CartAI icon

CartAI

CartAI is an agentic commerce platform for search, checkout, payment sessions, and attribution around user transactions. It helps developers and teams automate order completion on live merchant sites while tracking status through webhooks.

CartAI

Agentic commerce infrastructure for checkout and order completion

CartAI is an agentic commerce platform built to complete transactions on behalf of users. It provides APIs for product search, checkout, payment sessions, and monetization so teams can move from discovery to confirmation through a single transaction-oriented flow.

The product is aimed at workflows where a purchase, subscription sign-up, invoice payment, or order submission must actually clear. CartAI runs on the merchant's live site today and also describes support for commerce protocols as merchants expose them, with webhooks used to track the task through completion.

Core capabilities

Async checkout execution

Submit a checkout task with customer details, shipping information, selected items, and payment data or a payment session. The agent runs asynchronously and drives the merchant's live checkout flow through cart, address, payment, and confirmation.

Catalog, details, and estimates

Search across merchants, inspect product variants, and estimate totals before checkout. The catalog product returns ranked results, variant breakdowns, stock state, pricing, and checkout estimates from structured endpoints.

Hosted payment sessions

Use hosted payment sessions so card data stays out of your backend. The payment flow returns a session URL and sessionId, and checkout tasks can consume that sessionId after the customer authorizes payment.

Webhook tracking

Receive real-time lifecycle updates through webhooks. The checkout page documents state transitions such as QUEUED, STARTED, IN_PROGRESS, CONFIRMED, PLACED, and COMPLETED.

Multiple integration modes

Choose the delivery mode that matches your stack: direct API integration, an MCP server for model-driven checkout, or a hosted cart for surfaces that do not have checkout built in.

Built-in attribution support

Preserve attribution through monetization flows. The catalog pages note commissionUrl data, and the platform includes a monetization product for affiliate commissions and attribution.

Practical ways to use CartAI

  • Programmatic checkout for application backends

    Connect CartAI to a backend service that needs to place orders for users. The API accepts customer data, item details, and a payment session, then returns asynchronous task status and webhook events for follow-up actions.

  • Product discovery before checkout

    Build agents that search for products, inspect variants, and estimate costs before purchase. The catalog endpoints return ranked results, stock state, variant dimensions, and shipping-aware totals that can feed a purchase flow.

  • Embedded checkout on existing surfaces

    Embed a checkout experience on surfaces that never had one, such as a content site, portal, or embedded workflow. CartAI's hosted cart is described as a drop-in component or iframe with variant selection, address entry, payment, and confirmation built in.

  • Affiliate and attribution workflows

    Let a monetized surface capture commission when an agent buys through it. The platform includes monetization and attribution support so affiliate-style workflows can preserve revenue attribution through the sale.

  • Complex order submission across merchants

    Handle multi-item or multi-merchant transactions where the task can span several SKUs and multiple retailers. The checkout page explicitly supports one task carrying multiple SKUs across multiple merchants, with one agent per merchant when needed.

Pros and Cons

Pros

  • Combines catalog search, checkout execution, payment sessions, and monetization around the same transaction flow.
  • Supports asynchronous checkout with webhook-based status tracking, which fits backend and agent workflows.
  • Offers structured endpoints with live product data, variant inspection, and pre-checkout total estimates.
  • Provides a hosted payment UI so card data does not pass through the merchant backend.

Cons

  • Public pricing is not shown on the site, and the pricing page link currently resolves to a not-found page.
  • Some surfaced capabilities are explicitly marked as coming soon, including the hosted cart and American Express support.
  • The source emphasizes checkout flows and related commerce tasks rather than broad browser automation beyond transactional use cases.

FAQ

How does CartAI fit into an existing backend or agent workflow?

CartAI provides an API-first flow. You create a checkout task or payment session server-side, pass in customer and item data, and then receive asynchronous status updates through webhooks as the agent moves through the merchant flow.

What ways can teams ship CartAI?

The site shows three delivery modes: the CartAI API, an MCP server for MCP hosts such as Claude Desktop, Code, Cursor, and VS Code, and a hosted cart that can be embedded as a drop-in component or iframe.

What workflows does CartAI cover?

CartAI supports checkout tasks that can span multiple SKUs and even multiple merchants. The product pages also describe separate catalog, checkout, payments, and monetization modules around the same transaction primitive.

How much does CartAI cost?

The source materials do not show public pricing on the site. The pricing link currently resolves to a not-found page, so pricing should be treated as undisclosed on the public site.

Are there any known limitations?

CartAI is designed for transactional flows that need to clear on the merchant's own site or through supported commerce protocols. The source does not claim support for every merchant or every payment method, and some items such as the hosted cart and American Express support are marked as coming soon.

Quick Facts

Category
Agentic commerce platform
Primary users
Developers and teams building transactional agents
Delivery modes
API, MCP server, hosted cart
Source domain
cartai.ai
Workflow focus
Checkout, payments, catalog search, and monetization
Pricing
Not publicly listed on the site

CartAI 대안

ByteAsk icon

ByteAsk

ByteAsk is a terminal-first AI coding agent for C and C++ that edits repositories and verifies changes with the real compiler, debugger, sanitizers, and tests before showing a diff. It offers a free tier plus paid plans, with editor connectors and zero-retention handling described in the source.

Lasso icon

Lasso

Lasso is an ecommerce product data platform for enriching catalog records, processing supplier files, generating product content, and monitoring competitors. It combines a web app with a REST API, SDK, and MCP server for teams and developers.

CreateOS Sandbox icon

CreateOS Sandbox

CreateOS Sandbox is an isolated compute environment for running code and agent workloads inside Firecracker micro-VMs. It is designed for workflows that need machine-level isolation, private networking between sandboxes, and programmatic control through SDK, CLI, or MCP.

DailyPlay.ai icon

DailyPlay.ai

DailyPlay.ai is a behavioral growth platform that uses AI site scanning and micro-games to help brands improve engagement and conversion. It supports web, mobile, and other digital touchpoints, with a one-line script setup and a free engagement scan.

hob icon

hob

hob is an independent workspace for coding agents that keeps agent sessions, terminals, history, and follow-up work organized around the tools and providers you already use. It is aimed at developers who want local control over routing, history, and workspace structure rather than a bundled model stack.

Manta AI icon

Manta AI

Manta AI is an autonomous web app testing tool for teams that want to map application behavior, catch regressions, and generate tests without writing scripts or maintaining selectors. It works from a URL and supports plain-English test flows, run results with screenshots, and scheduled or deployment-triggered checks.