Recently, Sahara Ai has become very popular and has already been listed on Binance. Many friends are already aware of it, but there is another AI project called @codatta_io that has been quietly rising in the same field. Both are working on Web3 data infrastructure, but their directions are completely different.

Sahara is more like a decentralized data marketplace, addressing the issues of "where to find data and how to use it." It mainly serves data access and permission control for AI projects, while Codatta focuses more on "what this data actually means." It provides on-chain behavior tagging to build structured metadata, such as whether an address is a bot, what type of transaction it is, and whether a person is involved in ranking manipulation.

In simpler terms, the former makes data usable, while the latter makes data understandable. Their positioning is completely different, and they could even be used in conjunction in the future.

Codatta's core mechanism is staking-as-confidence, which simply means that anyone who finds a label reliable can stake to endorse it, and the community reaches a consensus through a voting mechanism. Labels can be generated by AI or manually added by people, such as tagging addresses, transaction behaviors, and NFT projects, ultimately forming a semantic layer of a data network.

This data can not only serve on-chain analysis and anti-witch-hunt mechanisms but can also be fed to AI models for training sets or directly used in DeFi project recommendations and risk management. Overall, Codatta is focused on the "meaning of data," making pure on-chain behavior contextual, semantic, and structured. By utilizing decentralized tagging, staking mechanisms, AI verification, and reward distribution, it has built a relatively complete closed loop for data contribution and application.

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