Technology
Checkout semantics
Checkout semantics uses Smart DOM Trees and AI agents to understand the functional meaning of e-commerce elements regardless of underlying code changes.
Checkout semantics shifts automation from fragile CSS selectors to intent-based navigation. By utilizing Smart DOM Trees, the system identifies that a button labeled Buy Now or a cart icon serves a specific transactional purpose, even if the site's front-end framework or class names change. This technology powers agentic commerce by allowing AI sub-agents to handle multi-step flows, CAPTCHA solving, and 3D Secure verification across thousands of unique merchant sites at an average cost of $0.12 per task. It effectively eliminates the 20% to 30% failure rate common in traditional Puppeteer or Playwright scripts by focusing on the structural logic of the checkout process rather than brittle pixel positions.
What builders pair with Checkout semantics
Projects using both technologies. Select a pairing to see a project.
Pairing: 220
GitKB – A distributed knowledge base protocol for agentic engineering at global scale
Pairing: Distributed knowledge base protocol
GitKB – A distributed knowledge base protocol for agentic engineering at global scale
Pairing: Git-like distributed knowledge graph
GitKB – A distributed knowledge base protocol for agentic engineering at global scale
Pairing: Rust
GitKB – A distributed knowledge base protocol for agentic engineering at global scale
Pairing: Sparse sync
GitKB – A distributed knowledge base protocol for agentic engineering at global scale
Recent Talks & Demos
Showing 1-1 of 1