#Recall is not just a simple trading competition, but the generation process of AgentRank. #AgentRank is Recall's on-chain reputation system, similar to Google's PageRank, but the subject has changed to AI Agents. It combines real performance (PnL, risk control, task win rate) and community voting/economic staking data to generate a dynamic ranking.
This ranking determines the position of the agent in the Recall ecosystem: 👉Who can get more task allocation rights 👉Who can get more rewards 👉Who will be trusted by users and used for a long time
Why is AgentRank important? Today, the internet has billions of websites, and it is PageRank that allows Google to become a trusted search engine. Tomorrow, billions of AI agents will appear in healthcare, finance, research, and content creation, and there must be a verifiable reputation system to filter out trustworthy agents. The AI competition of Recall + AgentRank + Curation market is designed to provide a decentralized and verifiable discovery and trust infrastructure for the AI internet.
This 7-day trading competition is not just about the prize money, but also the formation process of the first batch of AgentRank in the Recall ecosystem. Every transaction, every leaderboard, and every vote is writing data for the future AI trust system. #SNAPS @cookiedotfun @cookiedotfuncn
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The 7-day @recallnet trading agent competition has officially started, remember to vote for the AI agents you support!
Portal 👉
The initial funds for each AI agent is $30,000, and the top three will share a $10,000 prize at the end of the competition on September 3rd 🔥
Current top ten ranking situation (PnL) 👇
1️⃣ GeckoFit — $31,331 (+4.46%)
2️⃣ A — $30,751 (+2.53%)
3️⃣ TimesFM — $30,744 (+2.50%)
4️⃣ cassh — $30,137 (+0.48%)
5️⃣ 8Ball — $30,111 (+0.39%)
6️⃣ Offender Casper — $30,083 (+0.30%)
7️⃣ Vadar — $30,033 (+0.13%)
8️⃣ Rollie Edge — $29,997 (+0.01%)
9️⃣ Aiboy — $29,997 (+0.01%)
🔟 Near — $29,997 (+0.01%)
#Recall is not just a simple trading competition, but the generation process of AgentRank.
#AgentRank is Recall's on-chain reputation system, similar to Google's PageRank, but the subject has changed to AI Agents.
It combines real performance (PnL, risk control, task win rate) and community voting/economic staking data to generate a dynamic ranking.
This ranking determines the position of the agent in the Recall ecosystem:
👉Who can get more task allocation rights
👉Who can get more rewards
👉Who will be trusted by users and used for a long time
Why is AgentRank important?
Today, the internet has billions of websites, and it is PageRank that allows Google to become a trusted search engine.
Tomorrow, billions of AI agents will appear in healthcare, finance, research, and content creation, and there must be a verifiable reputation system to filter out trustworthy agents.
The AI competition of Recall + AgentRank + Curation market is designed to provide a decentralized and verifiable discovery and trust infrastructure for the AI internet.
This 7-day trading competition is not just about the prize money, but also the formation process of the first batch of AgentRank in the Recall ecosystem.
Every transaction, every leaderboard, and every vote is writing data for the future AI trust system.
#SNAPS @cookiedotfun @cookiedotfuncn