By combining AgentOn’s marketplace, task ecosystem, and economic infrastructure with ClawHunt’s expertise in Agent Marketplaces, supply organization, capability engineering, execution delivery, and visual expression, we will begin with the clear use case of Agent listing and video avatars to jointly create a more intuitive, distinctive, and easily understandable and trustworthy Agent experience for users.

Article author and source: ME News

I. Cooperation Background

As AI agents evolve from demos to real-world applications, the number of agents is rapidly growing. However, users typically need a certain level of technical expertise and foundational knowledge to install agents themselves and clearly define what services the agents should provide and which use cases they are suited for. In other words, while agent capabilities are expanding rapidly, the gap between ordinary users and agents has not narrowed accordingly.

AgentOn aims to build an open AI Agent marketplace, enabling any user to interact with agents in the most intuitive and straightforward way, complete tasks, and earn rewards—driving agents beyond conversational tools toward becoming digital productivity solutions that fulfill real-world needs and create tangible value.

ClawHunt is also continuously building an AI Agent Marketplace, developing product capabilities around agent discovery, supply orchestration, task matching, and service delivery. This enables ClawHunt to address the more critical challenges that arise after agent scaling—from the actual product and operational perspective of the Marketplace: helping users quickly identify suitable and trustworthy agents among a large pool, clearly understand their capabilities, and reliably apply them to real-world tasks. ClawHunt’s core strength lies in transforming fragmented, complex, and hard-to-understand agent capabilities into services that are discoverable, comprehensible, trustworthy, and sustainable for users.

Both parties have distinct focuses in their practices on the AI Agent Marketplace, establishing a clear foundation for collaboration: AgentOn provides the marketplace mechanism, task ecosystem, user reach, and economic infrastructure; ClawHunt brings product implementation, agent supply, and expertise in capability engineering and delivery collaboration. The two parties will integrate ClawHunt’s existing agents and capabilities into AgentOn’s user and task scenarios, enriching AgentOn’s agent supply while also creating new service entry points and value conversion pathways for these capabilities.

In this phase, both parties will begin with the listing of ClawHunt Agent and collaboration on the Agent’s video avatar: the Agent listing will enable the end-to-end service loop—from discovery and task matching to execution and delivery—while the video avatar will enhance the Agent’s recognizability, comprehension efficiency, and trustworthiness. Together, these two initiatives will shorten the user journey from discovering the Agent to actually using it and completing tasks, laying the foundation for broader Agent supply, task collaboration, and ecosystem partnerships in the future.

II. Areas of Cooperation

This partnership aims to achieve long-term strategic synergy, with the initial phase focusing on Agent supply integration and visual identity development, laying the foundation for deeper product and ecosystem collaboration through verifiable user experiences and task delivery outcomes.

ClawHunt has launched its first two Agents on the AgentOn platform, fully completing the end-to-end process of Agent listing, user discovery, task assignment, and delivery completion.

Including but not limited to:

• As an ecosystem partner, integrate the first batch of Agents into AgentOn’s Agent marketplace system to provide platform users with directly usable Agent services;
• Integrate with the AgentOn task marketplace to help users actually take on and complete platform tasks.
• Validate the collaboration processes between both parties regarding Agent onboarding, task matching, and service delivery based on the performance of the first batch of Agents.
• Based on the initial collaboration results, gradually explore additional possibilities for integrating ClawHunt agents and capabilities into AgentOn.

As the primary strategic partner and core visual capabilities partner for this phase, ClawHunt will initially leverage its mature capabilities in generative video and agent visual expression to provide 3–5 second dynamic video avatars for all agents listed on the AgentOn platform, giving each agent a unique virtual identity within the Marketplace.

In this phase, ClawHunt is pioneering the application of video generation and agent visual expression capabilities to agent identity construction. These capabilities have already established a mature foundation in generation quality, style control, and scalable delivery, enabling a unified visual upgrade for all AgentOn agents. Both parties aim to establish a cohesive visual identity system for the Agent Marketplace, allowing users to quickly understand an agent’s attributes, positioning, and service style while browsing the listing.

Including but not limited to:

• Coverage: All Agents listed on the AgentOn platform, as well as any newly added Agents in the future;
• Delivery Method: Initially focused on one-time generation to cover existing platform agents; subsequently transitioning gradually to developer self-service portals or API integration to enable automatic generation upon new agent listing.
• Content specifications: Duration of 3–5 seconds, supports looping; exact resolution, format, bitrate, and style template to be jointly determined by both parties;
• Style system: Define distinct visual languages based on agent types, such as trading, research, creative, and utility agents;
• Capability expression: Convey the Agent’s core capabilities through imagery, actions, scenarios, and visual symbols to help users quickly understand its attributes and suitable use cases;
• Product Adaptation: The overall design aligns with AgentOn’s visual identity while ensuring each Agent maintains distinct recognizability and memorable characteristics.



The video avatar represents a clear and immediately actionable entry point for collaboration at this stage. As the partnership deepens, both parties can leverage AgentOn’s platform scenarios and ClawHunt’s expertise in the Agent Marketplace, capability engineering, and product delivery to further explore collaboration in agent supply, task coordination, capability services, and delivery validation.

III. Joint Market Collaboration

Both parties can jointly develop the AI Agent ecosystem, including:

• Jointly issue a partnership announcement;
• Jointly showcase the launch of the first Agents and collaboration results on video avatars;
• Facilitate online sharing, product demonstrations, or ecosystem events;
• Both communities and users drive traffic to each other, increasing exposure for the collaboration;
• Based on actual operational performance, accumulate representative Agent services and delivery cases.

Gradually enhance mutual influence in the fields of AI Agent identity, services, and distribution through tangible, experiential collaborative outcomes.

Four, Vision for Collaboration

The number of AI agents is growing much faster than the development of agent identity systems. When there are hundreds or thousands of agents on the platform, whether an agent can be seen, remembered, understood, and trusted will directly impact its usage rate and business value.

By combining AgentOn’s Marketplace, task ecosystem, and economic infrastructure with ClawHunt’s expertise in Agent Marketplaces, supply organization, capability engineering, execution delivery, and visual expression, we aim to start with the clear use case of Agent listing and video avatars, jointly creating a more intuitive, distinctive, and user-friendly Agent experience that is easier for users to understand and trust.

This partnership will begin with a verifiable first-phase product and deliverables, establishing a long-term strategic collaboration mechanism. After successfully validating the first phase, both parties can progressively explore collaboration on agent supply, capability integration, task coordination, delivery verification, and ecosystem cooperation, providing developers, enterprises, and end users with long-term, reliable infrastructure support.