LangAlpha – what if Claude Code was built for Wall Street?

In plain words

LangAlpha is an AI coding assistant designed for financial analysis and research. It addresses limitations of standard AI agents when working with financial data at scale by auto-generating typed Python modules from data tool schemas, reducing token consumption and prompt overhead. The tool supports persistent research across sessions and integrates approximately 80 financial data tools while keeping prompt costs constant regardless of server complexity. It is built for financial professionals and developers who need efficient, token-aware AI assistance for quantitative work and market research.

written from the facts on this page · September 2026

From the sources

Claude Code for Financial Market. Contribute to ginlix-ai/LangAlpha development by creating an account on GitHub.

In the maker’s words, at launch

Some technical context on what we ran into building this. MCP tools don't really work for financial data at scale. One tool call for five years of daily prices dumps tens of thousands of tokens into the context window. And data vendors pack dozens of tools into a single MCP server, schemas alone can eat 50k+ tokens…

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  Agent 37Mar 2026 · agent37.com · ▲401

  Hey HN, I noticed there are 1,000+ MCP skills on GitHub with zero way for creators to charge for them. So I built Agent37. Selling Claude skills today means asking customers to download your skill, set up Claude Code on their laptops, configure MCP servers, and pray it works. No trial, no updates, often you're just handing over the source. Agent37 lets creators upload a skill, share a link, and anyone can try it instantly (no Claude account needed). Built-in Stripe, creators keep 80%. Looking for feedback on the approach. Would you use something like this?

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  Alpha Vantage MCPNov 2025 · mcp.alphavantage.co · ▲104

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  Hey HN! I built Browser AI after getting frustrated with the official Playwright MCP server in Claude Code. If you've used it, you know the pain: - 20+ separate tools that Claude has to juggle (click, fill, navigate, wait_for_selector, etc.) - Context window explosions from verbose screenshot data and DOM snapshots - Constant tool selection errors where Claude picks the wrong tool or forgets parameters Browser AI wraps Playwright MCP with a single natural language interface. Instead of Claude managing dozens of tools, you get one: browser_ai.execute. Just tell it what you want in plain…

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  delegareApr 2026 · delegare.dev · ▲70

  Hi guys, am building SecureLend.ai and when working on our underwriting agents (free trial, paid after) I had issues with seamless payment options. Of course I looked at x402 which I believe is a great protocol but not a fan of a) sharing private keys with the agent b) having a human in the loop or c) similar workaround e.g. pre-funded wallets So I started building out a solution. For my use case it was important to not only have stablecoins but also a fiat rail which is now implemented using Stripe. Initially I build a mandate system internally but am very glad and big shoutout to the guys…

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