This topic examines the intersection of domain-name marketplaces and decentralized identity for autonomous AI agents: how human-readable, blockchain-backed names (.openx, Unstoppable Domains and alternatives) are being used as persistent identifiers for bots, agents and AI services, and how decentralized AI infrastructure projects are integrating on‑chain identity, staking and reputation. It’s timely because enterprises and open-source projects are pushing both centralized (e.g., integrated assistants) and decentralized approaches to identity, while industry shifts and acquisitions are changing service continuity and trust. Key tools and examples: Unstoppable Domains and new TLDs such as .openx represent marketplace approaches that sell on‑chain, wallet‑linked names; ENS and W3C DIDs remain widely used technical alternatives for verifiable identifiers. Tensorplex Labs illustrates an open-source, blockchain-integrated model stack that ties model development, staking and reputation to on‑chain identities and DeFi primitives. By contrast, Microsoft 365 Copilot exemplifies centralized, account‑based AI identity tied to enterprise services. Shape AI’s June 2025 acquisition and subsequent product closure highlight operational risks when identity providers are consolidated or shuttered. Why this matters now: autonomous agents increasingly need persistent, portable identifiers for discovery, access control and auditability; on‑chain names and verifiable credentials address those needs but raise questions about interoperability, governance, privacy and longevity. Practical considerations include how marketplaces manage revocation, cross‑chain resolution, custody of private keys, and whether reputation/staking can meaningfully represent model trustworthiness. Comparing .openx vs. Unstoppable Domains and other alternatives helps stakeholders evaluate trade‑offs between decentralization, enterprise integration, and service resilience when assigning identities to autonomous AI systems.