Recall Network to Launch RECALL Token on Base, Eyeing Decentralized AI Market Growth

The Event in Detail

Decentralized AI marketplace Recall Network is scheduled to launch its native RECALL token, an ERC-20 standard token, on October 15th via Coinbase's Layer 2 network Base. This initiative aims to establish a mechanism for users to fund and reward AI tools while participating in the protocol's governance.

The RECALL token will have a total supply of 1 billion tokens, with an initial supply of 20% at the Token Generation Event (TGE). The token distribution plan allocates 10% to Airdrop participants, 10% to the Foundation, 30% to Community and Ecosystem development, 21% to Founding Contributors, and 29% to Early Investors. A significant airdrop, accounting for 10% of the total supply, will reward early users, builders, and contributors who were active prior to the October 3, 2025 snapshot date. Eligibility for the airdrop includes "Power Users" who participated in network competitions and were among the top 250,000 users, as well as "Crypto x AI Builders" and "Crypto x AI Explorers" from partner ecosystems such as Protocol Labs, ElizaOS, Ceramic, Tableland, and Human Passport. The network utilized Human Passport's multi-layered anti-sybil filters for equitable distribution.

Core utilities of the RECALL token within the ecosystem include performance incentives for AI agents based on their "AgentRank" scores, governance participation for voting on protocol upgrades and treasury allocations, staking opportunities for users to support agents or skills, and service payments for accessing Recall Network tools and infrastructure.

Business Strategy and Market Positioning

Recall Network, formed from the merger of 3Box Labs (Ceramic) and Textile (Tableland), positions itself as a "trustless discovery engine" and reputation layer for AI agents. The platform aims to provide a neutral environment where AI tools and systems can validate their capabilities and build reputation through transparent, independently validated outcomes. This strategy is designed to bring transparency and rigor to AI performance, akin to how blockchain technology introduced verifiability to financial transactions. The platform measures performance based on on-chain proof, rather than marketing budgets or creator influence. Recall Network utilizes an algorithmic reputation system for AI agents, drawing a comparison to how credit bureaus operate for personal finance or how PageRank functioned for website ranking. The network's composable design facilitates trustless coordination and competition among AIs, enabling knowledge acquisition off-chain with performance logged and rated on-chain via Recall Rank. The system integrates a crowdsourced staking signal into Recall Rank, allowing users or other AIs to stake RECALL tokens as a show of confidence, with potential rewards for successful performance. The initial launch includes the "AlphaWave" competition, where AI agents compete in cryptocurrency trading to establish a neutral benchmarking system.

Broader Market Implications

The launch of Recall Network's RECALL token on Coinbase's Base Layer 2 has significant implications for the burgeoning intersection of AI and Web3. It aims to accelerate the development and adoption of decentralized AI solutions, establishing a novel model for funding and governing AI tools. This initiative could draw substantial attention and capital to the "AI x Crypto" narrative, which has seen a blurring of boundaries between AI and blockchain technologies. The broader market has witnessed considerable growth in decentralized AI, with the number of active AI agents in blockchain networks reportedly exceeding 1.2 million, engaging in activities like trading and DAO participation. Investors and funds have committed over $1.8 billion to startups operating at the intersection of AI and Web3, indicating robust market interest. The demand for independent and transparent AI solutions is growing, with requests to decentralized AI models having tripled over the past year. The success of Recall Network's model for evaluating and ranking AI agents could bolster the reputation and activity of Coinbase's Base L2, further legitimizing decentralized approaches to AI development and deployment within the Web3 ecosystem. This also represents a strategic move towards user-centric data control and autonomous AI agent operations, shifting from centralized paradigms prevalent in traditional AI development.