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    TARS AI

    TAI

    @TARS_AI

    Evaluation Score

    Overall rating on a scale of 0-10

    RiskReturn
    03.410
    Risk Level:
    Very High
    Recommendation:Avoid
    Evaluated:August 28, 2026 (v14)

    Dimension Breakdown

    Development Activity3.5
    Community Health1.5
    Tokenomics4.0
    Market & Use Case3.0
    Team & Governance5.0
    Security & AuditsN/A

    AI Analysis

    Comprehensive evaluation of the token

    TAI (TARS AI) exhibits weak overall fundamentals across technical, market, and community dimensions. Active development is low-intensity and marketing-driven with an absence of verifiable code-level shipping evidence. Community engagement is near non-existent, reflected in an extremely thin holder base and undetectable social/governance activity. In tokenomics, TAI faces conflicting allocation disclosures across sources, unverified circulating supply/unlock schedules, and lack of deflationary mechanisms. Market metrics show severe distress, with the token trading down approximately 98.90% from its all-time high with thin liquidity and a deep long-tail market cap ranking. While the team is public with relevant AI backgrounds and no confirmed protocol exploits, governance is inactive and network deployment documentation is inconsistent. A significant data gap exists in Security and Audit History (-1.0), as search data lacked token-specific coverage for audits, security incidents, or exchange actions, requiring its exclusion from the weighted average.

    Development Activity

    Code updates and developer engagement

    RiskReturn
    03.510

    Community Support

    Social media presence and community engagement

    RiskReturn
    01.510

    Tokenomics

    Supply, distribution, and utility

    RiskReturn
    04.010

    Market & Use Case

    Value proposition and competitive landscape

    RiskReturn
    03.010

    Team & Governance

    Team background and project governance

    RiskReturn
    05.010

    Security & Audits

    Security history and audit status

    Insufficient Data

    About TARS AI (TAI)

    TARS AI (TAI) is an artificial intelligence-driven Web3 modular infrastructure protocol primarily operating on the Solana blockchain, with an additional deployment on Ethereum. The project is led by a public team, including CEO Ish Jindal and CTO Vinit Agrawal, and is designed to provide access to artificial intelligence services, staking mechanisms, and transaction fee settlements within its ecosystem.

    The TAI token has a total supply capped at 1 billion units. Its designated utilities include network payments, staking, and governance voting, although active on-chain decentralized autonomous organization (DAO) governance and proposals have not been observed in practice. Published tokenomics documentations feature discrepancies regarding token allocation breakdowns, unverified circulating supply figures, and a lack of published vesting details for the 15% team allocation.

    TAI has experienced significant market contraction, with its price declining approximately 98.90% from its all-time high of $0.4937 toward historic lows near $0.004527. The protocol maintains a small on-chain user base, characterized by approximately 135 holders on its Ethereum contract, minimal verifiable code shipping or audit confirmation data, and limited trading liquidity.

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