Masa (MASA)

Data Error

Overview

Masa (MASA) began as a blockchain project for digital identity and credit history. It later shifted toward a different goal: helping people contribute data and computing power for artificial intelligence. Its network brought together data contributors, developers, and computer operators. The MASA token was designed to reward contributions and support activity across that network. (github.com)

Masa’s story has several stages. It developed identity tools, launched an AI data marketplace, built tools for gathering web data, and later adopted the Gopher name. On March 25, 2026, the Masa and Gopher team announced that Masa and its subsidiaries were preparing to wind down. That history matters when reading older descriptions of MASA: they explain what the token was built to do, while the team’s later announcement explains the project’s change in direction. (github.com)

History & Team

From credit identity to AI data

Masa’s early work focused on a digital identity that could carry information about a person’s credit history. Its software used soulbound tokens: blockchain records tied to an account rather than freely traded between accounts. A credit score could draw on information such as bank transactions, credit bureau files, and on-chain activity, depending on the user’s region. The aim was to let financial applications consider more than a conventional credit file. (github.com)

The project’s co-founders were Brendan Playford and Calanthia Mei. Mei appeared as a Masa co-founder in the announcement of an early lending collaboration with Teller Finance. Masa also received backing from investors including Digital Currency Group, Anagram, and Animoca Brands, according to the project’s published developer materials. (medium.com)

By 2024, Masa’s focus had moved toward data for AI. A March 2024 community sale on CoinList preceded the launch of its AI data marketplace and MASA token that April. CoinList reported at the time that more than 1.2 million wallets had contributed over 23 million data points to the network. Those figures describe an early project milestone, rather than its later level of activity. Masa subsequently developed a real-time data subnet within Bittensor, an ecosystem in which network participants compete to provide useful AI-related services. (blog.coinlist.co)

Masa later rebranded as Gopher. Its original GitHub organization directs readers to the Gopher organization. In March 2026, the team announced its planned corporate wind-down and said it had transferred ownership of Bittensor Subnet 42 to another party. It also said the Gopher product remained accessible at the time of that announcement. (github.com)

Technology & How It Works

Gathering and checking data

Masa’s AI design centered on a basic need: an AI application needs useful information before it can answer questions or act on a user’s request. Some applications need recent public posts or web pages; others need data prepared in a form a model can read. Masa proposed a network where participants could gather, organize, and supply that information. (github.com)

The project described several roles. Workers supplied data or computing resources. Validators checked contributions against network rules. Developers could then use the resulting information in models, applications, or AI agents. In Masa’s Bittensor Subnet 42, miners gathered real-time social data and validators evaluated its quality, freshness, and relevance. This made the subnet a data-gathering layer for AI builders. (github.com)

Masa’s identity work also shaped its approach to personal data. Its earlier soulbound records connected information to an account, while permission controls governed access to private details. The AI marketplace used the idea of zero-knowledge soulbound tokens, or zkSBTs, to help people share data points without simply publishing their identity. In the marketplace, users could connect accounts, collect data points through activities, and choose to contribute them to a data pool. (github.com)

Later Gopher materials described tools that turn web pages and social content into structured data, such as text or JSON that software can process. They also described trusted execution environments: protected spaces within computer hardware intended to help check how data is handled. These tools show how the project’s work expanded from user-contributed personal data toward data gathered for AI applications. (github.com)

Tokenomics & Utility

The original MASA model

CoinList’s sale materials stated a total MASA token supply of 1,588,866,523. Its 2024 community sale allocated 111,220,657 MASA. For that sale allocation, 25% was scheduled for release at the token’s exchange listing, with the remainder released gradually over six months. These figures describe the original MASA sale and distribution plan. (coinlist.co)

The token had several proposed and historical uses. Masa offered MASA rewards in its AI data pools, giving people an incentive to contribute data points. It also allocated tokens to an incentivized Bittensor testnet, where miner rewards were tied to the amount and quality of data and computing work supplied. Masa’s protocol whitepaper discussed staking and rewards for different network roles. In simple terms, the token was meant to help pay for useful participation, rather than serve only as a record of ownership. (paragraph.com)

The later Gopher rebrand introduced plans for a GOAI token and a MASA-to-GOAI transition. MASA’s original supply figure and sale schedule therefore belong to the token’s launch history; they do not describe a completed Gopher token distribution. The March 2026 wind-down announcement is an important later point in that timeline. (coinlist.co)

Ecosystem & Use Cases

Masa brought together several uses for data. Its early identity tools offered a way to connect credentials and credit information to a blockchain account. The project explored whether that record could help lending applications assess a borrower. Its later marketplace gave users a way to contribute selected data points to AI data pools. For developers, those pools represented a source of information for training or building applications. (github.com)

The Bittensor work addressed a related problem: gathering recent, usable public information. A developer building an AI assistant might need new social posts rather than a fixed collection of older text. Subnet 42’s miners and validators were organized around supplying and checking that kind of data. Gopher’s later developer materials described tools for web pages, social posts, videos, and forum discussions. (github.com)

Together, these efforts show two sides of Masa’s approach. One concerned people choosing to share information linked to their digital lives. The other concerned workers collecting public information and preparing it for software. MASA was part of the incentive system built around those activities. (paragraph.com)

Advantages & Challenges

Masa’s design offered contributors a role in the value created from data. It combined a marketplace for chosen data contributions with a worker network for gathering public information. Its use of blockchain records could make token rewards visible, while validators provided a way to compare the usefulness of network submissions. Its earlier identity tools gave the project experience with permission-based access to personal information. (paragraph.com)

The work also faced practical challenges. Public data must be gathered, formatted, and checked before it becomes useful to an AI developer. Personal-data systems must make clear what information a person has agreed to share. Masa’s changing infrastructure added another layer: the team announced plans to retire its Avalanche-based subnet and move certain MASA arrangements to Base before the later Gopher rebrand. The subsequent transfer of Subnet 42 and corporate wind-down changed who would carry forward parts of that technical work. (paragraph.com)

Where to Buy & Wallets

MASA can be purchased through an Ethereum swap on Uniswap using its Ethereum token contract, 0x944824290CC12F31ae18Ef51216A223Ba4063092. MASA also appeared on other exchanges during its history, but listings changed. Bybit announced a MASA delisting in January 2026; Coinone ended MASA trading in February 2026; KuCoin and Gate announced MASA delistings later that year. Uniswap therefore provides a clearer example of an on-chain route than those former centralized listings. (etherscan.io)

The Ethereum version of MASA can be held in a self-custody wallet that supports ERC-20 tokens, such as MetaMask. A wallet may require the contract address to display the token. Ethereum transactions also use ETH to pay network fees. MASA has appeared on more than one blockchain, so the wallet network and token contract are distinct details when viewing or transferring a balance. (etherscan.io)

Regulatory & Compliance

Masa’s 2024 CoinList community sale required identity and anti-money-laundering checks. That sale excluded residents of the United States, China, Canada, South Korea, and certain other jurisdictions. Those restrictions applied to the sale described by CoinList. In the European Union, the Markets in Crypto-Assets framework sets rules for covered token issuers and crypto-asset service providers. Separately, the EU’s GDPR sets requirements for handling personal data, including standards for valid consent. Both areas matter to the kind of token-and-data model Masa developed. (coinlist.co)

MASA has no documented Shariah certification in the project materials examined for this article. Islamic finance principles generally prohibit interest, excessive uncertainty, and gambling. A Shariah assessment of MASA would need to consider the particular use of the token and the terms of any connected service. Masa’s early work included an identity-based lending collaboration, while its later token design emphasized rewards for data and network contributions. Those different activities call for a more specific assessment than the token name alone can provide. (assets.publishing.service.gov.uk)

Future Outlook

Masa’s lasting technical ideas include user-controlled data contributions, rewards for gathering useful information, and systems for checking data before AI applications use it. Its move from credit identity to AI infrastructure also shows how a blockchain project can reuse early tools for a new purpose. (github.com)

The project’s later course is defined by the March 2026 announcement: the Masa and Gopher team said the corporate entities were preparing to wind down, Subnet 42 had been transferred, and the Gopher application remained accessible at that point. Future development of the transferred subnet rests with its new owner, while that announcement left the longer-term operation of the Gopher product open. (telemetr.io)

Summary

MASA was created to support a project that moved from blockchain identity and credit tools into AI data sharing and collection. Its economic model rewarded people who contributed information or network work. Masa later adopted the Gopher name, then announced a corporate wind-down and the transfer of its Bittensor data subnet. The token’s history is a clear example of how crypto incentives were applied to the question of who supplies data for AI—and who receives value when that data is used. (github.com)