェントに接続し、証券コードから大株主・セグメント・リスク全文まで取得する実測ガイド。
登録ユーザー1万人突破記念レポート
EDINET DB: 登録ユーザー累計1万人突破。参照企業上位10社、API/MCP利用比率、利用目的分布を集計したレポートを公開。
毎朝『昨日、通期予想を動かした会社』が届く Claude Code Skill を作った
EDINET DBブログ: /v1/eventsから前営業日に業績予想を修正した上場企業を毎朝集計するClaude Code Skillを公開。SKILL.mdとrecap.py全文を掲載。
What people actually say about Dexter Jp — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
18 mentions across 2 sources (GitHub, Lemmy) · researched Jul 5, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Covers all 4,631 Japanese listed companies including 797 delisted ones.
- +Deterministic XBRL parsing with no LLM hallucination on financial numbers.
- +Free tier offers 100 API/MCP requests per day with no credit card.
- +MCP server enables direct integration with Claude Desktop, Claude Code, ChatGPT.
- +Academy plan gives academic researchers 1,000 requests/day.
- −TUI has a bug causing duplicate prompt submissions after interrupts.
- −Large JSON responses overwhelm low-cost LLMs like Ollama.
- −Sparse community feedback makes support and reliability uncertain.
- −Web dashboard less intuitive for non-technical users.
- −API documentation could be more comprehensive for beginners.
- • No obvious hidden costs, but advanced features like Slack integration require paid plans
Viability Score
How well maintained and how widely used is Dexter Jp? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Financial data on 3,982 listed Japanese companies plus ~890 delisted names
- 156 standardized financial indicators normalized across JP GAAP, IFRS and US GAAP
- Daily automated refresh at 8:00 JST from FSA EDINET annual reports
- Deterministic XBRL parsing — no LLM in extraction, entity matching or aggregation
- docID traceability linking each data point to the original EDINET filing PDF
- Rule-based Financial Health Score (0-100) with fully published scoring logic
- Claude-generated integrated analysis blending metrics with earnings-call context
- 75-endpoint REST API returning JSON
- MCP server for AI agents (Claude Desktop, Claude Code, Claude.ai, ChatGPT, Copilot Studio)
- Web dashboard with rankings across dozens of financial and IR indicators
- Financial screener filtering stocks across ~150 indicators
- IR theme screeners: TSE PBR response, DX/AI strategy, human capital, carbon neutrality
- Earnings calendar with upcoming disclosure schedules
- Large-shareholder (5%+) reverse lookup search
- CSV/JSON export of dashboard contents (3-10 times/day by tier)
About Dexter Jp
EDINET DB — listed here as Dexter Jp — takes the securities filings that Japanese companies submit to the FSA's EDINET system and turns them into structured, comparable financial data. The headline count is 3,982 currently listed companies, plus roughly 890 delisted names from MBOs, mergers and business integrations, giving you a survivorship-bias-free universe to work with. Data is pulled automatically each day at 8:00 JST from official annual reports (yūhō) and normalized across JP GAAP, IFRS and US GAAP into a single indicator set — 156 metrics on the current page, covering ROE, operating margin, ROIC variants, PBR, dividend yield, EV/EBITDA, GHG emissions, female manager ratio and more. Two things set the data layer apart. First, every number is parsed deterministically from XBRL; LLMs are not involved in extraction, entity matching or aggregation, and each data point keeps its docID so you can jump back to the original EDINET filing PDF in one click. Second, a rule-based Financial Health Score (0–100) publishes its full scoring logic, so the same inputs always produce the same score. Claude-generated integrated analysis adds qualitative context on top, but the numbers underneath stay auditable. You can consume all of this two ways. The web dashboard is free and includes rankings across dozens of indicators, a financial screener spanning ~150 metrics, IR theme screeners (TSE PBR response, DX/AI strategy, human capital, carbon neutrality), peer comparison, a large-shareholder reverse lookup for 5%+ holders, an earnings calendar, and CSV/JSON export. Programmatically, there's a 75-endpoint REST API returning JSON plus an MCP server that plugs into Claude Desktop, Claude Code, Claude.ai, ChatGPT and Copilot Studio. The free tier gives 100 API/MCP requests per day with no credit card; paid tiers scale from there. Positioning-wise, this is fundamentals infrastructure for Japanese equities, not a trading terminal. It sits next to price-data sources rather than
Behind the Verdict
The pitch that matters here isn't "AI-powered financial analysis." It's that the numbers were never touched by an LLM. EDINET DB parses XBRL deterministically, normalizes JP GAAP, IFRS and US GAAP filers onto the same indicator set, and keeps a docID on every data point so you can trace back to the source filing. If you've ever tried to compute an ROE comparison across a Toyota and a Sony without hand-reconciling accounting standards, you know what that saves. Where we'd reach for it: screening Japanese equities across ~150 indicators without paying for a Bloomberg seat, feeding an agent Japanese filings through MCP so it stops inventing numbers, or building a quant pipeline on clean JSON from a 75-endpoint REST API. The Academy plan (1,000 requests/day, free with an academic email and an application) makes it unusually cheap for research groups. Where it bites. This is fundamentals-only — no intraday or tick prices, so any backtest needs a price source bolted on. Coverage stops at Japan. The dashboard is a screening and reference tool, not a charting or technical-analysis environment. And some IFRS/US GAAP filers report null operating profit because the standard XBRL element isn't present; you'll hit gaps and need to handle them. The closest alternative is J-Quants for prices and raw disclosures, but it doesn't give you normalized cross-standard indicators or an MCP surface. For global fundamentals, FMP or EODHD. For Japan, the pairing we'd actually run is J-Quants or TradingView MCP for price plus EDINET DB for fundamentals — and the vendor's own blog documents that setup. One pricing note worth reading carefully: the Light plan's ¥1,480/mo is limited to the first 100 subscribers and is then locked in permanently, after which it goes to ¥2,480. It gives you
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Real-world workflow fit
Concrete scenarios for the personas Dexter Jp actually fits — and what changes day-one when you adopt it.
Open the free dashboard, run the financial screener on ROE and dividend yield, then use peer comparison to sanity-check the top names against sector medians.
Outcome: A shortlist with source-linked figures you can verify against the original EDINET filing PDF in one click, at zero cost.
Generate a free API key, add the EDINET DB MCP server to Claude Desktop config, and have the agent call search_companies and get_financials across a universe of names.
Outcome: An agent that answers 'what does Toyota's 3-year ROE trend look like' with figures traceable to filings, within the 100 requests/day free allowance.
Subscribe to Pro, set notification rules on the IR theme screeners, and configure email digests for TSE PBR-response and DX/AI-strategy disclosures.
Outcome: Daily or weekly alerts on theme disclosures, with the underlying filing linked for the record.
Use Cases
- Screen Japanese stocks by ROE, PBR, ROIC, dividend yield, and ~150 other indicators via dashboard or API.
- Pull structured fundamentals into an AI agent through the MCP server for on-demand company analysis.
- Combine EDINET DB financial data with J-Quants prices for quantitative research and valuation work.
- Monitor TSE PBR-response or DX/AI-strategy disclosure themes across the listed universe.
- Analyze delisted companies for merger, MBO, or historical research purposes.
- Query earnings-call Q&A to gauge management tone on specific topics.
- Build compliance or voting-guideline monitoring on auditable, source-linked filings data.
Models Under the Hood
as of 2026-09-24
Limitations
- Coverage is Japanese listed companies only (3,983 active + 847 delisted per site), sourced from EDINET filings.
- Some IFRS and US GAAP filers report null operating profit because the standard XBRL element is absent.
- Free API/MCP access is capped at 100 requests/day (~3,100/month), with higher tiers at 1,000 (Pro) and 10,000 (Developer); the Business/Enterprise tiers are being renamed Developer/corporate.
- CSV/JSON export only exports the currently displayed dashboard content — full-universe extraction requires the API, and export is limited to 3/day on Light/Pro and 10/day on Developer.
as of 2026-09-14
Verification history
We have re-verified Dexter Jp 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Dexter Jp tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
¥0/mo
Ideal for
Individual investors or developers testing whether EDINET DB's Japanese fundamentals and MCP server fit their workflow.
What this tier adds
Free entry point: 100 API/MCP requests per day, 12 dashboard modules, 3 views, no credit card.
Light
¥1,480/mo (first 100 users, then ¥2,480/mo)
Ideal for
Dashboard-focused individual investors who want the full module set and notifications but will not call the API.
What this tier adds
Adds Pro-equivalent dashboard modules (unlimited) and 10 views; API/MCP stays at Free's 100/day.
Pro
¥4,980/mo or ¥49,800/year (effective ¥4,150/mo)
Ideal for
Daily-use individual investors and solo developers who need meaningful API volume (about 31,000 requests/month).
What this tier adds
Raises API/MCP to 1,000/day, unlocks unlimited dashboard modules, 3 CSV/JSON exports per day, and 20 notification rules.
Developer
¥29,800/mo or ¥298,000/year (effective ¥24,833/mo)
Ideal for
Single named developers running heavy automation on EDINET DB data (about 310,000 requests/month).
What this tier adds
10x Pro's API/MCP volume, unlimited views, 10 exports/day, 50 notification rules with daily frequency and Slack delivery.
Academy
¥0/mo (application-based)
Ideal for
Faculty, researchers, and graduate students running academic studies on Japanese corporate finance.
What this tier adds
Free with .ac.jp or .edu email and annual review; 1,000 API requests/day at Pro-equivalent rate limits.
Student
¥0/mo
Business
Custom (quote on request)
Enterprise
Custom (quote on request)
Ideal for
Organizations needing team sharing, custom integrations, or embedded data supply under individual contract terms.
What this tier adds
Unlimited API/MCP requests, custom integrations, instant notification on data detection, and custom rate limits; priced on application.
Where the pricing makes sense
The company stage and team size where Dexter Jp's pricing actually pencils out — and where peers do it cheaper.
For a solo investor or developer, Free (¥0) is genuinely usable and Pro at ¥4,980/mo is the workhorse. Light (¥1,480 intro/¥2,480) is the answer for dashboard-only users who do not touch the API. Developer at ¥29,800/mo is priced for one person doing heavy automation. Compared with global peers like Financial Modeling Prep or EODHD, EDINET DB is cheaper at entry but narrower in market coverage — you are paying for Japanese filing depth and XBRL traceability, not global breadth.
Setup time & first value
How long it actually takes to get something useful out of Dexter Jp — broken out by persona, not the marketing-page minute.
Dashboard access is immediate on signup — no credit card, and the free key is issued the same day. Wiring the MCP server into Claude Desktop or Claude Code is a two-line config change (the docs give an npx one-liner). A first REST API call takes a few minutes once you have the key. Budget half a day to a day if you are integrating the API into an existing data pipeline.
Switching to or from Dexter Jp
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual EDINET browsing: replace PDF-by-PDF reading with the structured API and docID links back to the same filings.
- →From scraped spreadsheets: import historical indicators via the 75-endpoint REST API rather than maintaining your own parser.
- →From J-Quants-only workflows: keep J-Quants for prices and add EDINET DB for normalized fundamentals, joined on ticker.
- ↗To FMP or EODHD: if you need global multi-market coverage rather than Japan-only, export your Japanese screens as CSV and rebuild on the broader dataset.
- ↗To J-Quants: for price and trading data, route those needs there while keeping EDINET DB for fundamentals.
- ↗To in-house pipelines: export indicator histories via the API before cancelling so you retain a local copy of the fundamentals you rely on.
Integrations
Resources & Guides
- API Referenceedinetdb.jp
Api · Dexter Jp
Methods, params, types from edinetdb.jp
- Documentationedinetdb.jp
Mcp · Dexter Jp
Full product docs from edinetdb.jp
- Documentationedinetdb.jp
Cookbook · Dexter Jp
Full product docs from edinetdb.jp
- Documentationedinetdb.jp
Data Quality · Dexter Jp
Full product docs from edinetdb.jp
- Documentationedinetdb.jp
Methodology · Dexter Jp
Full product docs from edinetdb.jp
- Resourceedinetdb.jp
Blog · Dexter Jp
Helpful link from edinetdb.jp
Tutorials & Learning
YouTube returned 6 videos for “Dexter Jp”, and we withheld 5: 5 could not be judged, because “Dexter Jp” is a single word that other videos use for other things. Showing the 1 we can prove is about Dexter Jp.
Official links
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Featured Head-to-Head Comparisons
Dexter Jp vs Geologicai
Choose GeologicAI if you're in critical minerals mining and need high-speed, multi-sensor core scanning with AI logging to accelerate projects by 400%. Choose Dexter JP if you're an investor or analyst focused on Japanese equities and want free, AI-augmented financial data with full traceability to EDINET filings. The tools serve completely different domains, so the decision hinges on your industry.
Dexter Jp vs Bitsgap
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