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AI Agent Stock Market Brain
Learn how to give your AI agents access to the highest quality financial data.
Yann from FinTex
May 29, 2025
Hey — It’s Yann.
Welcome to the first FinTex edition, weekly FinTech news and trends, helping you to build x10 faster. This newsletter takes 5 minutes to read.
If you only have 30 seconds: Financial Datasets AI pipes “AI-permissive” stock-market data straight to your code, no vendor PDF gymnastics required. $199/mo gets you 200 req/min of prices, statements, SEC filings, and news for every US ticker. I swapped a weekend of manual parsing for a 10-line requests script. Worth a look if you’re building an LLM-powered research tool or a quant bot.
Let’s get into it.
FinTech Focus
The $∞ Hair-Pulling Problem
Most finance developers have encountered this issue: getting real-time, high-quality stock-market data without going bankrupt.
Last Monday, I fired up four different “live” feeds looking for clean ticks on AMD before the bell. One rounded prices to two decimals (yikes), another lagged the tape by nearly a second, the “premium” option wanted four figures a month plus exchange fees, and the freebie throttled me after 20 calls. An hour later—after way too many open tabs—I still didn’t trust a single quote enough to push to prod.
Reliable, real-time data shouldn’t feel like a scavenger hunt locked behind paywalls, rate limits, and legal gotchas—but that’s exactly where most indie fintech devs end up.
Then I stumbled on Financial Datasets AI. And honestly?
It felt like typing cheat_mode = True in my code.
“Premium stock-market data for AI agents”
Financial Datasets AI is “the Stripe API for public-company data.” Non-technical friend version: hit a URL, get JSON with everything a CFA would want.
The magic: Data is normalized to a single schema and licensed for agent use, so GPT/Claude can ingest it without complexity.
With over 30,000 tickers and more than 30 years of historical data, this service provides top-tier financial information for your finance app.
Key Information
🙋♂️ Founded in 2024 by Virat Singh (ex-Sony/GoPro/Airbnb Engineer) in NYC.
💰 Entirely Bootstrapped.
🔎 Used by OpenBB (community terminal), several LangChain demos, and the viral “AI Hedge Fund” starter on GitHub.
The Bottom Line
Financial Datasets AI does one thing remarkably well: deliver AI-friendly US market data without the usual licensing migraines. At $199/mo, it pays for itself once you skip a single day of babysitting scrapers.
It proves that you don’t have to burn hundreds of millions to win in fintech infrastructure. Focused scope, ruthless developer experience, and community-led growth can still beat incumbents with deeper datasets but clunkier pipes.
More broadly, it’s a template for the next wave of vertical SaaS: pick a gnarly data set, normalize it for LLMs, wrap it in a no-brainer API, and let the builders do the selling. If you’re wondering where the Stripe-for-X opportunities are in an AI world, start by asking what other messy, high-value information still needs a plug-and-play brain.
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