CartAI

Checkout flows that look simple in isolation break constantly in production — variant selection fails, 3DS redirects time out, login-gated portals reject automation mid-flow. CartAI addresses this with a single POST endpoint that accepts a task definition (target URL, product variant, shipping profile, payment profile) and returns a task ID immediately, running execution asynchronously. Completion, failure, and retry signals arrive via webhook, so your application stays responsive while the agent works through the transaction. The code examples in the docs show a TypeScript-first integration pattern with a bearer-token auth model and a sandbox flag for testing without live payment execution.

The differentiation CartAI makes is architectural: it fuses AI-driven browser execution with a PCI-compliant payment stack — card intake, vaulting, and what the vendor describes as agentic payment protocols — into a single primitive. General-purpose browser automation tools treat transactional reliability as one use case among many; dedicated agentic payment rails handle identity and trust but require a separate execution layer to navigate to the payment page. CartAI is built to own the gap between those two categories, where both navigation and payment clearance have to succeed together.

CartAI fits tightly into AI-native commerce products: recommendation engines that need to execute a purchase, subscription platforms automating invoice collection, procurement tools submitting orders into vendor portals. It does not fit workflows where the goal is anything other than a cleared transaction — scraping, research, or form-filling without a payment step are explicitly outside its stated scope. The self-hosted option does not exist; execution runs on CartAI’s infrastructure, which means your payment profiles and customer data pass through their stack. Teams with strict data residency requirements will need to evaluate that boundary before integrating.