As of November 2026, Latka tracks 29 financial data APIs SaaS companies. They have combined revenues of $266.1M and employ 9.2K people. They have raised $384.1M and serve 2.4K customers combined.
Every company below sells financial data APIs software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
Financial Data APIs provide standardized interfaces through which financial services and platforms can exchange data seamlessly. These APIs enable businesses to access a range of financial information such as market data, transaction histories, and account balances, facilitating improved decision-making and operational efficiency. They are essential in the development of fintech applications that aim to innovate payment processing, investment management, and personal finance solutions. Common use cases for Financial Data APIs include banking services integration, investment analysis tools, credit scoring services, and budgeting applications. These APIs typically feature robust security protocols, real-time data access, and data aggregation capabilities, allowing businesses to offer enhanced services to their clients. Buyer personas who typically leverage these solutions include finance professionals, developers, data analysts, and IT operations teams focused on financial solutions.
Sorting: Highest -> Lowest
Showing 10 of 29 companies ranked by annual revenue.
Lehi, Utah, United States
MX Technologies, Inc. is a leader in actionable intelligence, enabling financial providers and consumers to do more with financial data. MX provides end-to-end solutions for financial institutions and fintechs to connect to, understand, and act on customers’ financial data.
San Francisco, California, United States
Bridging a world of consumer-permissioned credit data
United States
Argyle is the leading provider of direct-source access to real-time income and employment data. With Argyle, businesses automate critical workflows—including income and employment verifications, deposit switches, wage advances, and loan repayments—so they can save money, build more efficient processes, reduce risk, and scale. Named a World’s Most Innovative Company in 2024 by Fast Company, Argyle largely serves the mortgage, background check, personal lending, and banking industries as well as the gig economy. Founded in 2018, Argyle completed its Series C funding round in 2024, has raised over $100 million in capital, and is backed by top investors, including Rockefeller Asset Management, Bain Capital Ventures, Bedrock, Checkr, F-Prime, and SignalFire. Argyle’s coverage of the U.S. workforce includes 96% of the Fortune 1000 and delivers the highest conversion rates on the market. The company has been recognized by HousingWire as a Tech100 mortgage innovator, Fintech Nexus as an Emerging Fintech Innovator, Tearsheet as the Best Alternative Data Product, and Fintech Futures as the 2023 Fintech Startup of the Year. Argyle is also an authorized report supplier for Fannie Mae’s Desktop Underwriter® validation service, a component of Day 1 Certainty®, and Freddie Mac’s Asset and Income Modeler (AIM), part of Loan Product Advisor℠.
London, England, United Kingdom
Provider of a limit order book data and analytics platform designed to enable research scientists to immediately lever their statistical skills to quickly and efficiently investigate the problems their organization faces. The company's platform uses advanced machine learning and inference frameworks to help clients analyse limit order book data from a wide range of global financial markets and offers a suite of toolboxes which address common limit order book problems, enabling clients to better manage risk, understand strategies and optimize systems.
Singapore, Central Region, Singapore
Provider of a data visualization and basic analytics platform designed to pull together financial data across all banks and asset classes into a single portfolio. The company's platform helps in customizing modules for complex data analysis, create template or customized reports using data, offers specific module for relationship managers to view their client data, access data without any limitations as well as sends out data and insights, enabling financial institutions and wealth managers to analyze their data and gain new insights into their business.
United States
Serving asset managers, family offices, financial advisors and various banking institutions, Cbonds stands as your comprehensive financial data hub in over 80 countries. With over 20 years of experience as a trusted provider of financial data, Cbonds offers cutting-edge competitive products that leverage AI technology to deliver unparalleled insights into the bond market. Our platform offers detailed data on over 700,000 bonds from 180 countries. We guarantee 100% global coverage for Eurobonds, catering to your international investment needs. Our pricing data, sourced from more than 300 primary points, ensures accuracy and trustworthiness. Furthermore, users benefit from all-inclusive ratings from both major global and local agencies. Those looking to diversify can access stock market data from 100 trading floors worldwide. And whether you're at your desk or on the move, Cbonds is accessible via desktop, mobile, or our innovative Excel add-in. To stay ahead in your financial analysis, choose Cbonds and keep up with our latest updates by following us on Twitter and YouTube. #Cbonds #FinancialMarkets #InvestmentData #BondMarket #GlobalCoverage #UserExperience #DataAccess #FixedIncome #InvestmentBanking
Salt Lake City, Utah, United States
Databento is a licensed distributor of market data from over 60 trading venues. It offers market data APIs for real-time and historical data.
Jersey City, New Jersey, United States
Xignite provides cloud-based financial market data distribution solutions to fintech companies and financial services providers.
Latka tracks 29 financial data APIs SaaS companies with reported revenue. Together they generate $266.1M in annual revenue and employ 9.2K people.
MX is the largest, with $94.8M in annual revenue, founded in 2010.
The average financial data APIs SaaS company in this list makes $9.2M a year, across 29 companies with reported revenue. They serve 2.4K customers combined.
Ranked by annual revenue, the leaders are MX, TrueLayer, Insurely, Nova Credit and Argyle.
The 29 financial data APIs SaaS companies tracked here have raised $384.1M in disclosed funding between them.
- The product must provide access to financial data through standardized API endpoints. - It should support real-time data retrieval to facilitate timely decision-making. - Must include security features compliant with financial industry standards. - The API should allow for integration with third-party applications or platforms. - Not just data retrieval; must also offer data analysis or reporting capabilities.
