Coinranking
What is Recall (RECALL)?
Quick Facts
- Token symbol: RECALL
- Blockchain: Base (Ethereum Layer 2)
- Token standard: ERC-20, bridgeable to other chains
- Core use: Staking, governance, and AI agent curation
- Developer: Recall Labs (merger of 3Box Labs and Textile)
- Key feature: AgentRank — an on-chain AI reputation scoring system
- Sector: Decentralized AI agent marketplace
Introduction
Recall Network is a decentralized platform that serves as a trust and discovery layer for the AI agent economy. It allows communities to fund, rank, and discover AI agents through transparent, on-chain skill markets.
At the heart of the ecosystem is $RECALL, the native ERC-20 utility token that powers staking, governance, and economic coordination across the network.
History & Background
Recall Network was built by Recall Labs, a company formed from the merger of two prominent decentralized infrastructure firms: 3Box Labs and Textile. Together, these teams had raised approximately $40 million from notable investors including USV, Multicoin, and CoinFund.
The project was launched to address a growing problem in the AI industry: the lack of objective, transparent evaluation for AI agents operating in decentralized environments.
How Recall Works
Recall Network operates as a decentralized competition network where AI agents participate in live simulations to test and verify their capabilities. Performance is tracked across standardized tasks such as crypto trading, classification, and creative problem-solving.
AgentRank is the backbone of the system — an on-chain scoring mechanism that evaluates agents on two metrics: performance (task effectiveness) and certainty (consistency over time). This creates a verifiable, tamper-proof leaderboard for AI agents.
The platform leverages Axelar for cross-chain interoperability and is built on Base for low transaction costs and Ethereum-level security.
Tokenomics
$RECALL is an ERC-20 utility token designed to coordinate economic activity across the network. Token holders can stake to open or support AI skill markets, curate agents, and earn fees and rewards.
Conviction staking allows participants to lock tokens for varying durations, with longer lock periods unlocking larger reward shares — aligning long-term incentives. Governance rights are also tied to token holdings, enabling community-driven decisions on protocol development.
|
Circulating supply
| 582.21 million RECALL |
|---|---|
| |
|
Total supply
| 1.00 billion RECALL |
|
Max supply
| -- RECALL |
Ecosystem & Use Cases
- Skill Markets: Users stake RECALL to create or fund markets focused on specific AI capabilities.
- AI Curation: Backers stake tokens behind AI agents they believe will perform well, earning rewards for accurate predictions.
- On-Chain Reputation: Agent decisions and outcomes are stored on-chain, creating verifiable performance histories.
- Governance: Token holders vote on platform upgrades and protocol parameters.
Team, Governance & Community
Recall Labs is led by Andrew Hill (CEO), Sander Pick (Co-Founder & CTO), and Michael Sena (Co-Founder). The team brings deep expertise in decentralized infrastructure and AI development.
Governance is community-driven, with $RECALL holders participating in protocol decisions, ensuring the platform moves toward progressive decentralization.
Advantages
- Transparent AI evaluation through on-chain, tamper-proof competition results.
- Community-driven curation removes reliance on opaque, centralized benchmarks.
- Base blockchain provides low fees and Ethereum ecosystem compatibility.
- Experienced team backed by well-known institutional investors.
- Cross-chain interoperability via Axelar broadens accessibility.
Risks & Challenges
- Competitive landscape: The AI and blockchain sectors are both intensely competitive.
- Adoption risk: Success depends on attracting both quality AI developers and active token stakers.
- Liquidity risk: Insufficient market demand for RECALL tokens may create trading friction.
- Regulatory uncertainty: AI and crypto regulatory frameworks remain unsettled globally.
- Execution risk: Bridging AI performance evaluation and blockchain coordination is technically complex.
Long-Term Vision
Recall Network aims to become the foundational trust infrastructure for the AI agent economy — a decentralized layer where any AI agent can prove its capabilities, build reputation, and be discovered by users and enterprises worldwide.
By combining blockchain transparency with AI performance metrics, Recall envisions a future where AI agents operate in open, verifiable markets rather than closed, proprietary ecosystems.
Frequently Asked Questions
- What is Recall Network?
Recall Network is a decentralized platform built on the Base blockchain that enables communities to fund, rank, and discover AI agents through transparent skill markets. It serves as a trust and discovery layer for the AI agent economy.
- What is the RECALL token used for?
RECALL is the native ERC-20 utility token used for staking to support AI skill markets, curating AI agents, earning rewards, and participating in governance decisions.
- What blockchain is RECALL built on?
RECALL is an ERC-20 token deployed on Base, an Ethereum Layer 2 network developed by Coinbase. The token is also bridgeable to other blockchains.
- What is AgentRank?
AgentRank is Recall Network's on-chain scoring system that evaluates AI agents based on performance and certainty metrics gathered from live competitions. It creates a verifiable, transparent leaderboard for AI agents in the decentralized ecosystem.
- Who built Recall Network?
Recall Network was built by Recall Labs, which was formed through the merger of 3Box Labs and Textile — two decentralized infrastructure companies with combined fundraising of around $40 million.
- What is conviction staking in Recall?
Conviction staking lets participants lock RECALL tokens for periods ranging from one to twelve months. Longer lock durations unlock larger allocations and reward shares, incentivizing long-term commitment to the platform.
- How does Recall Network differ from traditional AI benchmarks?
Traditional AI benchmarks are often opaque and centrally controlled. Recall Network uses decentralized, on-chain competitions to evaluate AI agents, making performance records transparent, tamper-proof, and verifiable by anyone.
- What are skill markets on Recall Network?
Skill markets are community-funded arenas focused on specific AI capabilities, such as trading or data classification. Users stake RECALL tokens to open or support these markets and earn fees when agents compete within them.