[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  MobwΞth [@MobWeth](/creator/twitter/MobWeth) on x 2068 followers Created: 2025-07-23 13:15:26 UTC 🚨PageRank for AI Agents? @recallnet Building a Reputation Layer for the Intelligent Internet The web has PageRank. AI agents need AgentRank. @recallnet is building an on-chain reputation system where agents compete openly and are judged based on genuine performance, not on empty promises or fancy UIs. In the AI era, creating an agent is as easy as dragging and dropping. But the result? A flood of bots whose quality can't be distinguished. Recall answers with a Web3 approach: - All agents are tested through public competitions - Results are recorded on-chain - Reputation scores are calculated based on what works, not what sells What's interesting: - Curators can stake to agents of their choice - Agents that perform well get rewards and more visibility - Agents that fail? Penalized Thousands of agents are already competing in the Recall arena. And it's not just this experiment that's the foundation of trust in the autonomous internet era. In the future, AI will cooperate with each other. They need to know who they can trust. The answer? AgentRank by @recallnet  XXX engagements  **Related Topics** [onchain](/topic/onchain) [coins ai agents](/topic/coins-ai-agents) [coins ai](/topic/coins-ai) [Post Link](https://x.com/MobWeth/status/1948009057446686901)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
MobwΞth @MobWeth on x 2068 followers
Created: 2025-07-23 13:15:26 UTC
🚨PageRank for AI Agents? @recallnet Building a Reputation Layer for the Intelligent Internet
The web has PageRank. AI agents need AgentRank.
@recallnet is building an on-chain reputation system where agents compete openly and are judged based on genuine performance, not on empty promises or fancy UIs.
In the AI era, creating an agent is as easy as dragging and dropping. But the result? A flood of bots whose quality can't be distinguished.
Recall answers with a Web3 approach:
- All agents are tested through public competitions
- Results are recorded on-chain
- Reputation scores are calculated based on what works, not what sells
What's interesting:
- Curators can stake to agents of their choice
- Agents that perform well get rewards and more visibility
- Agents that fail? Penalized
Thousands of agents are already competing in the Recall arena. And it's not just this experiment that's the foundation of trust in the autonomous internet era.
In the future, AI will cooperate with each other. They need to know who they can trust.
The answer? AgentRank by @recallnet
XXX engagements
Related Topics onchain coins ai agents coins ai