Thesis Snapshot API validates investment theses with LLM and web research
The project offers a FastAPI backend and a Next.js dashboard that let users submit stock tickers and investment theses. It uses Claude LLM and web search to generate research notes, then evaluates the thesis against cached data, returning a verdict and observation points. Designed for investors and analysts, it provides compliance gating and unlimited cache reads, reducing API costs. Compared to generic LLM wrappers, it adds domain‑specific grounding, caching, and compliance layers.
View on GitHub →nnjjss/thesis-snapshot-api