Agentization of Digital Assets for the Agentic Web: Concepts, Techniques, and Benchmark
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arXiv
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| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1866913006882914304 |
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| author | Chen, Linyao Huang, Bo Zhao, Qinlao Shao, Shuai Han, Zhi Cui, Zicai Zhang, Ziheng Zeng, Guangtao Tang, Wenzheng Wang, Yikun Zhou, Yuanjian Peng, Zimian Yu, Yong Liu, Weiwen Kobayashi, Hiroki Zhang, Weinan |
| author_facet | Chen, Linyao Huang, Bo Zhao, Qinlao Shao, Shuai Han, Zhi Cui, Zicai Zhang, Ziheng Zeng, Guangtao Tang, Wenzheng Wang, Yikun Zhou, Yuanjian Peng, Zimian Yu, Yong Liu, Weiwen Kobayashi, Hiroki Zhang, Weinan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_04226 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Agentization of Digital Assets for the Agentic Web: Concepts, Techniques, and Benchmark Chen, Linyao Huang, Bo Zhao, Qinlao Shao, Shuai Han, Zhi Cui, Zicai Zhang, Ziheng Zeng, Guangtao Tang, Wenzheng Wang, Yikun Zhou, Yuanjian Peng, Zimian Yu, Yong Liu, Weiwen Kobayashi, Hiroki Zhang, Weinan Multiagent Systems Artificial Intelligence 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. |
| title | Agentization of Digital Assets for the Agentic Web: Concepts, Techniques, and Benchmark |
| topic | Multiagent Systems Artificial Intelligence |
| url | https://arxiv.org/abs/2604.04226 |