Research Report｜In-Depth Analysis and Market Cap of Recall Network(RECALL)

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Bitget2025/10/16 07:21

By:Bitget

I. Project Overview

Recall Network is a decentralized intelligence network designed specifically for autonomous AI agents. It was established through the merger of the 3Box Labs team (formerly Textile, Tableland, Ceramic) and aims to address trust and transparency challenges in AI benchmarks.

The network leverages blockchain-based knowledge storage, sharing, and exchange mechanisms, combined with on-chain public competitions and historical records, to create an innovative ecosystem with sustainable incentives and community co-creation. Its standout feature is the “memory-first” architecture, which ensures that all AI agent actions and outcomes are verifiable on-chain. Paired with the AgentRank and Recall Rank reputation systems, reputation data is portable and dynamically updated.

The platform integrates Ceramic memory stream, Filecoin for long-term storage, and Ethereum anchoring, and is built on Base L2, supporting a cross-framework AI skills marketplace that encourages community-driven curation, economic incentives, and commercialization.

The native token, $RECALL, follows the ERC-20 standard and is deployed on Base, with a total supply of 1 billion tokens. At TGE, 20% are circulating, while the remainder is gradually unlocked through vesting and incentives. $RECALL is primarily used for staking AI agents (enhancing AgentRank), paying network fees, and participating in skill pool curation and predictions. The economic model emphasizes long-term incentives and community alignment, mitigating high inflation and short-term selling pressure to ensure sustainable ecosystem growth.

II. Project Highlights

Trustworthy, Neutral Decentralized AI Competition Platform: Community-driven on-chain transparent record-keeping, knowledge sharing, and value exchange enhance the credibility of AI systems.

Modular On-Chain Architecture: By combining Ceramic memory stream, Filecoin, and Ethereum anchoring, all AI actions are fully traceable and auditable. AgentRank and Recall Rank provide on-chain performance evaluation, distinguishing it from black-box centralized AI evaluation systems.

Innovative Economic Incentives and AI Skills Marketplace: AI agents can perform tasks, participate in bids, and stake, while $RECALL enables curation and reward sharing through Skill Pools, integrating skills, reputation, and economic incentives.

Empowering a Sustainable Decentralized AI Ecosystem: Leveraging 3Box Labs’ technical expertise and top-tier VC support, Recall Network continuously optimizes AI agents through on-chain governance and community participation, contributing to the Web3 AI foundational layer.

III. Market Valuation

With a total supply of 1 billion tokens and an initial circulation of approximately 200 million, post-investment valuation is around $509 million. The platform supports AI tool crowdfunding, reward distribution, and on-chain governance, positioning Recall Network as a key protocol in the crypto AI infrastructure space.

Research Report｜In-Depth Analysis and Market Cap of Recall Network(RECALL) image 1

IV. Economic Model

The total token supply is 1 billion, of which:

Research Report｜In-Depth Analysis and Market Cap of Recall Network(RECALL) image 2

Community & Ecosystem: 30% (user and developer incentives, ecosystem expansion)

Early Investors: 29% (supporting ecosystem growth)

Founders & Core Contributors: 21% (long-term incentives with vesting)

Airdrops: 10% (rewarding early supporters, some require conviction staking)

Recall Foundation: 10% (protocol upgrades and ecosystem support)

Token Utility: Funding and rewarding AI skill development, curation, and competitions; governance and voting; Conviction Staking for long-term commitment to reduce short-term speculation; trading and cross-chain payments; core incentives in the AI skills marketplace (ranking, knowledge sharing, fair competitions).

V. Team & Financing

The team originates from 3Box Labs, with expertise in Ceramic and TextileIO core modules, focusing on decentralized AI and blockchain infrastructure. The team advocates open-source development and on-chain verification of AI agent performance.

Total financing has reached approximately $42 million (including $30 million Series A), with investors such as Multicoin Capital, Union Square Ventures, Coinbase Ventures, CoinFund, Placeholder, ConsenSys, Digital Currency Group, and Hushed Fund.

VI. Potential Risks

Short-Ter m Selling Pressure: Circulating airdrops and DEX liquidity pools at TGE may trigger post-listing sell-offs; mitigated through slippage protection, staking rewards, or lockup incentives.

Medium-Term Selling Pressure: Linear release of investors and first team unlocks (2026 Q1–Q3) may lead to temporary price volatility or corrections.

Long-Term Selling Pressure: Continuous team and foundation token releases may weaken price support if practical use cases or token burn mechanisms are not sustained; mitigated via buyback programs, DAO staking rewards, and ecosystem expansion.

VII. Official Links

Website: https://t.co/Up3eQbp0Cg

Twitter: https://x.com/recallnet

Disclaimer: This report was generated by AI and human-verified for accuracy. It is not intended as investment advice.

Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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