In 2025, Recall (RECALL) was launched to address the need for a decentralized AI skill market. As a pioneering platform in the AI and blockchain intersection, Recall plays a crucial role in the development and utilization of AI skills.
As of 2025, Recall has become an important player in the AI-blockchain integration space, with a market cap ranking of 390. It boasts an active community of 20,118 holders and is listed on 20 exchanges, indicating growing adoption and interest in its unique approach to AI skill development and utilization.
Recall was created in 2025 with the goal of revolutionizing how AI skills are developed, funded, and utilized. It emerged during a period of rapid advancement in both AI and blockchain technologies, aiming to create a decentralized marketplace where communities could fund, crowdsource, and rank AI skills.
Supported by its community and development team, Recall continues to optimize its technology, security, and real-world applications in the AI skill marketplace.
Recall operates on a decentralized network of computers (nodes) spread across the globe, free from control by any single entity. These nodes collaborate to validate transactions, ensuring system transparency and attack resistance, thus empowering users with greater autonomy and enhancing network resilience.
Recall's blockchain serves as a public, immutable digital ledger that records every transaction. Transactions are grouped into blocks and linked through cryptographic hashes, forming a secure chain. Anyone can view the records, establishing trust without intermediaries.
Recall uses a consensus mechanism to validate transactions and prevent fraudulent activities such as double-spending. Participants maintain network security through various activities and are rewarded with RECALL tokens. The innovative aspect of Recall lies in its unique approach to creating a decentralized marketplace for AI skills.
Recall employs public-private key encryption to protect transactions:
This mechanism ensures fund security while maintaining a certain level of transaction privacy. The BASE blockchain, on which Recall operates, provides additional security features inherent to its infrastructure.
As of November 16, 2025, RECALL's circulating supply is 656,284,273.0254 tokens, with a total supply of 1,000,000,000 tokens.
RECALL reached its all-time high of $0.6255 on October 18, 2025. Its lowest price was $0.1419, occurring on November 14, 2025. These fluctuations reflect market sentiment, adoption trends, and external factors.
Click to view the current RECALL market price

RECALL's ecosystem supports various applications:
RECALL has established a decentralized platform for AI skills, laying a solid foundation for ecosystem expansion.
RECALL faces the following challenges:
These issues have sparked discussions within the community and market, driving continuous innovation for RECALL.
RECALL's community shows vitality, with 20,118 holders as of November 16, 2025. On X (formerly Twitter), posts and hashtags related to RECALL often trend, reflecting community engagement.
Sentiment on X presents a mixed picture:
Recent trends show a challenging market sentiment with a 24-hour price decrease of 12.5%.
X users discuss RECALL's potential in revolutionizing AI skill markets and its role in decentralized technology.
RECALL is redefining the intersection of AI and blockchain, offering a decentralized marketplace for AI skills. Its active community, rich resources, and innovative concept make it stand out in the cryptocurrency field. Despite facing challenges such as market volatility and competition, RECALL's innovative spirit and clear vision position it as a notable project in the future of decentralized AI technology. Whether you're a newcomer or an experienced player, RECALL is worth watching and participating in.
Recall refers to the ability to retrieve or remember information. In crypto, it may relate to recalling tokens or smart contract functions.
In crypto, being recalled means a token or asset is withdrawn from circulation, often due to issues or upgrades. It can impact value and availability.
Recall in psychology is the ability to retrieve stored information from memory without external cues. It involves actively recollecting past experiences or learned knowledge.
Recall in AI measures the ability to identify all relevant instances. It's the ratio of correctly identified positive cases to all actual positive cases, crucial for evaluating model performance.
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