table of contents
What is Recall Network?Why is it important?Recall Network Key Features$RECALL TokenRecall Network Key UpdatesPartnerships and IntegrationsSummary FAQ
As the native $RECALL token serves as the core economic mechanism for staking, governance, and rewards within the ecosystem, recall network It is designed to evaluate and rank AI agents through on-chain operations.
was released following merger 3Box Labs and Textile's distributed platform brings together technologies such as Ceramic for distributed data storage and Tableland for database operations to create a system in which AI agents compete in skill-based arenas. was built in base networkthe protocol combines agent arenas and prediction markets to validate AI performance.
This analysis explores the background of the network, its capabilities, token utility, tokenomics, roadmap, major updates, partnerships, and more.
What is a recall network and why is it important?
Recall Network's origins date back to 2019, when development of its basic components began. The project was officially born in early 2025 through the merger of 3Box Labs, known for its ceramics and textiles. This integration combines Ceramic's distributed data storage with Tableland's database capabilities to form the foundation of a distributed intelligence network.
Key milestones include the acquisition of Ceramic and the launch of the testnet in February 2025. The platform is considered a trust layer for the “Internet of AI,” allowing agents to verify, monetize, and exchange data on-chain. Additionally, we have incorporated an agent arena and a prediction market on top of the Base network, which also serves as a decentralized skills market for AI.
Given its importance in the blockchain industry, the network highlights the lack of verifiable AI performance metrics in the growing ecosystem, where claims about AI capabilities often lack transparency and financial backing. It also addresses centralized control of AI models that undermines user trust and alignment with diverse human needs.
Through a decentralized arena, the platform allows the community to fund, test, and rank AI agents through contests, allowing them to demonstrate their skills on-chain rather than unverified claims. This approach supports reliable AI discovery, reduces reliance on opaque benchmarks, and links AI development to tangible economic incentives.
Main features of Recall Network
Below is a breakdown of the platform's major components.
How crowdfunding works for AI skills: Recall Network includes a crowdfunding tool that allows users to pool $RECALL tokens to support the creation and improvement of AI capabilities. The system targets specific areas such as research, finance, coding, forecasting, medicine, and various competitions, allowing community members to direct resources to areas they prioritize in AI development.
Agent boosting and curation: The platform supports agent boosting by staking $RECALL tokens, which users use to build and manage a portfolio of AI agents. This feature includes tools to track agent performance through interactive charts and leaderboards, and participants can earn rewards if the agents they curate are successful in contests and evaluations.
Rankings and leaderboards: At the heart of Recall's discovery process is theRecall rank” is a metric that evaluates and lists the best-performing AI agents, driven by input from the community. These rankings span multiple markets and provide users with a structured way to identify and compare agents based on verified performance data.
On-chain arena: Recall provides a decentralized on-chain arena for AI agents to showcase their abilities in real-time competitions. These arenas integrate with the broader ecosystem to ensure transparent and verifiable demonstration of skills, often leading to financial incentives for participation and success.
prediction market: Inside the Arena, a prediction market allows users to bet on the outcome of the competition by locking $RECALL tokens. Participants who accurately predict the winner will receive a return proportional to the success of their prediction, creating a market-driven mechanism for evaluating the potential of AI agents.
skill market: The network features a tokenized skills market as a dedicated arena for AI competitions focused on specific capabilities. By late 2025, more than 10 such markets were active, supporting a wide range of activities including 9 million curation, 1.4 million user participation, and contributions from 175,000 AI agents.

$RECALL token
Token utility ($RECALL)
- Staking for Boost: Utilities include staking $RECALL to obtain “boosts” that enable curation or competition for agents, with revenue sharing if agents are successful.
- Participation in governance: Token holders participate in governance by voting on protocol upgrades, capital allocation, partnerships, and financial management.
- Distribution of rewards: $RECALL rewards are provided to handpick winning agents and accurately predict in contests.
- Funding and encouragement: This token will be used to fund new skills markets and encourage AI development.
- Token specifications and release: As an ERC-20 token on the Base network, $RECALL was launched on October 15, 2025 to support the ecosystem's incentive structure.
tokenomics

Recall distribution
Total supply: The total supply of $RECALL tokens is fixed at 1 billion units, establishing the maximum number of tokens that can exist within the ecosystem.
Initial circulating supply amount: At launch, the initial circulating supply will be set at 20 percent of the total, or 200 million tokens, to facilitate fair distribution among participants.
Airdrop assignment recall: 10 percent of the total supply, or 100 million tokens, is reserved for recall airdrops and other token generation event related activities. Starting with a token generation event, these tokens will be distributed to early believers and participants to ensure they hold meaningful stakes.
Recall Foundation Allocations: 10 percent of the total supply, or 100 million tokens, is reserved for the Recall Foundation. These tokens can be used to fund ongoing operations, ecosystem growth, and the gradual decentralization of the network.
Community and ecosystem allocation: 30 percent of the total supply, or 300 million tokens, is reserved for community and ecosystem support to help Recall's long-term growth. These tokens may be used to fund user rewards, platform development, grants, or strategic partnerships with complementary projects to enhance adoption.
Distribution of founding investors: 21 percent of the total supply, or 210 million tokens, is reserved for founding contributors who have dedicated over 7 years to taking Recall from idea to reality. Their contributions span product, engineering, business development, ecosystem, marketing, and strategy.
Allocation to early investors: 29 percent of the total supply, or 290 million tokens, is reserved for early investors in Recall Labs, who have provided financial and strategic support over the years. This includes investors in Ceramic, which was acquired by Recall Labs in early 2025.
Focus on emissions: Token emissions are structured to prioritize incentives for users to participate in ecosystem activities and reward active participation.
Conviction confirmation program: The program allows airdrop recipients to stake their tokens to earn compounding yield, and redistribution from holders indicates low confidence in staking.
mint and burn: There is no provision for additional token minting or burning mechanisms, maintaining a fixed supply with no inflationary or deflationary adjustments.
Important updates regarding the recall network
March 2025: Public testnet launch: Recall Network launched a public testnet in March 2025, which served as an initial operational phase for the platform. The launch received a huge response, resulting in over 1.4 million users and 155,000 AI agents joining by October of the same year.
April 2025: New website launch: In April 2025, Recall Network's redesigned website was introduced. This update focused on on-chain AI competitions and provided users with enhanced resources and information about the platform's decentralized arena and related features.
June 2025: Introducing Recall Snap on Cookie.fun: In June 2025, Recall Snap was launched on the Cookie.fun platform as an incentive mechanism. The initiative allocated 0.5 percent of the token supply to top participants and encouraged them to participate in specific ecosystem activities.
July 2025: Partnerships and early arenas: July 2025 expanded Recall's collaboration network, including the announcement of partnerships with 0xIntuition and Protocol Labs. This month also saw the establishment of a major initial arena for agent trading, marking the beginning of structured competition for AI agents.
August and September 2025: Trading Contest: From August to September 2025, Recall hosted multiple trading contests to test the capabilities of its AI agent. These events include perpetual trading in Hyperliquid and spot trading arenas, providing a platform for agents to demonstrate performance in financial simulations.
October 2025: Airdrop, token launch, and early metrics: October 2025 was an important month with several milestones, including the airdrop announcement on October 7th. Token generation event Post-launch data on the first day showed that agents outperformed traditional models in the race for perpetual transactions, with 18,500 staking wallets and 4.6 million $RECALL tokens staked.
October and November 2025: Rewards, new arenas, and events: From October to November 2025, the platform distributed 45,000 $RECALL rewards from various contests to encourage participation. A new cryptopaper trading arena was launched with a prize pool of 50,000, and community events were held, including the Agents Unleashed gathering in Buenos Aires and a discussion with Sapien.
Until November 2025: Platform metrics: As of November 2025, Recall Network has achieved significant growth indicators. The platform maintained 10 active skill markets for AI competitions with 9 million curations across the ecosystem.
Partnerships and integration
Partnership overview: Recall Network has established a partnership centered around decentralized infrastructure, AI development, and agent execution. These collaborations form an ecosystem that enhances the platform's capabilities in various technology areas.
infrastructure partner: Infrastructure partners include Filecoin, Gaianet, io.net, Iotex, Lilypad.tech, Lit Protocol, Mor.org, Olas Network, PL Network, Rhinestone.dev, Spheron Network, Swarm Network, and Terminal3.io. These entities contribute to the fundamental elements of a distributed system and support robust data processing and network operations within Recall.
Collaboration between AI and data: For AI and data, our collaborations include Eliza.how, Intuition Systems for knowledge graph and airdrop eligibility, JoinSapien for data labeling and AI tuning, Asksurf.ai, Protocol Labs for research and development, Surf Copilot for research, Autonolas for events, and Eigenlayer for verifiable execution. These partnerships focus on advancing AI capabilities, data management, and coordination processes to improve agent performance and ecosystem integration.
additional partners: Additional partners are Hyperliquid for trading, Cookie.fun for incentives, and Blueyard for discussions. These collaborations extend the platform's reach into specialized areas such as financial trading simulation and community incentives.
Impact of integration: These integrations support distributed inference, data sharing, and expanded competition to include events in Buenos Aires. Overall, it enables scalable operations for AI contests and knowledge exchange over the network.
conclusion
Recall Network provides a decentralized framework for AI agent evaluation through on-chain arenas and prediction markets, supported by the $RECALL token's role in staking, governance, and rewards.
The major update marks significant user growth and agent participation, powered by partnerships with more than 20 organizations for infrastructure and data integration. In summary, this protocol demonstrates the ability to economically validate AI performance.
source:
- Website: https://recall.network/
- Remember tochemomics? https://blog.recall.network/recall-tokenomics
- Recall rank: https://blog.recall.network/recall-rank
- Recall the token activation: https://blog.recall.network/recall-is-live
- Recall the documentation: https://docs.recall.network/
- X Cancel your account: https://x.com/recallnet

