Recall Token Launches on Gate: A Rising Star in the Decentralized AI Skills Marketplace

Updated: 2025-10-17 09:22

As of October 17, 2025, the price of Recall (RECALL) on the Gate exchange is $0.285, down about 37.5% from the 24-hour high of $0.456, with a decrease of 29% in the past 24 hours. RECALL currently has a circulating market value of $57 million, ranking 577th in the cryptocurrency market.

This Price Trend It reflects the drastic fluctuations in the market during the initial listing of the token, while also demonstrating the ongoing interest of investors in the project.

01 Recall Network: Build a Decentralization AI Skill Market

Recall Network is a decentralized AI skill marketplace dedicated to building a secure and transparent ecosystem for artificial intelligence agent collaboration.

The network originates from the merger of Textile/Tableland and 3Box Labs/Ceramic, combining decades of experience in decentralization storage, authentication, and data infrastructure from both parties.

The core mission of Recall is to create a distributed intelligent layer that can securely store, share, and monetize knowledge for autonomous AI agents.

In the Recall ecosystem, AI agents can persistently store "inference logs" or knowledge fragments, all of which are cryptographically verified to ensure source credibility, process transparency, and support modular combinations across agents and applications.

02 Core Highlights and Community Foundation

The testnet performance of Recall Network is impressive, attracting over 1.2 million users, generating more than 8.7 million curation signals, and receiving over 150,000 submissions of AI solutions.

This data far exceeds that of many projects during the same period, indicating that it addresses real market needs.

The project positioning can be understood as a three-in-one combination of "crowdfunding platform + app store + arena" in the field of AI, closely connecting the demand side for AI skills, developers, and investors through innovative mechanisms.

The core narrative is to address the key pain points in the current development of AI: the AI development model dominated by large tech companies cannot meet the diverse and long-tail demands of niche markets.

03 RECALL Token’s economic model

RECALL Token, as an ERC-20 Token based on the Base network, plays multiple key roles in the Recall ecosystem.

The maximum supply of the Token is 1 billion coins, with an initial circulation of 201 million coins (accounting for 20% of the total supply). This relatively low initial circulation design may lead to early price fluctuations due to supply and demand imbalance, while also leaving room for subsequent value discovery.

Token distribution structure

  • Community and Airdrop: 25% — Distributed to early participants through the Recall Points/Fragments (Retroactive Airdrop) program.
  • Ecosystem Incentives: 20% — Funding for developers, competitions, and AI skills marketplace
  • Team and Advisors: 15% - Reserved for founders, contributors, and long-term strategic advisors.
  • Investors and strategic partners: 15% — allocated to institutional partners supporting the growth and infrastructure of Recall.

Token core functions

  • Developer Staking: Developers need to stake RECALL Token to participate in the AgentRank and AI competition leaderboard.
  • Curator Incentives: Users can stake RECALL to rate or review AI agents, and successful predictions will receive rewards, while incorrect ratings will face penalties.
  • Transaction fee: Users pay RECALL as a query/orchestration fee for multi-agent workflows, and a portion of the fee will be burned to create deflationary pressure.

In the future, RECALL may also be used for scenarios such as verifying agent startup costs, memory sharing between agents, and advanced API access, further deepening the practicality and demand for the Token.

04 Market Performance and Price Prediction

Recall Token officially launched trading on October 15, 2025, with an initial listing price that peaked at 0.456 USD, before subsequently falling to the current 0.285 USD, representing a 24-hour decline of 29%.

Such drastic fluctuations are not uncommon in newly listed Tokens, especially considering the current overall adjustment atmosphere in the cryptocurrency market.

According to LBank Price Prediction Data indicates that by 2030, the price of RECALL could reach $0.449572, representing a potential return of approximately 57.7% compared to current levels.

Another independent source predicts that the average price of RECALL will be $0.352251 in 2025, potentially growing to $0.369864 in 2026.

It is important to note that cryptocurrency price predictions carry a high level of uncertainty, and investors should make comprehensive judgments based on project development progress and market conditions.

05 Recall’s Development Roadmap and Funding Background

Recall Network has already outlined a clear development path, laying the foundation for future growth.

The project launched its Points/Fragments program (Retrodrop) on March 27, 2025, marking a new era of community participation.

In the second half of 2025, Recall conducted a Token Generation Event (TGE) or the official issuance of RECALL tokens.

In 2026 and beyond, the team plans to deploy a complete agency economic system, staking mechanism, knowledge market, and cross-chain interoperability solutions.

In the future, Recall will also expand its subnet/scalability infrastructure optimized for AI agents, develop data traceability tools, and integrate with more storage networks.

In terms of funding, Recall has raised approximately $42 million from leading investment institutions such as Multicoin Capital, USV, and CoinFund, providing a solid foundation for project development.

06 Investment Recall’s Potential Risks and Opportunities

Any cryptocurrency investment comes with risks and opportunities, and Recall is no exception.

Potential Risks

  • Intense market competition: Multiple projects have emerged in the intersection of AI and blockchain, and Recall needs to continuously innovate to maintain its competitiveness.
  • Technical execution risk: The grand vision of the project requires strong technical capabilities to support it; any development delays or failure to deliver on promises may affect the Token price.
  • Low initial circulation: An initial circulation of 20% may lead to drastic price fluctuations in the early stages of listing due to supply-demand imbalance.
  • Token unlock pressure: A combined 50% token allocation for investors and the team means that future unlocks may create ongoing selling pressure.

Potential Opportunity

  • Unique Positioning: Recall’s solutions have a first-mover advantage in the integration of AI and blockchain, with a broad market potential for solving the challenges of customized AI skill acquisition.
  • Strong financial support: $42 million in funding provides a solid foundation for project development.
  • Active community participation: The project successfully attracted early developers and social consensus through the Points/Fragments program.
  • Testnet validation: 1.2 million users and 150,000 AI solutions’ testnet data prove the market demand for the product.

Future Outlook

With the continuous integration of AI and blockchain technology, whether Recall can become a key bridge connecting these two cutting-edge fields remains to be seen by the market.

Recall represents the forefront exploration of the integration of blockchain and artificial intelligence, attempting to address the industry pain points of democratizing AI skill acquisition and knowledge transparency.

Although short-term price fluctuations are inevitable, its long-term value will ultimately depend on the progress of technological implementation and the effectiveness of ecosystem construction.

The content herein does not constitute any offer, solicitation, or recommendation. You should always seek independent professional advice before making any investment decisions. Please note that Gate may restrict or prohibit the use of all or a portion of the Services from Restricted Locations. For more information, please read the User Agreement
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