Stripe launches SDK for AI agents to access payment and billing APIs

Global payment giant Stripe has unlocked new automation leveraging AI agents and large language models. The payment company’s agent toolkit will give developers the necessary tools and resources they need to integrate AI agents with financial services. 

Global payment processing platform Stripe has unveiled new functionality driven by AI technology. The technology company recently announced new automation relating to finance activities that AI agents can leverage. The agent toolkit integrates with prominent frameworks that allow AI agents to capitalize on the firm’s financial services. 

Developers can integrate their AI agents with the agent toolkit to automate financial services and offer new ways for participants to generate new revenue, automate support tasks, and handle transactions.

Stripe’s Agent toolkit unveils new automation for AI agents

Today(), @stripe is launching a SDK built for AI agents:

– LLMs can call payment, billing, issuing, etc APIs
– Integrates with @vercel, @LangChainAI, @crewAIInc
– Use any model via functions (w/ per token billing)

Excited what you, and your bots, build: https://t.co/3GiXmNm6en

— Jeff Weinstein (@jeff_weinstein) November 14, 2024

According to Jeff Weinstein, the Product Lead at Stripe, Stripes’ SDK will allow large language models to call payments, billing, and issuing. Weinstein also said Stripe will provide agents with its API that natively supports Vercel’s AI SDK, LangChain, and CrewAI to simplify workflows. 

The toolkit is built on top of the firm’s Node.js and Python SDKs and also supports any large language model provider capable of making calls. The framework breaks down each task and assigns it to specialized agents for execution.

A blog shared by the company’s developers detailed the practicability of the automation process by giving examples of real-world applications. The blog explained that a user may create an automated business process for specialized tasks such as invoicing users. The developer may utilize the Stripe Agent toolkit and pass its tools to the AI agent. 

The blog highlighted that the toolkit can be used simultaneously with other tools, allowing developers to offer users complex multi-step operations. Developers can advance automation by enabling AI agents to make financial transactions through virtual payment cards configurable for specific budgets and spending limits.

The toolkit also allows companies to implement metered billing based on actual usage, such as the number of tokens consumed by the agent. Stripe’s middleware tracks these activities and ensures accurate billing aligns with client demand.

The payment processing company termed the Agent’s behavior as unpredictable and recommended testing the functionality in a controlled environment. Stripe also advised developers to use restricted API keys to limit the agent’s functionality access.

Stripe continues to foster business growth using AI tools

The global payment firm has leveraged artificial intelligence technology to enhance cross-border payments in Asia. In late August, the company unleashed AI-powered tools for cross-border remittances during the Stripe Tour Singapore event. Stripe unveiled the Optimized Checkout Suite, Adaptive Pricing tool, and Radar Assistant. 

The Optimized Checkout Suite uses artificial intelligence to personalize customers’ payment experiences. The tool’s AI capability automatically selects the most suitable payment medium for the customer based on location and preferences. The adaptive pricing feature allows businesses to localize their prices for goods or services across 150 markets.

The Radar Assist tool allows businesses to describe the types of fraud they want to prevent and generates rules that are analyzed based on previous transactions.

Stripe has pioneered AI technology in the industry. In October, the payment company collaborated with Nvidia to progress artificial intelligence capabilities and enhance fraud detection. Stripe has used Nvidia’s technology to train its machine learning models and enhance its service offerings.