[Alpha Project Interpretation] Recall (RECALL): AI + Blockchain new paradigm, how to layout investment strategy?

1 Overview: Building a Decentralization AI Knowledge Market with a New Protocol

Recall (Recall Network) is a core infrastructure aimed at building a secure and transparent information sharing and trading platform for AI programs through blockchain technology. This project is dedicated to creating a “skill marketplace”, allowing artificial intelligence to store, verify, and trade knowledge, addressing the core pain points of data silos, credibility verification, and value distribution in the current AI ecosystem. Its core narrative closely aligns with the cryptocurrency market's heightened focus on the AI and blockchain integration track by 2025, as well as the growth potential of the decentralized physical infrastructure network (DePIN) data sub-track.

The project is scheduled to officially launch on October 15, 2025 at CEX Alpha and open the RECALL/USDT trading pair. Its token economic model design is quite distinctive, with an initial circulating supply of 200 million RECALL, accounting for 20% of the planned total supply of 1 billion. It is worth mentioning that Recall has received support from several well-known venture capital institutions in the cryptocurrency field, which provides initial credibility and resource assurance for its technology development and ecological expansion.

2 Ecosystem Fundamental Analysis

2.1 Key Metrics and Initial Market Strategy

Due to the fact that the Recall mainnet and token have not officially launched, its core indicators are mainly reflected in the initial distribution, listing strategy, and community guidance mechanism:

Initial Circulation and Listing Strategy: Choose to launch on CEX Alpha, aiming to leverage the platform's user base and ecological resources for a cold start. A clear listing date and trading pairs provide the market with clear expectations, helping to gather initial liquidity.

Airdrop and Community Guidance: Airdrop distribution is conducted through the CEX Alpha Points system, and a unique “Belief Staking” mechanism has been established. This mechanism requires users to receive varying proportions (20% to 100%) of full allocation based on the duration of their locked tokens (1 to 12 months), aiming to filter long-term supporters and reduce the selling pressure in the early stages of listing.

Token Allocation Structure: The project team has clarified a total supply plan of 1 billion tokens. The first batch of 200 million tokens (20%) will be used for circulation, airdrops, and ecosystem launches. The remaining 80% will be reserved for the team, treasury, ecosystem fund, and future incentive measures to ensure the long-term development of the project.

2.2 Unique Positioning and Technical Features

Recall demonstrates the following differentiated characteristics in terms of technical vision and market positioning:

Decentralization AI Knowledge Market

Unlike many AI projects focused on model training or inference, Recall positions itself as a knowledge trading layer between AI programs. Its goal is to create a marketplace where AI can circulate the knowledge or skills it has learned as verifiable and tradable assets, which attempts to address data monopolization and AI interpretability issues to some extent.

Blockchain-enhanced credibility

By recording the transaction histories of AI knowledge and data on the blockchain, Recall aims to provide a transparent and immutable audit trail for collaboration among AIs. This design theoretically enhances the transparency of the AI decision-making process and ensures that knowledge contributors receive fair compensation.

“Faith Staking” Economic Model

The belief staking mechanism introduced by Recall is the core innovation of its economic model. This mechanism strongly guides users to engage in long-term staking through economic incentives, directly linking the liquidity lock-up of tokens to the proportion of users' asset allocation, thereby creating an inherent deflationary pressure and a structural resilience against short-term sell-offs.

2.3 Token Economic Model Analysis

The token economic model of RECALL seeks a balance between incentivizing long-term participation and controlling initial inflation:

Token Distribution and Release

Total Supply: 1 billion RECALL.

Initial Circulation: 200 million ( accounts for 20% of the total supply ).

Long-term Allocation: The remaining 80% will be allocated to the team, treasury, and ecosystem fund, with the specific release schedule not yet fully disclosed.

Value Accumulation Mechanism

Network Utility Driven: RECALL tokens are likely to be used as the primary payment medium and settlement unit for accessing and trading AI knowledge or skills within the Recall network.

Staking Incentives: The belief staking mechanism is not only a distribution tool but may also become the basis for network security and governance participation, where stakers may receive additional token rewards or governance rights.

Governance Function: Token holders may participate in decision-making regarding key parameters of the platform in the future, such as transaction fees, the launch of new features, etc.

Potential Risk Points

Long-term inflation pressure: Although the initial circulation is only 20%, how the remaining 80% of the tokens are released will be key to influencing long-term value. If the release pace of the team's and ecosystem fund tokens is too fast, and the growth in network demand does not keep pace, it will continue to dilute the value of the tokens.

Model Complexity: The belief staking mechanism, although sophisticated, raises the participation threshold for users. Insufficient understanding may lead users to make suboptimal staking decisions or to concentrate their selling during the unlocking period, causing price fluctuations.

Utility Dependence: The long-term value of the token is highly dependent on whether the Recall network can truly attract AI developers and users to form an active knowledge trading market. Any delays in adoption may affect the fundamental demand for the token.

3 Technical Analysis and Development Forecast

3.1 Current Market Conditions and Valuation Background

As a new asset that has not yet experienced market trading, the valuation analysis of RECALL needs to be comprehensively assessed based on its project positioning, initial circulation, and market environment:

Market Heat and Track: The intersection of AI and blockchain tracks continues to attract market attention and capital favor in 2025. In the field of Decentralization AI data infrastructure where Recall is located, if its vision can be partially realized, it will have a huge potential market space.

Initial Circulating Market Cap: Based on an initial circulation of 200 million tokens and an unknown listing price, the initial circulating market cap will directly determine the price stability and early upside potential. A relatively low initial circulation may cause rapid price fluctuations in the early stages of listing due to supply and demand dynamics.

Exchange Effect: Listing on CEX Alpha provides significant initial exposure and liquidity entry. However, the historical performance of new assets on this platform varies widely, highly dependent on the project's own progress and the overall market sentiment.

3.2 price prediction and target range

Based on the project vision, economic model characteristics, and potential risks of Recall, we present the following scenario analysis for the price trend of the RECALL token after its listing. Please note that this is a model deduction based on limited information and is not investment advice. The cryptocurrency market is highly volatile; investment should be approached with caution.

Bull Market Scenario (Probability 25%)

Conditions: Quickly showcase feasible AI knowledge trading use cases after the mainnet launch; establish strategic partnerships with 1-2 well-known AI research institutions or companies; exceed expectations in the belief pledge locking ratio; the AI + Decentralization track gains widespread market attention, and the overall crypto market enters a bull market cycle.

Price Target: Significant upside potential in the medium term.

Driving Logic: The project successfully verifies its market fit, with rapid growth in network trading volume and active address numbers. The market grants it a premium as the leader of the “Decentralization AI Data Layer,” and the belief staking mechanism effectively locks a large amount of circulating supply.

Baseline scenario (Probability 50%)

Conditions: The project is steadily advancing its technology development according to the roadmap; a developer community has initially formed but has not experienced explosive growth; the participation level in belief staking is moderate; the overall cryptocurrency market is showing a volatile pattern.

Price Target: After experiencing significant fluctuations in the medium term, a moderate increase is expected.

Driving Logic: The technology is robust in execution but faces competition, ecological growth meets expectations but does not exceed market imagination, and the token price will face periodic pressure during the staking unlock period.

Bear Market Scenario (Probability 25%)

Conditions: The product experience or performance did not meet expectations after the mainnet launch; low adoption rate of AI data trading; a large number of airdrop recipients choose not to stake and sell immediately; the cryptocurrency market as a whole enters a bear market.

Price Target: Facing significant short-term downside risks.

Driving Logic: Risks associated with the execution of technology or products become apparent, the network utility fails to generate sufficient token demand in a timely manner, the initial circulation faces significant selling pressure, and market confidence is undermined.

4 Summary of Opportunities and Risks

4.1 Bullish Catalysts

Competitive Advantages and Narrative Potential: The integration of AI and blockchain is one of the most promising narratives in the cryptocurrency space. Recall is committed to building a Decentralization AI knowledge market, which, if successful, will capture the value of both the AI and data economies.

Innovative Token Economic Model: The belief staking mechanism is one of its highlights, as this design can effectively suppress the liquidity supply in the early stage of listing, binding user interests with the long-term development of the project through economic incentives, potentially providing stable support for the price.

Strong Exchange Endorsement: The launch on CEX Alpha provided valuable initial liquidity, user attention, and brand credibility endorsement, significantly enhancing the project's market visibility and success probability.

Clear Initial Circulation Control: An initial circulation ratio of 20% is relatively low; if market demand is strong, the limited circulation may drive prices up rapidly in the early stages of listing.

4.2 Risk Factors

Technical Execution and Product-Market Fit Risk: Building an active, decentralized AI knowledge trading platform involves complex technological and ecological challenges. Whether Recall can attract a sufficient number of AI developers and users to form a vibrant bilateral market is key to its success and the greatest uncertainty.

Initial Liquidity and Sell-off Pressure: Despite the belief in the staking mechanism, there may still be some airdrop recipients who choose not to stake or to stake for a short period before immediately selling. In the early stages with insufficient trading depth, this could lead to severe price fluctuations.

Long-term Sustainability of Token Economic Model: 80% of the tokens have not yet circulated. If the future release plans (such as tokens for teams, investors, and ecosystem incentives) are poorly designed or mismatched with network growth, it may create long-term inflationary pressure.

Intense Market Competition: The competition in the AI and blockchain space is fierce, with both other decentralized protocols focusing on data or computing power and centralized solutions launched by large tech companies. Recall needs to establish strong competitive barriers in its niche.

Market Systemic Risk: As a cryptocurrency asset, the price of RECALL is highly correlated with the trends of Bitcoin and the entire cryptocurrency market. External factors such as macroeconomic conditions and changes in regulatory policies may completely overshadow its specific fundamentals.

5 Conclusion

Recall, with its grand vision of building a decentralized AI knowledge market and innovative belief in a staking economic model, occupies a remarkable position in the forefront of the integration of AI and blockchain. Its meticulous listing arrangements and initial circulation design create favorable conditions for the project's cold start. However, investors must be acutely aware that the project is still in a very early stage, and the realization of its long-term value entirely depends on whether it can successfully build an active AI data ecosystem after the mainnet launch and validate its product-market fit. For investors with a higher risk tolerance, Recall represents a high-potential, high-risk investment opportunity in the AI + blockchain infrastructure space, and it is advisable to adopt prudent position management and a long-term perspective, closely monitoring its technical milestones and ecological development data. For conservative investors, it may be better to wait for clearer product adoption signals and network utility proof before considering participation. In the crypto world where innovation and uncertainty coexist, Recall is undoubtedly a project worth paying attention to, but its ultimate success still needs to be rigorously tested by the market.