Dexter Jp
AI-native Japanese financial data platform: 4,653 companies, 152 indicators, free API & MCP
EDINET DB is a strong pick if you need auditable, AI-ready Japanese fundamentals. The free tier (100 API requests/day) and MCP integration are generous, and the deterministic XBRL parsing eliminates hallucination risk. It's a fundamentals-first tool, not a trading platform — skip it for real-time prices or non-Japan coverage. For real-time price data, pair it with J-Quants. Its main weakness is that operating profit isn't available for some IFRS/US GAAP filers, and coverage is limited to Japanese listed companies.
Verified 1d ago · liveness 74/100 · cite: rightaichoice.com/tools/dexter-jp
- Individual investors researching Japanese equities with fundamental analysis and AI agents
- Quant analysts building models using structured, traceable financial data from source filings
- AI developers integrating real-time financial data into agent workflows via MCP
- Academics studying Japanese corporate finance with free high-volume access (Academy plan)
- Traders needing real-time or intraday price data (no tick data; complement with J-Quants)
- Users requiring non-Japan equities coverage (Japanese companies only)
- Those without basic financial literacy for independent interpretation of raw indicators
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 or intraday price data (it updates daily at 8:00 JST), if your coverage needs extend beyond Japanese listed companies, or if you require built-in technical charting and backtesting — this is a fundamentals-first, AI-ready data platform.
Free and Light plans cap API/MCP requests at 100/day; going beyond means upgrading to Pro (¥4,980/mo) or Business (¥29,800/mo), which is a significant jump.
EDINET DB's pricing fits individual investors and small teams well: the free tier is generous, and Light (¥1,480/mo) is cheap for dashboard-only users. For heavy API users, Pro (¥4,980/mo) offers 1,000 requests/day — cheaper than comparable Japanese financial data APIs, but Business (¥29,800/mo) jumps for 10x requests. Enterprise is custom. Researchers get a great deal with the Academy plan (1,000 requests/day free).
In short
Dexter Jp — AI-native Japanese financial data platform: 4,653 companies, 152 indicators, free API & MCP. Best for Individual investors researching Japanese equities with fundamental analysis and AI agents, Quant analysts building models using structured, traceable financial data from source filings, AI developers integrating real-time financial data into agent workflows via MCP. Free to start; paid plans from $29800/mo.
What's new in Dexter Jp
Checked yesterdayAcross the latest 5 updates: 5 news mentions.
時価総額よりネットキャッシュが大きい上場企業は109社
Identified 109 listed companies where net cash exceeds market cap using J-Quants MktCap data and EDINET DB fundamentals.
BSの土地1行から、その街の44年をたどる
Shows how to use Claude Code with EDINET DB and Real Estate DB MCP to trace land price history from a single balance sheet line.
「理論株価」は何を計算しているのか
Publishes the formula behind the theoretical price model, including conservative model variants and validation against market prices.
最新AIに有価証券報告書を50社読ませてみた
Compares frontier AI models reading XBRL PDFs directly vs using structured DB, finding similar accuracy but differences in speed and cost.
Claude Fable 5 に上場4,000社の有報を渡して放置した記録
Ran Claude Fable 5 to screen impairment risks across 4,000 companies in 175 seconds, documenting the full screening design and results.
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.
- +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: August 2026
How we score →Key Features
- Financial data for 4,653 Japanese listed companies (3,818 active, 835 delisted)
- 152 standardized financial indicators normalized from JP GAAP, IFRS, US GAAP
- Rule-based Financial Health Score (0-100) with fully disclosed logic
- AI-generated integrated analysis (quantitative + qualitative) via Claude
- 75-endpoint REST API returning JSON
- MCP server for AI agent integration (Claude Desktop, Claude Code, ChatGPT, Copilot Studio)
- Web dashboard with rankings, screeners, peer comparison, and stock calendar
- Daily data updates at 8:00 JST from EDINET filings
- Traceability to original EDINET documents via docID (one-click PDF)
- Earnings call Q&A dataset for 806 companies, 12,139 sections, 29 theme tags
- IR theme screeners (e.g., PBR response, DX/AI strategy)
- CSV/JSON export for offline analysis
- Notification rules via Email and Slack
- J-Quants integration for combined price and fundamental analysis
- FUDOSAN DB integration for real estate data cross-referencing
About Dexter Jp
EDINET DB (Dexter JP) turns Japanese stock filings into structured, analyst-ready datasets. It covers 4,653 listed companies — 3,818 active and 835 delisted — across fiscal years 2011 to 2026, with data pulled daily from the FSA's EDINET system at 8:00 JST. The platform normalizes XBRL from JP GAAP, IFRS, and US GAAP into 152 standardized indicators, so you can compare companies on the same footing regardless of accounting standard. A fully transparent, rule-based engine computes a Financial Health Score (0–100), and Claude generates integrated AI assessments that blend quantitative metrics with qualitative context from earnings calls — every data point retains its docID, linking back to the original filing PDF in one click. You can explore the data through a free web dashboard with rankings, screeners, peer comparison, and a stock calendar, or programmatically via a 75-endpoint REST API and an MCP server that plugs directly into AI agents like Claude Desktop, Claude Code, ChatGPT, and Copilot Studio. The free tier gives you 100 API/MCP requests per day and full dashboard access — no credit card required. Paid tiers scale up to 10,000 daily requests on Business and unlimited on Enterprise, while the new Light plan (¥1,480/mo introductory) targets investors who want the full dashboard without API use. What sets EDINET DB apart is deterministic parsing: every figure is derived from XBRL without LLM involvement, eliminating hallucination risk. The platform also offers a growing qualitative dataset — earnings call Q&A for 806 companies spanning 12,139 sections, tagged across 29 themes — plus IR theme screeners like PBR response and DX/AI strategy. Recent experiments show the platform's AI-native design: one test ran Claude Fable 5 to screen impairment risks across 4,000 companies in 175 seconds. The sister service FUDOSAN DB adds real estate data with cross-referencing to EDINET DB. For investors, analysts, developers, and researchers needing auditable Japanese fundamentals with AI-ready integration, EDINET DB is a strong pick.
Behind the Verdict
EDINET DB earns its place as a serious tool for Japanese equity research, especially for those who want to feed structured data into AI agents. The deterministic parsing of XBRL means every financial figure traces back to a docID and the original EDINET PDF, which is a huge trust advantage over LLM-extracted data. The 152 standardized indicators across JP GAAP, IFRS, and US GAAP let you compare companies on a level field, and the rule-based Financial Health Score is fully disclosed — you can reproduce it yourself. The MCP server is a standout: you can connect Claude Desktop, Claude Code, ChatGPT, or Copilot Studio directly to the data, making it easy to build AI research workflows. The free tier is generous with 100 requests/day, and the Academy plan offers researchers 1,000 requests/day free with a .edu or .ac.jp email. The Light plan (¥1,480/mo introductory) is a clever addition for dashboard-focused investors who don't need API access. Weaknesses: coverage is limited to Japanese listed companies, and operating profit isn't available for some IFRS/US GAAP filers due to missing XBRL elements. It's not a real-time data feed — daily updates at 8:00 JST mean it's not suited for intraday trading. The dashboard is functional but not as polished as dedicated financial platforms. For a buyer who needs Japanese fundamentals with AI integration, EDINET DB is a solid choice; for those needing real-time prices, complement with J-Quants.
Researching Dexter Jp? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Dexter Jp actually fits — and what changes day-one when you adopt it.
You want to screen Japanese stocks by PBR and ROE to find undervalued candidates.
Outcome: Use the free web dashboard to filter 4,653 companies by PBR under 1x and ROE above 8%, then drill into the Financial Health Score and AI analysis for each candidate, with docID links to original filings.
You're building an AI agent that answers questions about Japanese company fundamentals.
Outcome: Connect the MCP server to Claude Desktop or Code, get an API key (free 100/day), and query search_companies, get_financials, and get_analysis tools to fetch structured data — no scraping needed.
You need historical financials for a backtest of Japanese stocks.
Outcome: Use the 75-endpoint REST API to pull time-series data for 4,653 companies across 152 indicators, export CSV/JSON, and combine with J-Quants price data for your model.
Use Cases
- Screen Japanese stocks by ROE, PBR, dividend yield, and other fundamentals using the web dashboard or API.
- Generate AI-powered integrated analysis of a company's financial health using Claude through MCP.
- Combine EDINET DB financial data with J-Quants stock prices for quantitative research.
- Build custom AI agents that query Japanese company filings via MCP server.
- Track peer comparisons and rankings across 152 financial indicators.
- Analyze IR themes (e.g., PBR response, DX/AI strategy) using thematic screeners.
- Conduct research on delisted companies for merger analysis or historical studies.
- Use earnings call Q&A data to gauge management sentiment on specific topics.
Models Under the Hood
as of 2026-08-19
Limitations
- Free plan limits API/MCP requests to 100/day; higher-tier plans offer 1,000–10,000/day or unlimited.
- Operating profit is unavailable for some IFRS/US GAAP filers due to missing standard XBRL elements, and data delivery may be delayed from source updates.
- Coverage is limited to Japanese listed companies.
as of 2026-08-22
Verification history
We have re-verified Dexter Jp 5 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
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
Solo investor or developer who wants to explore the data and test the API without any cost, with 100 requests/day and full dashboard access.
What this tier adds
Starting tier: free entry point with 100 API/MCP requests/day, 12 dashboard modules, 3 views, CSV/JSON export 3 times/day, weekly email notifications.
Light
¥1,480/mo (introductory, first 1,000 users; regular ¥2,480)
Ideal for
Individual investor who wants unlimited dashboard modules and more notification rules but doesn't need heavy API use (100 requests/day).
What this tier adds
Adds unlimited dashboard modules, 10 views, and 20 notification rules (weekly email) over Free; same API limit.
Pro
¥4,980/mo (or ¥47,800/year, effectively ¥3,983/mo)
Ideal for
Power user or solo developer who needs 10x API capacity (1,000 requests/day) and daily notifications, with a cost-effective annual option.
What this tier adds
Raises API/MCP to 1,000 requests/day (~31,000/month), adds daily email, Slack integration, 10 CSV/JSON exports per day, and annual pricing at ¥47,800/year (¥3,983/mo effective).
Business
¥29,800/mo
Ideal for
Development teams or heavy API users who need 10,000 requests/day, unlimited exports, and team sharing.
What this tier adds
Scales API/MCP to 10,000 requests/day (~310,000/month), adds 50 notification rules, daily email + Slack, unlimited CSV/JSON export, and team sharing support.
Enterprise
Custom
Ideal for
Large organizations needing unlimited requests, custom integrations, and instant delivery of data updates.
What this tier adds
Offers unlimited API/MCP requests, custom integrations, detection-based instant delivery (~15 minutes after data update), and dedicated support with custom rate limits.
Academy
¥0/mo (free for researchers)
Ideal for
Academic researchers with a .edu or .ac.jp email who need high-volume API access for free (1,000 requests/day).
What this tier adds
Free tier for researchers: 1,000 API requests/day (Pro-equivalent rate limit), but dashboard features match Free; permanent free access with academic email.
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.
EDINET DB's pricing fits individual investors and small teams well: the free tier is generous, and Light (¥1,480/mo) is cheap for dashboard-only users. For heavy API users, Pro (¥4,980/mo) offers 1,000 requests/day — cheaper than comparable Japanese financial data APIs, but Business (¥29,800/mo) jumps for 10x requests. Enterprise is custom. Researchers get a great deal with the Academy plan (1,000 requests/day free).
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.
Individual investor: under 5 minutes to start browsing the dashboard; no signup needed for rankings. API/MCP: ~3 minutes to get a free API key and configure the MCP server (claude_desktop_config.json or claude mcp add) — instant access to 100 requests/day. Quant analyst: ~30 minutes to read the API docs and pull first data sets.
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 spreadsheets or manual EDINET XBRL parsing: Use the free API to pull structured data directly, saving hours of normalization work.
- →From LLM-based extraction: Switch to EDINET DB's deterministic parsing to eliminate hallucination risk — every figure traces to a docID.
- ↗To J-Quants: For real-time price data, you'll still need J-Quants; EDINET DB complements but doesn't replace price feeds.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Dexter Jp
Common stack mates teams adopt alongside Dexter Jp, with the specific reason each pairing earns its keep.
FinceptTerminal
A free open-source financial terminal with AI research, 41 modules, and live data for 423,000+ instruments.
Kavout
AI financial research agents for smarter investing decisions.
Finster AI
Enterprise AI platform for finance, automating data synthesis, analysis, and presentation with traceable citations.
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 Screenplayiq
ScreenplayIQ and Dexter Jp serve entirely different markets: screenwriting vs. Japanese financial research. Choose ScreenplayIQ if you're a filmmaker wanting data-driven script feedback and box office predictions. Choose Dexter Jp if you're an investor or developer needing free, structured financial data on Japanese companies with API/agent integration. No direct competition.
Dexter Jp vs Bitsgap
Bitsgap and Dexter Jp serve entirely different markets. Bitsgap is for crypto traders seeking automated bot strategies across multiple exchanges, while Dexter Jp is a specialized financial research platform for Japanese equities with free API/MCP. Choose based on asset class: crypto vs. Japanese stocks.
Alternatives to Dexter Jp
View allFinceptTerminal
A free open-source financial terminal with AI research, 41 modules, and live data for 423,000+ instruments.
Finster AI
Enterprise AI platform for finance, automating data synthesis, analysis, and presentation with traceable citations.
Frequently Asked Questions
Best-of guides
Topics
Used Dexter Jp? Help shape our editorial sentiment research.