# Distilla AI

> AI-powered equity research platform for fundamental investors: an MCP server, HTTP API and web app giving Claude, ChatGPT and custom agents financial statements, consensus, filings, transcripts, sell-side research and explained price moves for US, Japan and Hong Kong stocks.

## Pages

- [Home](https://www.distilla.ai): product overview
- [Newsletters](https://www.distilla.ai/newsletters): Fundamental Signals, a daily AI-generated, investor-reviewed newsletter
- [About us](https://www.distilla.ai/about-us): team and mission
- [Blog](https://www.distilla.ai/blog): guides and comparisons

## Articles

- [We Asked Claude 200 Stock Questions Twice. Web Search Held Up Until the Questions Got Harder.](https://www.distilla.ai/articles/claude-web-search-vs-distilla-mcp-benchmark): Same model, same questions. One run had web search, the other also had a financial data layer. Here is where the difference showed up, and where it didn't.
- [How to Build a Sony DCF with Scenarios Using Claude or Codex and Distilla](https://www.distilla.ai/articles/how-to-build-a-sony-dcf-with-scenarios-using-claude-or-codex-and-distilla): Build a Sony DCF with base, bull and bear scenarios using Claude or Codex and Distilla: segment inputs, prompts, a reverse DCF and how to stress-test it.
- [Best Financial MCP Servers for Claude & ChatGPT (2026)](https://www.distilla.ai/articles/best-financial-mcp-servers): Compare the best financial MCP servers for Claude and ChatGPT across market data, financials, research and company knowledge, and how to combine them.
- [Distilla vs AlphaSense: An AlphaSense Alternative for AI Agents?](https://www.distilla.ai/articles/distilla-vs-alphasense-an-alphasense-alternative-for-ai-agents): Distilla vs AlphaSense: an AI-native AlphaSense alternative with an MCP server and API for agents. Compare coverage, pricing model and where each one wins.
- [How to Use Claude for Stock Research: Data Sources, Prompts, Pitfalls](https://www.distilla.ai/articles/how-to-use-claude-for-stock-research-data-sources-prompts-pitfalls): How to use Claude for stock research: connect real data sources, write precise prompts, verify figures and dates, and avoid the most common pitfalls.
- [Market Data API vs Research Layer: Distilla vs Financial Datasets, FMP and Daloopa](https://www.distilla.ai/articles/market-data-api-vs-research-layer-distilla-vs-financial-datasets-fmp-and-daloopa): Market data API vs research layer: Distilla vs Financial Datasets, FMP and Daloopa for AI agents: prices, financials, narrative and company knowledge.
- [MCP for AI Trading Agents: Brokers, Research Data and Guardrails](https://www.distilla.ai/articles/mcp-for-ai-trading-agents-brokers-research-data-and-guardrails): Give AI trading agents research context: pair brokerage MCP servers such as Robinhood with research data, a pre-trade check and sensible guardrails.
- [Researching Japan, Hong Kong, Korea and China Stocks with AI](https://www.distilla.ai/articles/researching-japan-hong-kong-korea-and-china-stocks-with-ai): Research Japan, Hong Kong, Korea and China stocks with AI: handle local tickers, odd fiscal years and non-English research, with prompts and free sources.
- [Why Did That Stock Move? How Explained Price Moves Work](https://www.distilla.ai/articles/why-did-that-stock-move-how-explained-price-moves-work): What an explained price move is, how Distilla attributes why a stock moved, and how to ask Claude or ChatGPT for the cause of a 3%+ move, with a real example.
- [Why Stocks Fall After an Earnings Beat (and How to Screen for Them)](https://www.distilla.ai/articles/why-stocks-fall-after-an-earnings-beat-and-how-to-screen-for-them): Why stocks fall after an earnings beat, how to read a beat-and-drop, and how to screen for beats with falling prices and valuations near three-year lows.