Stripe Data Analysis with Your Agent Reaches All Businesses.

Stripe data analysis with your agent is now available to all businesses. It lets an AI agent query payment and revenue data, then turn the results into charts, reports and breakdowns.

In its LinkedIn post, Stripe gives three examples: monthly recurring revenue analysis, a quarterly payments report, and a review of recent disputes and refunds.

There are two connection routes. Builders can connect an agent through Stripe MCP, which uses the Model Context Protocol, or work directly with the Queries and Reports APIs. The MCP route follows Stripe’s earlier work to expand AI agent and model connections through MCP.

The prompts ask for both calculations and presentation. An agent can be instructed to build an MRR chart or create a visual payments report, rather than only returning a list of transactions.

The MRR example separates movement into five categories. The payments prompt combines volume with success rates, failures, refunds and disputes. The final example narrows the analysis to one week and groups trends by payment method and dispute reason.

Stripe queries are free through 31 January 2027.

Builders using the APIs directly can place these queries inside their own reporting workflows. Those using Stripe MCP can give an agent access through the protocol and request the same types of analysis in natural language.

What is Stripe data analysis with your agent?

It is a way to let an AI agent analyse payment and revenue data using natural language requests. The agent can produce outputs such as MRR charts, quarterly payment reports, and dispute or refund breakdowns.

How do I connect an agent to Stripe data?

You can connect through Stripe MCP using the Model Context Protocol. You can also use the Queries and Reports APIs directly.

Is Stripe data analysis with your agent free?

Queries are free through 31 January 2027.