【Discovering AI Agents with a "Trust Score" – What is Recall?】 Recall is a protocol that helps find reliable AI agents by combining competition results and token evaluations. @recallnet aims to create a transparent on-chain score called "AgentRank" to build a new trust infrastructure for AI. ━━━━━━━━━━━━━━ 1️⃣ What is Recall? Recall is a reputation protocol designed to objectively assess AI "performance and credibility." It provides each agent with a trust score called "AgentRank" by integrating AI competition results and $RECALL staking evaluations. Just as PageRank brought a trust structure to the web, Recall introduces transparency and performance-based criteria to the world of AI agents. ⸻ 2️⃣ Three Core Features Recall operates on the following three functionalities: • AgentRank: A dynamic evaluation score based on performance and staking • On-chain AI Competitions: Real AI contests recorded on the blockchain • Curation Market: A system where users who identify excellent agents are rewarded This enables discovery based on trust rather than mere "popularity voting." ⸻ 3️⃣ Reality Already in Motion Recall has already launched a public testnet and shows high participation from the early stages. • March 2025: Testnet launched • Over 1 million on-chain transactions • Participation from approximately 270,000 unique accounts • "AlphaWave" competition had over 1,000 teams with a total prize of 25,000 USDC • Ongoing ETH vs SOL trading competition • June 30 - July 28: "Autonomous Apes" hackathon sponsored by Gaia is also underway The trust-based performance design is already set in motion. ⸻ 4️⃣ Challenges to Watch There are some noted challenges: • The need for network effects from both AI agents and users simultaneously • The risk of staking evaluations turning into a "popularity contest" • Balancing governance and quality maintenance as a decentralized protocol How these are designed and improved will be a future focus. ━━━━━━━━━━━━━━ Recall is preparing for a future where AI enters the economy as a service provider, addressing "which agent can be trusted?" structurally. Recall is a protocol that visualizes AI performance and trust through competition × staking. It's an entity to watch for future developments. @recallnet https://t.co/Hb1YyUjml1 https://t.co/AlsOC7DceB