Recently, Sahara Ai has become very popular and has been listed on Binance. Many people are already aware of it. However, in the same track, there is another AI project called @codatta_io that has been quietly rising. Both are working on Web3 data infrastructure, but their directions are completely different.
Sahara is more like a decentralized data marketplace, solving the problem of "where to find data and how to use it," primarily serving AI projects' data access and permission control. In contrast, Codatta focuses more on "what this data actually means." It is doing on-chain behavior tag annotations to build structured metadata, such as determining whether an address is a bot, what type a transaction belongs to, or whether someone has been manipulating rankings.
In simpler terms, the former makes data usable, while the latter makes data understandable, with completely different positioning that could potentially be used together in the future.
Codatta's core mechanism is "staking-as-confidence," which means that those who believe a tag is reliable can stake to endorse it, and the community reaches consensus through a voting mechanism. Tags can be generated by AI or manually added by humans, such as annotations for addresses, transaction behaviors, and Non-Fungible Token projects, ultimately forming a semantic data network.
These data can not only serve on-chain analysis and anti-Sybil mechanisms but can also be used as training sets for AI models or directly applied in DeFi project recommendations and risk management. Overall, Codatta is working on the "meaning of data," transforming pure on-chain behaviors into contextual, semantic, and structured information. By utilizing decentralized annotation + staking mechanism + AI verification + reward distribution, they have built a relatively complete data contribution and application closed loop.
