The brokerage infrastructure startup is betting AI agents will become the next generation of trading clients, as its API-driven volume surges 4x in a single quarter.
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Alpaca raises $435M to challenge Wall Street prime brokers
The brokerage infrastructure startup is betting AI agents will become the next generation of trading clients, as its API-driven volume surges 4x in a single quarter.
Alpaca has closed a $435 million funding round split between $135 million in equity and $300 million in debt, earmarking the capital to enter prime brokerage and compete directly with Wall Street's largest banks.
The company's API infrastructure already clears roughly 94 percent of US equities and ETFs, and serves as the backbone for Kraken's tokenized stock offerings, Alpaca said in a statement. The equity portion follows a $150 million Series D in January that valued the firm at $1.15 billion, with total equity funding now exceeding $320 million. Backers include Drive Capital, Spark Capital, Tribe Capital, Horizons Ventures and Y Combinator.
The $300 million debt component is expected to provide the balance sheet needed for margin and lending services, which are capital-intensive by nature. Traditional prime brokers such as Goldman Sachs and Morgan Stanley provide institutional clients with securities lending, margin financing, trade execution and custody — services that require significant capital reserves to offer at scale. Alpaca's entry threatens to undercut these incumbents with a lower-cost, automated alternative built on modern infrastructure.
The AI Agent Tailwind
Alpaca's API trading volume jumped nearly 4x quarter-over-quarter in the first quarter of 2026, a surge the company attributes not to human traders but to AI agents executing trades programmatically. The firm has been rolling out tools including its Trading MCP Server and a command-line interface designed for AI agents and natural language systems to execute trades without human intervention.
The shift represents a structural change in how financial markets operate. Rather than individual investors or institutional traders clicking buttons, AI agents can analyze market conditions, execute trades and manage portfolios autonomously. Alpaca's developer-first approach positions it to capture this growing segment, as more quantitative funds and fintech platforms build AI-driven trading strategies on top of its infrastructure. The 4x volume surge suggests this is not a theoretical trend but one already underway.
The clearest example of Alpaca's crypto bridge is its partnership with Kraken. The exchange uses Alpaca's technology to offer tokenized US equities and ETFs, allowing crypto-native users to buy fractional shares of traditional stocks through Kraken's platform, with Alpaca handling clearing and settlement on the back end. No new crypto tokens are associated with this funding round, and the company's value proposition remains in infrastructure rather than speculative assets. The partnership demonstrates how traditional market plumbing and crypto markets are increasingly converging.
Prime Brokerage Ambitions
Alpaca's entry into prime brokerage could reshape a market long dominated by Wall Street's largest banks. The company's API-first model offers lower-cost, automated alternatives to an industry that has seen little technological change over the past two decades. Its infrastructure already processes a significant share of US equity clearing, providing a foundation to build prime brokerage services on top of.
The move comes as AI-driven trading accelerates across financial markets. The 4x volume surge suggests institutional adoption of algorithmic trading is happening faster than many traditional brokerages have anticipated. If Alpaca successfully enters prime brokerage, it could capture market share from Goldman Sachs and Morgan Stanley, though the capital-intensive nature of the business means execution risk remains significant.
Alpaca's developer-focused approach and existing clearing infrastructure give it a unique competitive position. The company processes roughly 94 percent of US equities and ETFs through its API, meaning thousands of fintech applications and trading platforms already run on its technology. Converting those relationships into prime brokerage clients would be a natural expansion, though competing on margin financing and securities lending requires balance sheet strength that the $300 million debt facility only partially addresses. The company's success will depend on whether it can match the depth of services that incumbents offer while maintaining the cost advantages of its API-first model.
This article is for informational purposes only and does not constitute investment advice.
