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Alternatives to VetAgent

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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Token safety oracle for AI agents. Honeypot detection, 17 scam pattern checks, LP lock verification across 6 EVM chains. Score 0-100 with risk flags. ERC Token Safety Score standard.
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Checks token contract safety for honeypot, tax, proxy, blacklist, ownership risks, and returns a risk score, enabling rug-pull protection for agents via pay-per-call x402 micropayments.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents on Base to call a check_token_risk tool before trading, providing honeypot detection, LP-lock verification, brand impersonation checks, and live sell simulation across Uniswap V2/V3/V4 and Aerodrome with a clear risk score and should-trade decision.
      1
      11 npm
      MIT
    • -
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables AI agents to perform token risk checks across BNB Smart Chain, Ethereum, Base, and Arc by simulating real buys and sells plus 70+ contract checks, with tools for reports, feeds, trade simulation, liquidity analysis, and fund tracing. Successful paid calls settle automatically in USDC on Base via x402, with no account or API key required.
      -
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants to check whether a crypto token, link, or forwarded "gem" message is a scam by running contract rules, live test trades, creator history, and market data across 64 networks, returning plain-English or Pidgin verdicts. Also supports scanning messages, reviewing a token's past checks, and explaining individual findings.
      5
      MIT

    TDQS

    A4.5/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct stage in the token-vetting workflow: discovery of new pools, risk assessment, and liquidity snapshot. Although assess_token_risk and get_token_liquidity both touch liquidity, their purposes and outputs are clearly separated (verdict vs. market data).

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern: find_new_hot_pools, assess_token_risk, get_token_liquidity. The verbs are descriptive and the object nouns clearly identify the target resource.

    Tool Count5/5

    Three tools is well-scoped for a focused vetting agent: one discovery entry point, one risk-check entry point, and one liquidity-data entry point. No tool is redundant and none is missing from the core workflow.

    Completeness4/5

    The set covers the full discovery-to-risk-to-liquidity pipeline with no dead ends. Minor gaps exist, such as no historical-tracking or token-profile/summary tool beyond the risk check, but agents can work around them.

    Maintenance

    ActivityActive
    ResponsivenessNo recent community issues