ValueAgent

ValueAgent is an AI investment research tool that generates full-length, institutional-style stock theses for individual investors and analysts. Trained on the frameworks of legendary investors — Warren Buffett, Seth Klarman, and Chris Hohn — the platform's AI agents read public filings and produce a 12,000-word written thesis per ticker in roughly thirty minutes, delivered to your inbox with no login required for the first analysis. Each report includes a multi-scenario DCF valuation (bear, base, and bull intrinsic values), an Earnings Power Value (EPV) calculation, ROIC and revenue CAGR history, a management credibility grade, and a stock-based compensation impact analysis. The output also surfaces four distinct verdict zones — Buy, Watch, Pass, and Avoid — each anchored to a specific margin-of-safety threshold drawn from the named investors' documented criteria. For example, the Klarman zone requires a 30% margin of safety while the Buffett zone targets a wonderful business at fair price. This structured verdict framework lets users immediately see whether a stock meets their own required margin of safety without having to reconstruct the math. The tool is positioned as a best AI for value investing research, specifically for long-term, fundamentals-driven investors who want systematic, Buffett-style analysis at scale. Pricing offers a free first thesis with no credit card, making it accessible for evaluation before committing. Best for: independent value investors, CFA candidates, and small fund analysts who want deep, data-grounded equity write-ups without hiring a research team.

stock investment thesis generation, equity valuation, DCF analysis, value investing research, margin of safety calculation, ROIC analysis, fundamental analysis