Launching today
CartAI
The AI agent that handles checkout.
703 followers
The AI agent that handles checkout.
703 followers
Checkout is the hard part, and most solutions clear it only where the merchant has integrated. CartAI completes checkout on any live merchant surface with no merchant-side work, cooperating with bot detection instead of evading it. One developer-first API, four products: Catalog (search and live pricing across merchants), Checkouts (clear and track orders to confirmation), Payments (PCI off your stack via Visa and Mastercard agent rails), Monetization (commissions on every agent sale).
I like that checkout works without merchant integration. How do you handle unexpected checkout changes on different stores? Publishing success rates by merchant could build more confidence.
CartAI
@alheri_murya
Thanks! That's a great question.
Handling dynamic checkout experiences is one of the core challenges we're solving. CartAI continuously adapts to changes in merchant checkout flows through our automation and validation layer, allowing us to remain resilient even as storefronts evolve.
I completely agree on merchant-level success metrics. As the platform grows, we'd love to publish coverage and success rates to give developers better visibility and confidence.
Thanks for the thoughtful feedback!
Me value the simple API approach for developers. What monitoring tools are available after checkout starts? Real time alerts could help teams respond faster.
CartAI
@hana_salazars
Thanks!
Excellent developer experience has been one of our core priorities from day one.
Once a checkout is initiated, developers can track its lifecycle through our Webhooks, receiving real-time events for important state changes and integrating those into their own monitoring or automation workflows.
We also provide a portal where teams can monitor orders, inspect checkout status, and troubleshoot issues when needed.
We believe every team has different operational needs, so rather than locking developers into a predefined alerting system, CartAI gives them the building blocks to create monitoring and notification workflows that fit their own stack.
Native email and SMS alerting are already on our roadmap and will be rolling out soon, making it even easier for teams to stay informed without building custom notification workflows.
Really appreciate the suggestion—feedback like this helps us prioritize what developers need most. 🚀
I like the idea, but checkout is one place where I’d still want a clear approval step. What happens if the price changes, an item is substituted, or the final total is higher than expected? Does CartAI pause and ask before placing the order?
CartAI
@liana_preston We do render an expected total based on item cost, shipping costs and tax using our checkout estimates api https://www.cartai.ai/product/catalog#estimates
When the agent goes to place the order and if the price encountered is higher, we have an upper bound setting that our platform customers can set around how much drift they can tolerate. If set to 0% and if the actual is even 1 cent higher, agent will not complete the order.
CartAI
@liana_preston
That's a great point, Liana. We actually have a feature in our backlog called "Confirmation Required Purchase." If this is something more developers are looking for, we'd be happy to prioritize it.
For now, our model is what we call "Intervention-Free Purchase." It works by ensuring:
The customer gives explicit confirmation before the agent begins checkout.
That confirmation includes a spending grant with a maximum amount the agent is authorized to spend for that specific order.
If the final checkout amount exceeds that approved limit, the transaction simply fails—the agent cannot overspend.
This gives developers a predictable, auditable flow while ensuring every purchase stays within the consumer's approved spending limit.
It would help a lot if the Catalog API exposed a confidence score or freshness timestamp with each price result, so we can decide when to refetch before sending the user to checkout. Right now we have to guess whether a cached price is still good enough to trust.
CartAI
@esmasagtekin
Thanks for the thoughtful suggestion!
Our approach is slightly different from a traditional Catalog API.
In addition to serving product data, CartAI's Checkout Estimates API gives developers an understanding of the expected checkout outcome— such as pricing and other checkout signals — before initiating the actual purchase.
During checkout, we also validate the latest merchant data to ensure the transaction uses the most up-to-date information available.
That said, exposing explicit freshness metadata or confidence scores is an interesting idea, and we'll definitely consider it as we continue to evolve the platform.
Thanks for the valuable feedback! Love it!
Curious how this interacts with the other end of the subscription lifecycle - if an agent can complete a subscription checkout autonomously, does it also handle cancellation flows? We build the cancel-side equivalent (exit survey + save offer at the moment someone hits cancel), and an agent that blows straight through that without ever triggering it would be a genuinely new failure mode for subscription businesses to think about.
CartAI
@cancelkithq
That's a fascinating point, and I completely agree it's something the industry will need to think about.
Agentic commerce shouldn't bypass merchant workflows—it should respect them. The same principle applies to subscription lifecycles.
If merchants have retention flows, pause options, or save offers, AI agents should be able to understand and represent those options back to the user instead of blindly clicking "Cancel."
We believe agentic commerce isn't about removing merchant intent—it's about enabling AI to participate in commerce while preserving the experiences merchants have intentionally designed.
I think this will become an important conversation as agentic subscriptions evolve.
Congrats on the launch, really interesting product, and definitely needed. The interesting claim here isn't the automation, it's cooperating with bot detection via signed identity. That only holds if merchants actually want agent traffic. What happens when one signs your key and says no?
CartAI
@aidan_codefox
Thanks! That's a great question.
We believe Agentic Commerce should be built on merchant choice, not circumvention.
Signed agent identity and cooperative bot mitigation aren't about guaranteeing access—they're about allowing merchants to distinguish trusted AI agents from anonymous automation and make informed policy decisions.
If a merchant chooses not to allow agent-driven checkouts, CartAI respects that decision.
Merchants should always remain in control of how AI agents interact with their storefronts.
At the same time, consumer expectations are evolving. Customers increasingly want the freedom to shop from the AI experiences they trust—not just a merchant's website or app. We believe the future of consumer-centric commerce is about giving customers that choice while ensuring every interaction remains secure, authenticated, and transparent for merchants.
To make that possible, CartAI works alongside the broader trust ecosystem, including our security partners such as Akamai, Cloudflare, and HUMAN, as well as merchant-trusted fraud prevention and risk management platforms like Forter and others.
Rather than circumventing merchant controls, our goal is to integrate with the existing security, fraud, and trust infrastructure that merchants already use to protect their customers and their business.
We believe that's what will make Agentic Commerce truly scalable: consumer choice, merchant control, and a shared foundation of trust.
What does the API hand back when a checkout dies halfway, after the payment authorizes but before the merchant confirms? Signed agent identity and the PCI rails cover the happy path, and that half looks genuinely solved here, it's the money-moved-but-no-confirmation case where every agentic checkout story I've read goes quiet.
CartAI
@vollos
Great question. This is actually where Agentic Payments differ from traditional payment flows.
With models like Visa Intelligent Commerce (VIC) and Mastercard Agent Pay (MAP), the customer grants the AI agent permission to transact up to a predefined amount under specific constraints. The customer isn't charged upfront.
CartAI uses that grant (authorization) to complete the merchant's checkout journey. The actual transaction only occurs when the merchant successfully processes the order, just as it would on the merchant's own website.
Throughout the checkout lifecycle, CartAI continuously publishes order state changes via Webhooks, allowing developers to build custom workflows for retries, notifications, reconciliation, or any post-checkout automation if an issue occurs.
Combined with our self-healing checkout orchestration, this ensures developers have both visibility into every checkout state and the flexibility to respond programmatically whenever needed.
@kunalmestri9 The grant model dissolves most of it, if nothing settles until the merchant processes, the half-dead case shrinks to the auth hold itself. One loose end though: a merchant that never confirms leaves that pending amount sitting on the customer's card until something releases it. How fast does CartAI let go of the hold in that case?
CartAI
@vollos We never hold funds on the card as an authorization. The card is converted to an agentic token via Visa and Mastercard and entered directly on the merchant website at checkout. The flow is no different than if the consumer went to a website and placed a direct order.
@manil_uppal If the token gets entered directly on the merchant's site like a live card number, is it scoped to that one checkout, locked to the order amount and single-use, or could it be reused for a second charge if the merchant's system holds onto it after the sale?