Agentization of Digital Assets for the Agentic Web: Concepts, Techniques, and Benchmark

• URL: http://arxiv.org/abs/2604.04226v1
• Date: Sun, 05 Apr 2026 19:01:27 GMT
• Title: Agentization of Digital Assets for the Agentic Web: Concepts, Techniques, and Benchmark
• Abstract summary: We develop an Agentization Agent to agentize digital assets for the Agentic Web.<n>Our experiments demonstrate that our approach effectively activates the functional capabilities of digital assets.<n>We believe this work will further facilitate scalable and standardized integration of digital assets into the Agentic Web ecosystem.
• Score: 38.52339688196343
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Agentic Web, as a new paradigm that redefines the internet through autonomous, goal-driven interactions, plays an important role in group intelligence. As the foundational semantic primitives of the Agentic Web, digital assets encapsulate interactive web elements into agents, which expand the capacities and coverage of agents in agentic web. The lack of automated methodologies for agent generation limits the wider usage of digital assets and the advancement of the Agentic Web. In this paper, we first formalize these challenges by strictly defining the A2A-Agentization process, decomposing it into critical stages and identifying key technical hurdles on top of the A2A protocol. Based on this framework, we develop an Agentization Agent to agentize digital assets for the Agentic Web. To rigorously evaluate this capability, we propose A2A-Agentization Bench, the first benchmark explicitly designed to evaluate agentization quality in terms of fidelity and interoperability. Our experiments demonstrate that our approach effectively activates the functional capabilities of digital assets and enables interoperable A2A multi-agent collaboration. We believe this work will further facilitate scalable and standardized integration of digital assets into the Agentic Web ecosystem.

Related papers

• Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On [37.45330451512762]
  A2A networks offer better task performance compared to simply using one agent to complete the entire task.<n>We argue that the trustworthiness of A2A networks cannot be fully guaranteed via retrofitting on existing protocols that are largely designed for individual agents.<n>We present a comprehensive conceptual framework that situates trust in A2A systems through four design pillars.
  arXiv  Detail & Related papers  (2026-05-18T18:57:54Z)
• Infrastructure for the Agentic Web: Gap Analysis and Architecture from the Agentverse Platform [0.0]
  We conduct an empirical audit of the Agentverse platform and characterise what is operational, partially deployed, or absent.<n>We propose a seven-layer Agent Cloud Stack -- a reference architecture for what a fully realised agent-native cloud should provide by 2030.
  arXiv  Detail & Related papers  (2026-04-26T09:26:57Z)
• Hybrid Stackelberg Game and Diffusion-based Auction for Two-tier Agentic AI Task Offloading in Internet of Agents [70.6356929970175]
  The Internet of Agents (IoA) is a foundational architecture for interconnected intelligent systems.<n>IoA involves physical entities, i.e., Wireless Agents (WAs) with limited onboard resources, which need to offload their compute-intensive agentic AI services to nearby servers.<n>We propose a two-tier optimization approach to facilitate task offloading.
  arXiv  Detail & Related papers  (2025-11-27T03:55:18Z)
• AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications [95.42093979627703]
  AgentScope supports flexible and efficient tool-based agent-environment interactions.<n>We ground agent behaviors in the ReAct paradigm and offer advanced agent-level infrastructure.<n>AgentScope also includes robust engineering support for developer-friendly experiences.
  arXiv  Detail & Related papers  (2025-08-22T10:35:56Z)
• Agentic Web: Weaving the Next Web with AI Agents [109.13815627467514]
  The emergence of AI agents powered by large language models (LLMs) marks a pivotal shift toward the Agentic Web.<n>In this paradigm, agents interact directly with one another to plan, coordinate, and execute complex tasks on behalf of users.<n>We present a structured framework for understanding and building the Agentic Web.
  arXiv  Detail & Related papers  (2025-07-28T17:58:12Z)
• Agent-as-a-Judge: Evaluate Agents with Agents [61.33974108405561]
  We introduce the Agent-as-a-Judge framework, wherein agentic systems are used to evaluate agentic systems. This is an organic extension of the LLM-as-a-Judge framework, incorporating agentic features that enable intermediate feedback for the entire task-solving process. We present DevAI, a new benchmark of 55 realistic automated AI development tasks.
  arXiv  Detail & Related papers  (2024-10-14T17:57:02Z)
• Multimodal Auto Validation For Self-Refinement in Web Agents [0.5843533603338313]
  This paper introduces an approach to improving web agent performance through multi-modal validation and self-refinement. We present a comprehensive study of different modalities (text, vision) and the effect of hierarchy for the automatic validation of web agents. We also introduce a self-refinement mechanism for web automation, using the developed auto-validator, that enables web agents to detect and self-correct workflow failures.
  arXiv  Detail & Related papers  (2024-10-01T13:43:55Z)
• Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems [1.079505444748609]
  We present our work on building a novel web agent, Agent-E. Agent-E introduces numerous architectural improvements over prior state-of-the-art web agents. We show that Agent-E beats other SOTA text and multi-modal web agents on this benchmark in most categories by 10-30%.
  arXiv  Detail & Related papers  (2024-07-17T21:44:28Z)
• Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence [79.5316642687565]
  Existing multi-agent frameworks often struggle with integrating diverse capable third-party agents. We propose the Internet of Agents (IoA), a novel framework that addresses these limitations. IoA introduces an agent integration protocol, an instant-messaging-like architecture design, and dynamic mechanisms for agent teaming and conversation flow control.
  arXiv  Detail & Related papers  (2024-07-09T17:33:24Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.