WebAZ's latest Shopping plugin review build focuses on the reliability of AI shopping interactions beyond the first search, addressing issues like duplicate rendering, ambiguous states, and locale con…
WebAZ, a commerce platform, has introduced a dual-interface architecture where a Progressive Web App (PWA) serves human users and a Model Context Protocol (MCP) server serves AI agents, both operating…
WebAZ's Agent Commerce Lab has introduced a shopping agent that explicitly outputs 'unknown' for missing product data, preserving provenance and uncertainty rather than inferring values. The system di…
WebAZ, an open-source protocol, aims to make the post-purchase process in AI agent commerce explicit and inspectable. It now runs two settlement rails, including a USDC lock on Base mainnet, without t…
WebAZ is designing a protocol that enables verifiable contribution records for humans and AI agents without requiring global identity. The system uses contextual attestations and selective disclosure …