Observed arrival · 2026-11-08
Checkout Bench tests whether AI agents can finish a purchase
A platform for testing how AI agents navigate retailer checkouts, with runs that track progress from store entry to a ready-to-place order.
○Open
⊠Login
$Paid
†Ads
✦Pretty
●Pro
◎Niche
◉Human
⚑Risk
ƒJS
- For
- Retailers evaluating AI shopping agents
- Worth noticing
- The sample interface timestamps checkout stages, from browser readiness to a quoted order, and shows where an agent needs user input.
Field notes
The sample task specifies a 2 m USB-C cable and a $30 spending cap, then displays a sequence of events such as search results, adding to cart, and reading checkout details. A separate interface example depicts a user-choice pause when two colors match. The page says teams can inspect network traces to hundredths of a second, though the extract does not clarify whether the displayed runs are live or simulated.
Observed signals
Read the marks
Editorial observations of this landing page, not a rating.
○OpenPublic substance visible
✦PrettyNotable craft visible
●ProPolished or operationally mature
◎NicheUnusually specific use
One card from the complete issue