Kavout
Kavout pairs seven AI research agents with Kai Score stock picking across 30+ global markets for self-directed investors.
Kavout has grown up since our last pass. The Pro tier at $16/mo billed annually (or Premium at $39/mo billed annually) now bundles seven research agents, Smart Money flows covering insider, Congress and guru holdings, and 30+ global markets — that is a genuinely distinct bundle from ChatGPT, Perplexity or TradingView. Where it still lags: nothing in the scrape explains the methodology behind Kai Scores or the 100+ Smart Signals, so treat them as one input, not a verdict. Pair Kavout with TradingView or Finviz for charting and a filing-level tool for deep fundamentals.
Verified 9d ago · liveness 77/100 · cite: rightaichoice.com/tools/kavout
- Self-directed investors who want AI-generated signals as one input among several
- Active investors comfortable running multiple research queries per week
- Global investors who need coverage outside US markets
- Developers building on quantitative signal data via API
- Investors seeking personalized investment advice — Kavout states it makes no recommendations
- Fundamental analysts who need deep financial-statement and filing-level research
- Traders needing real-time data across all asset classes (commodity futures and indices may be delayed 15–20 minutes)
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 Kavout if you need verified, published factor methodology behind every signal, require deep filing-level fundamental research, or trade commodity futures and indices intraday where its roughly 15–20 minute quote delay would put you behind.
Research runs on a credit meter — 10/month on Free, 1,000/month on Pro, 3,000/month on Premium — and multi-agent deep research burns credits faster than a single InvestGPT question, so you hit the ceiling sooner than
At $0/mo Free, $16/mo billed annually for Pro, and $39/mo billed annually for Premium, Kavout undercuts most institutional-grade research subscriptions and sits well below Bloomberg Terminal economics. It lands in the same band as ChatGPT Plus ($20/mo) or Perplexity Pro ($20/mo) but bundles named investment agents, Smart Money flow data and 30+ global market coverage those general assistants do not provide. Buyers who only need charting still get more from TradingView or Finviz at similar spend.
In short
Kavout — Kavout pairs seven AI research agents with Kai Score stock picking across 30+ global markets for self-directed investors. Best for Self-directed investors who want AI-generated signals as one input among several, Active investors comfortable running multiple research queries per week, Global investors who need coverage outside US markets. Free to start; paid plans from $16/mo.
What people actually say about Kavout — 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.
11 mentions across 1 source (Hacker News) · researched Aug 5, 2026.
Average across the 1 source that answered — each source counts once, not each post.
- +AI research agents automate buy/sell/hold ratings, technical signals, and news sentiment.
- +InvestGPT conversational AI answers market questions naturally.
- +Comprehensive coverage: US stocks, ETFs, crypto, forex, and over 70 currency pairs.
- +Smart money indicators claim to reveal institutional flow insights.
- +API for signal data enables developer integration and automation.
- −No independent community feedback or user reviews on platforms like Reddit.
- −Delayed quotes for futures and indices hinder real-time trading decisions.
- −Limited charting tools and fundamental analysis compared to competitors.
- −All Hacker News posts are self-promotional and dead on arrival.
- −Pricing details are unclear, with only generic 'freemium' info provided.
- • Affiliate program commissions may influence marketing content
- • Potential need for an API subscription for developer access
Viability Score
How well maintained and how widely used is Kavout? 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
- InvestGPT conversational AI for plain-English market questions
- Seven specialized AI research agents (technicals, fundamentals, news sentiment, more)
- AI Stock Picker with Kai Score and factor rankings
- Kai Score combines Greenblatt, Lynch and Piotroski strategies with Quality, Value, Momentum factors
- Smart Signals: 100+ trading setups across multiple timeframes
- Smart Money intelligence: insider trades, Congress transactions, analyst ratings, guru holdings
- Portfolio Toolbox with Factor Portfolio Builder and Analysis
- Portfolio Diagnosis and Portfolio Optimization (Premium tier)
- My Portfolios position tracking
- Guru Portfolios (Premium tier)
- Research library with saved prompts, research history and chat history
- Watchlist for stocks, ETFs, crypto and forex
- Market Movers tracking (gainers, losers, volume)
- Stocklist curation (themed lists)
- 30+ global market coverage: US, Canada TSX, UK LSE, 18+ European exchanges, ASX, Asian markets
About Kavout
Kavout is an AI research platform for self-directed investors. Its core surface is InvestGPT, a chat interface that answers plain-English market questions in any of 13 native languages, backed by a team of seven specialized AI agents covering technicals, fundamentals, news sentiment and more, with every answer saved into a research library. Around that sit an AI Stock Picker that blends Greenblatt, Lynch and Piotroski strategies with Quality, Value and Momentum factor scoring (the Kai Score), Smart Signals covering 100+ trading setups across timeframes, Smart Money intelligence tracking insider trades, Congress transactions, analyst ratings and guru holdings, and a Portfolio Toolbox with factor portfolio building, diagnosis and optimization. Coverage spans US stocks and ETFs, crypto and major forex on the Free tier, expanding to 30+ global markets (Canada TSX, UK LSE, 18+ European exchanges, ASX, and Asian markets) on Pro and Premium. Quotes are real-time for US stocks, ETFs, crypto and major forex; commodity futures and indices may be delayed roughly 15–20 minutes. The platform is informational only — Kavout states it makes no recommendations and you own your investment decisions.
Behind the Verdict
Kavout's pitch is that it replaces the manual scanning layer of equity research with algorithmic signals and a conversational front end. In practice that means three things you can't easily replicate elsewhere: InvestGPT with seven named agents whose outputs persist in a searchable research history; Smart Money intelligence that cross-references insider trades, Congress transactions, analyst ratings and billionaire holdings; and a global coverage footprint of 30+ markets that most retail-priced AI tools skip. The AI Stock Picker is the most opinionated piece — it fuses Greenblatt's magic formula, Lynch's growth-at-reasonable-price thinking and Piotroski's F-Score with Quality, Value and Momentum factors into a single Kai Score. That is a legitimate factor stack, not a black box in the sense of being unknowable; it's a black box in the sense that the weights aren't published. Premium adds the Portfolio Toolbox layer — factor portfolio building, diagnosis and optimization, plus Guru Portfolios tracking. The clear weak points: no personalized advice in any tier (Kavout says so explicitly), charts are not the focus, commodity futures and index quotes lag roughly 15–20 minutes, and there is no published methodology document for the signals. If you are a fundamental analyst who lives in 10-Ks, this is a complement, not a replacement. If you are a self-directed investor who wants a fast second opinion on a ticker plus a systematic screen to surface candidates, the math on Pro is easy: $16/mo billed annually is cheaper than a single discounted trade commission at most legacy brokers. The credit system is the real constraint — 1,000 research credits per month on Pro sounds generous until you start running multi-agent deep research repeatedly, and there is no published overage rate in the scrape. Watch your consumption for the first month and decide whether Premium's 3,000 credits is the honest tier for you.
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Real-world workflow fit
Concrete scenarios for the personas Kavout actually fits — and what changes day-one when you adopt it.
Runs a pre-market check: Market Movers for unusual volume, Smart Money for insider and Congress filings from the prior session, then InvestGPT on the two names that flag. Later, screens the AI Stock Picker by Kai Score to build a candidate shortlist and saves the queries to the research library.
Outcome: Two or three hours of manual screen-scanning and filing reading collapses into a 20–30 minute routine, with every answer and prompt archived so the thesis can be revisited instead of rebuilt.
Asks InvestGPT in their native language which stocks to look at across 30+ markets, then drills into a Canadian or European name using the 7-agent deep analysis and cross-checks it against Smart Money holdings and the Factor Portfolio Builder.
Outcome: Research that would otherwise require separate regional data subscriptions and English-only tooling arrives in one workflow, in the user's own language, with portfolio-level construction handled in the same platform.
Pulls the signal database through the Kavout API to feed an internal model or dashboard, using the platform's output as a feature source rather than an end-user interface.
Outcome: Gets quantitative signal data without building the underlying factor stack from scratch, though the absence of published methodology means the signals work better as one feature among many than as a standalone model.
Use Cases
- Ask InvestGPT "Should I buy NVDA?" and get a multi-agent read in your native language with technical, fundamental and sentiment angles combined.
- Screen thousands of global stocks by Kai Score using AI Stock Picker's blend of Greenblatt, Lynch and Piotroski strategies plus factor analysis.
- Track insider trades, Congress transactions, analyst ratings and guru holdings side by side to spot high-conviction flow before it shows in price.
- Stack Smart Signals across timeframes to find entry and exit points in US and global equities or crypto.
- Build and diagnose a factor portfolio in the Portfolio Toolbox, then run Portfolio Optimization to rebalance it.
- Keep a research library of saved prompts and past InvestGPT answers so you can revisit your thesis on a name months later.
- Monitor Market Movers on a daily swing to catch unusual volume without manually scanning screens.
- Pull Kavout signal data through the API to feed your own models or dashboards.
Models Under the Hood
as of 2026-09-15
Limitations
- Kavout publishes no methodology for how Kai Scores or the 100+ Smart Signals are calculated, so those outputs function as a directional input rather than a verifiable factor model.
- Coverage on the Free tier is US stocks and ETFs, crypto and forex only; 30+ global markets unlock at Pro and above.
- Quotes for commodity futures and indices may be delayed roughly 15–20 minutes, so intraday strategies on those instruments are not supported.
- The platform is informational only — Kavout states it makes no recommendations and that you are solely responsible for your investment decisions.
- Research is credit-metered (10/mo on Free, 1,000/mo on Pro, 3,000/mo on Premium), and Multi-agent deep research consumes credits faster than a single chat query.
as of 2026-09-29
Verification history
We have re-verified Kavout 20 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-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — 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 20 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 Kavout 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 investor trying AI research before committing — enough to test InvestGPT, build a watchlist and watch market movers on US stocks, ETFs, crypto and forex.
What this tier adds
Starting tier at $0/mo: 10 research credits/month, 1 agent, US-only market coverage, limited financial metrics.
Pro
$16/mo (billed as $192 every 12 months)
Ideal for
Active self-directed investor running AI research several times a week who needs global coverage, Smart Money flow and portfolio tracking at $16/mo billed annually ($192 per year).
What this tier adds
Adds 1,000 research credits/month, 7 AI research agents, 30+ global markets, AI Stock Picker, Smart Signals and Smart Money, Portfolio Toolbox, real-time alerts and advanced financial metrics.
Premium
$39/mo (billed as $468 every 12 months)
Ideal for
Serious investor or active trader who wants portfolio construction and optimization, not just screening — priced at $39/mo billed annually ($468 per year).
What this tier adds
Triples credits to 3,000/month and adds Factor Portfolio Builder & Analysis, Portfolio Diagnosis, Portfolio Optimization, Guru Portfolios, My Portfolios and priority support.
Where the pricing makes sense
The company stage and team size where Kavout's pricing actually pencils out — and where peers do it cheaper.
At $0/mo Free, $16/mo billed annually for Pro, and $39/mo billed annually for Premium, Kavout undercuts most institutional-grade research subscriptions and sits well below Bloomberg Terminal economics. It lands in the same band as ChatGPT Plus ($20/mo) or Perplexity Pro ($20/mo) but bundles named investment agents, Smart Money flow data and 30+ global market coverage those general assistants do not provide. Buyers who only need charting still get more from TradingView or Finviz at similar spend.
Setup time & first value
How long it actually takes to get something useful out of Kavout — broken out by persona, not the marketing-page minute.
Free-tier users can sign up and ask InvestGPT a first question in under 10 minutes — the chat, watchlist and market movers are usable immediately on the 10 monthly free credits. Pro and Premium subscribers should budget 30–60 minutes on day one to wire up Smart Signals, Smart Money and the AI Stock Picker into a screen, and another week of use to calibrate how quickly deep multi-agent research
Switching to or from Kavout
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Finviz or TradingView: layer Kavout's AI Stock Picker and Smart Money flow on top of your existing charting rather than replacing it — Kavout is not a chart-first tool.
- →From ChatGPT or Perplexity for investing questions: move those prompts into InvestGPT, which adds live market data, named research agents and saved research history over a general assistant.
- →From manual screeners: rebuild your screen in the AI Stock Picker using Kai Score and factor filters, and save the query as a prompt for repeat runs.
- →From a spreadsheet watchlist: import tickers into Kavout Watchlist and My Portfolios to get quotes, alerts and research tied to the same list.
- →From a signal API vendor: test Kavout's signal database against your existing feed before switching, since the methodology is not published.
- ↗To TradingView: export your watchlist tickers and rebuild charting there — Kavout does not compete on chart depth.
- ↗To Finviz or a screener: recreate your Kai Score filters as conventional factor screens.
- ↗To a robo-advisor or human advisor: move portfolio holdings out when you want personalized advice, which Kavout explicitly does not provide.
- ↗To an OpenAI or Anthropic API: replace InvestGPT chat with a general assistant plus your own market data feed if you only used the conversational layer.
- ↗To a filing-level research tool: move fundamental deep dives to a platform built around 10-K and filing data.
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Kavout”, and we withheld 6: 6 could not be judged, because “Kavout” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Kavout.
Official links
Tools that pair well with Kavout
Common stack mates teams adopt alongside Kavout, with the specific reason each pairing earns its keep.
FinceptTerminal
FinceptTerminal is an open-source desktop financial terminal with AI research agents and 41 modules, free under AGPL-3.0 or from $15/user/mo for the private
FinRobot
Open-source AI agent that turns a stock ticker into a structured equity research report with DCF and comparable valuation.
Hudson Labs (formerly Bedrock AI)
AI research co-analyst for US public markets — SEC filing search with a No Hallucination Guarantee.
Alternatives to Kavout
View all
FinceptTerminal
FinceptTerminal is an open-source desktop financial terminal with AI research agents and 41 modules, free under AGPL-3.0 or from $15/user/mo for the private
FinRobot
Open-source AI agent that turns a stock ticker into a structured equity research report with DCF and comparable valuation.
Hudson Labs (formerly Bedrock AI)
AI research co-analyst for US public markets — SEC filing search with a No Hallucination Guarantee.
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