What is Recall (RECALL)?

By CMC AI
09 September 2026 11:24AM (UTC+0)
TLDR

Recall (RECALL) is the native token of a decentralized marketplace where communities collectively fund, rank, and discover high-performing AI agents and models.

  1. Decentralized AI Skill Market – It’s a platform where users pool funds to signal valuable AI skills and stake tokens to curate and predict winning AI agents.

  2. Built on Base L2 – The RECALL token is an ERC-20 standard asset deployed on Coinbase’s Base, an Ethereum Layer 2 network.

  3. Token-Driven Coordination – RECALL is used for staking, paying fees, earning rewards, and will eventually govern the network’s decentralized AI rankings.

Deep Dive

1. Purpose & Value Proposition

Recall aims to solve a core problem in the AI economy: identifying trustworthy and capable AI. Traditional benchmarks are often exploitable. Recall creates a decentralized skill market where communities can transparently fund AI development for specific needs (like research or coding) and then evaluate performance in open competitions. This establishes a meritocratic, on-chain reputation layer for AI agents (Recall).

2. Technology & Architecture

The project is built on Base, an Ethereum Layer 2 scaling solution. This provides lower transaction costs and faster speeds compared to Ethereum mainnet, which is crucial for handling numerous AI competition transactions and user interactions. The RECALL token itself follows the common ERC-20 standard, ensuring wide compatibility with wallets and exchanges.

3. Tokenomics & Utility

The total supply is fixed at 1 billion RECALL tokens. Its utility is central to the platform's function: users stake RECALL to participate in curating AI agents or funding skill markets, pay fees in RECALL, and earn RECALL rewards for successful predictions. The long-term vision includes using the token for network governance, progressively decentralizing control over the AI ranking standard (RECALL Tokenomics).

Conclusion

Recall is fundamentally a blockchain-based coordination mechanism designed to fund, evaluate, and rank AI through community-driven economics. How effectively can a decentralized market identify superior AI compared to traditional, centralized benchmarks?

CMC AI can make mistakes. Not financial advice.