WebAZ has introduced a public contribution interface that lets humans and AI agents discover bounded tasks, inspect their boundaries, and submit structured suggestions before committing to code access…
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 …