Most AI builders don't want a financial data API. They just want stock prices and financials to work in their app without extra engineering overhead. When you're building an AI-powered finance app on your own, the last thing you want is to spend a weekend cleaning up messy data. We built our Individual plan so it plugs straight into the tools you're already using: Claude, ChatGPT, and Cursor, so it just works. Sign up, grab your API key, and see real data in your app within minutes. Start your free trial today → https://lnkd.in/ep4ym_8K #AI #fintech #buildinpublic #API
Intrinio
Financial Services
St. Petersburg, Florida 2,161 followers
Data Intelligence, On Demand.
About us
Intrinio is a financial data company on a mission to power fintech innovation by providing high-quality data to developers and engineers from fintech companies, large institutions, hedge funds, and startups. Intrinio provides standardized and as-reported fundamentals for US-based publicly traded companies, real-time market data, options, alternative data, ETFs, and more via a powerful application programming interface (API) that can be easily integrated into applications, websites, widgets, algorithms, and other financial tools. Learn more at https://intrinio.com/
- Website
-
http://www.intrinio.com
External link for Intrinio
- Industry
- Financial Services
- Company size
- 11-50 employees
- Headquarters
- St. Petersburg, Florida
- Type
- Privately Held
- Founded
- 2010
- Specialties
- financial data, valuation analysis, stock reports, collaboration, bank data, Excel add-in, APIs, Stock screener, market data, stock prices, economic data, institutional holdings, insider transactions, fundamentals data, sector & industry data, and fintech
Locations
-
Primary
Get directions
600 First Avenue North
Suite 203
St. Petersburg, Florida 33701, US
Employees at Intrinio
Updates
-
If you're the CTO or co-founder building a fintech product, the real cost of a data vendor isn't the invoice; it's the six-week eval and the engineering time spent working around someone else's schema. Our Startup plan removes that cost: commercial usage rights from the first API call, normalized data, and a free-trial you can test before you commit. No discovery call. No contract negotiation. Just a production-grade dataset built for teams shipping fast. Start your free trial today → https://lnkd.in/ekB7uzqC #fintech #startups #API #buildinpublic
-
-
If you're the founder-CEO building a fintech product, the data vendor decision isn't really about the feed; it's about how fast your team can ship. We built our platform so that decision doesn't slow you down. Sign up, start a free trial, and get real data flowing within minutes, no discovery call, no sales cycle. Start your free trial today → https://lnkd.in/ekB7uzqC #fintech #startups #buildinpublic #fintechfounders
-
-
Should you build your own financial data pipeline, or buy one? We broke down the real cost of each, not just the invoice. Full breakdown → link in bio. #fintech #API #startups #buildinpublic
-
-
Options data shouldn't feel like a black box. We built OptionsEdge, our proprietary real-time options and analytics feed: implied volatility, delta, gamma, theta, and vega, delivered without the exchange-agreement overhead most legacy providers require. See OptionsEdge in action → https://lnkd.in/gF3EmKGk #options #fintech #API #RealTimeData #tradingtech
-
-
At Intrinio, we're on a mission to power fintech innovation by making institutional-quality data accessible to everyone building in this space. Getting institutional-grade market data used to mean exchange agreements, contracts, and months of legal review before you saw a single row of data. We built our platform differently: sign up, start a free trial, and get your API key in minutes. No discovery call. No paperwork marathon. Start your free trial today → intrinio.com/pricing #fintech #financialdata #API #startups #buildinpublic
-
-
When we say Intrinio's MCP server gives your AI institutional-grade data, here's what that actually covers: • Stock Prices • Options • Fundamentals • Estimates • ETFs & Funds • Indices & Events Six data domains, one connection — normalized at the source and ready for LLM pipelines on day one. Research copilot, screener, internal analyst assistant — the data layer is already there. Explore what's available → https://intrinio.com/mcp #fintech #financialdata #API #AI
-
-
What if your AI could answer this without a single API call: "Pull the last four quarters of revenue and EPS for NVDA, MSFT, and AMD — which has the cleanest beat-and-raise pattern?" With Intrinio's MCP server, it can. Ask in plain language inside Claude, ChatGPT, or Cursor and get institutional-grade fundamentals back in real time — no context switching, no glue code. Try it → https://intrinio.com/mcp #fintech #AI #financialdata #quant
-
-
One question this week: which builder are you? • Solo dev or analyst → Individual, $150/mo • Team going prototype → production → Startup, $333/mo • Institution that needs it curated → Enterprise, custom Three plans. Two need no sales call. All run on institutional-grade data. Pick your lane and start today. See the plans → https://lnkd.in/eUYm5b9q #fintech #financialdata #API #marketdata
-
-
You've got the model, the architecture, the team. Then you hit the financial data — and everything slows down. The Intrinio Startup plan removes that bottleneck: normalized, AI-ready data provisioned in under 2 minutes, transparent pricing, SDKs and sandboxes to test fast. No discovery call. No contract negotiation. Ship the product, not the procurement. Start free → https://lnkd.in/ekB7uzqC #startups #fintech #buildinpublic #API
-