Unless you’re a massive institution, you’ll likely face this dilemma: work with a big provider that doesn’t treat you like a priority, or a small provider without the resources to provide responsive support. In part four of our series, we’ll cover how Intrinio changes the game as a data partner.
Developers are shaping the future of finance from within fintechs and established financial institutions, but there are still so few resources for them when it comes to financial data. In this blog, we’ll discuss how Intrinio provides developer-first resources and tools.
New to Intrinio? Get a high-level overview of who we are, what we offer, and what it's like to work with us. Plus, we'll walk you through our sales and onboarding process step-by-step so you know exactly what to expect when you request a consultation with the Intrinio team.
Knowing where your provider gets their financial data is critical to developing confidence in your data. In part two of this blog series, we’ll cover the problems that can arise from a lack of transparency in data sourcing and explain where and how Intrinio gathers its data.
Data quality is, to use the technical term, pretty dang difficult. It's the main reason why free or incredibly cheap data sources don't cut it. In this blog, we’re going to share why data quality matters, why it’s so difficult, and how Intrinio is tackling it for our customers.
Intrinio offers multiple access methods to help you easily retrieve real-time, delayed, end of day, or historical financial data. Here's a breakdown of the four main access methods that Intrinio offers so you can pick the perfect access tool for your use case.
Real-time market data is a critical component for virtually every investment-focused fintech and financial institution. Here’s a look at what kind of real-time market data Intrinio provides, our primary delivery methods, and why it pays to get real-time stock data from Intrinio.
Real-time options pricing data can be prohibitively expensive. A filtered options data feed eliminates unactionable data to reduce bandwidth up to 80 percent. In this blog, we’ll explain why options data is so expensive and how filtered options delivers more value and less noise.
XBRL represents a massive shift in financial reporting, and it impacts what data you can access, how accurate that data is, and how difficult and expensive retrieving it will be for your company. We’ve put together a simple primer to explain what XBRL is and what it means for you.
No one ever said running a startup was easy (definitely not us). We asked some of our customers what financial data challenges they faced while trying to build successful fintech startups. Here are four of the roadblocks they encountered (and how your business can overcome them).