Invesst adds Valuation Models coverage that Reflexivity skips.
VOL. XCIV, NO. 247
★ FINANCIAL TOOLS & SERVICES DIRECTORY ★
PRICE: 5 CENTS
Sunday, October 5, 2025
Head-to-head
Invesst vs Reflexivity comparison
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
Reflexivity includes Quant, Performance Attribution, Scenario & Stress Tests, Backtesting, Alerts, News, Data APIs, Transcripts, AI Report, and APIs & SDKs categories that Invesst omits.
Invesst highlights: AI-driven investment research with natural-language agents and data-rich search capabilities., Automated valuation models including DCF, along with predictive analytics and customizable screeners., and Real-time market data for stocks and ETFs, plus filtering tools across multiple metrics..
Reflexivity is known for: Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe—all included without the need for separate data contracts., Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports., and Document Intelligence to search and extract from SEC filings, transcripts, presentations, and central bank documents; includes OCR for charts and tables and custom ingestion for proprietary docs..
Invesst
invesst.ai
An AI-first research platform with screeners, automated DCF and valuation tools, and real-time market data. The site highlights “Universal Brokerage Integrations” for read-only portfolio insights. Currently in open beta with a “Start for Free” option, though full pricing is only described in the Terms as monthly or annual subscriptions. Security claims include SOC2, ISO 27001, and GDPR compliance, with a linked Trust Report (unverified).
Platforms
Pricing
Quick highlights
- AI-driven investment research with natural-language agents and data-rich search capabilities.
- Automated valuation models including DCF, along with predictive analytics and customizable screeners.
- Real-time market data for stocks and ETFs, plus filtering tools across multiple metrics.
- Portfolio insights through read-only brokerage linking, marketed as “Universal Brokerage Integrations.”
- Public security claims include SOC2, ISO 27001, and GDPR, along with a published Trust Report.
Community votes (overall)
Reflexivity
reflexivity.com
Reflexivity is a sales-led enterprise platform (annual subscription) designed for institutions. Deep Research features are still in beta and not enabled for all accounts. All listed data sources (S&P Global, Refinitiv, Nasdaq, Cboe, etc.) are included out of the box—no separate contracts required.
Categories
Platforms
Pricing
Quick highlights
- Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe—all included without the need for separate data contracts.
- Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports.
- Document Intelligence to search and extract from SEC filings, transcripts, presentations, and central bank documents; includes OCR for charts and tables and custom ingestion for proprietary docs.
- Portfolio Insights delivers real-time alerts, risk/exposure analytics, and performance attribution. Portfolios can be replicated via manual entry or file upload. The system produces over 1,500 daily insights spanning 40k+ assets, 250+ indicators, and 20 years of history.
- Scenario Analysis allows backtesting and stress testing with 50+ years of historical market data. Users can model custom scenarios and view results in real time.
Community votes (overall)
Shared focus areas
4 overlapsMutual strengths include Screeners, Portfolio, and AI plus 1 more area.
Where they differ
Invesst
Distinct strengths include:
- AI-driven investment research with natural-language agents and data-rich search capabilities.
- Automated valuation models including DCF, along with predictive analytics and customizable screeners.
- Real-time market data for stocks and ETFs, plus filtering tools across multiple metrics.
- Portfolio insights through read-only brokerage linking, marketed as “Universal Brokerage Integrations.”
Reflexivity
Distinct strengths include:
- Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe—all included without the need for separate data contracts.
- Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports.
- Document Intelligence to search and extract from SEC filings, transcripts, presentations, and central bank documents; includes OCR for charts and tables and custom ingestion for proprietary docs.
- Portfolio Insights delivers real-time alerts, risk/exposure analytics, and performance attribution. Portfolios can be replicated via manual entry or file upload. The system produces over 1,500 daily insights spanning 40k+ assets, 250+ indicators, and 20 years of history.
Feature-by-feature breakdown
Attribute | Invesst | Reflexivity |
---|---|---|
Categories Which research workflows each platform targets | Shared: Screeners, Portfolio, AI, AI Chat Unique: Valuation Models | Shared: Screeners, Portfolio, AI, AI Chat Unique: Quant, Performance Attribution, Scenario & Stress Tests, Backtesting, Alerts, News, Data APIs, Transcripts, AI Report, APIs & SDKs |
Asset types Supported asset classes and universes | Stocks, ETFs, Cryptos | Stocks, ETFs, Bonds, Commodities, Currencies |
Experience levels Who each product is built for | Beginner, Intermediate, Advanced | Intermediate, Advanced |
Platforms Where you can access the product | Web | Web, API |
Pricing High-level pricing models | Subscription | Subscription |
Key features Core capabilities called out by each vendor | Unique
| Unique
|
Tested Verified by hands-on testing inside Find My Moat | Yes | Not yet |
Editor pick Featured inside curated shortlists | Standard listing | Standard listing |
Frequently Asked Questions
Which workflows do Invesst and Reflexivity both support?
Both platforms cover Screeners, Portfolio, AI, and AI Chat workflows, so you can research those use cases in either tool before digging into the feature differences below.
Do Invesst and Reflexivity require subscriptions?
Neither platform maintains a free tier. Budget for a subscription to unlock the research coverage highlighted in this comparison.
How can you access Invesst and Reflexivity?
Both Invesst and Reflexivity prioritize web or desktop access. Investors wanting a mobile-first workflow may need to rely on responsive web views.
What unique strengths set the two platforms apart?
Invesst differentiates itself with AI-driven investment research with natural-language agents and data-rich search capabilities., Automated valuation models including DCF, along with predictive analytics and customizable screeners., and Real-time market data for stocks and ETFs, plus filtering tools across multiple metrics., whereas Reflexivity stands out for Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe—all included without the need for separate data contracts., Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports., and Document Intelligence to search and extract from SEC filings, transcripts, presentations, and central bank documents; includes OCR for charts and tables and custom ingestion for proprietary docs..
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Curation & Accuracy
This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).
Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.