TAGGER

Tagger (TAG) presents a stark contrast between a strong conceptual foundation and critical deficiencies in technical transparency. The project benefits from a high-quality, publicly identified team (Score 8.5) and a robust market use case (Score 7.8) that addresses a genuine need for AI data labeling. However, these strengths are severely undermined by a lack of verifiable on-chain progress; the 'Active Development' score is critically low (1.5) due to the absence of public repositories, effectively making the project a closed-source 'black box.' Additionally, the 'Security' score (3.5) highlights a major risk factor: the lack of a completed, reputable smart contract audit. The tokenomics model is innovative but presents long-term dilution risks, with nearly 73% of the supply allocated to the 'Proof-of-Human-Work' rewards pool, which creates sustained sell pressure. While the integration with major cloud providers suggests real-world business utility, the investment profile is heavily weighed down by the inability to verify code and security independently. Investors are essentially betting on the team's reputation rather than verifiable protocol health.