Stripe's expanding AI surface area, including conversational Sigma queries, automated revenue recognition, and embedded LLM dashboards in third-party tools, tha
Stripe's AI layer turns payments into intelligence: ML-driven fraud (Radar), revenue optimization, Sigma assistant for natural-language revenue queries, and agent toolkits that let AI systems transact safely, the financial substrate for AI-era products, including usage-based AI billing itself.
Pricing: Core processing fees plus per-feature pricing (Radar, Billing, Sigma): usage-based throughout (published pricing, mid-2026).
Metered billing and credit-burndown patterns are first-class: report usage events, Stripe handles proration, thresholds, and invoicing, the standard stack for token-based pricing.
SDKs/MCP surfaces that let AI agents create payments, manage subscriptions, and query revenue under scoped permissions: making 'agent commerce' auditable rather than improvised.