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Riehnbean

XRPL Token Guard

by Riehnbean

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    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants to assess the risk of crypto wallets, tokens, and smart contracts by providing read-only on-chain analysis, 0-100 risk scoring with explanations, fund tracing, and contract inspection before interaction.
      6
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Gives AI trading agents machine-readable trust and risk verdicts on Solana by checking whether a wallet's realized PnL makes it worth copying, where its funds came from, whether a token is structurally safe, and what a given trade size would really cost in slippage. Exposes these four checks as MCP tools callable against a hosted x402 pay-per-call API, so agents can hard-stop bad trades without RPC keys, signup, or local setup.
      1
      MIT
    • 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
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to check an EVM address on Base for risk (safe, caution, danger) before sending funds, with reasons, paid per call via x402 from the user's own wallet.
      6
      263 npm
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides counterparty risk checks for any EVM address, returning malicious-history flags, tiered risk scoring, and plain-language summaries via x402 payment.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides typed onchain verdicts for EVM tokens with calibrated probabilities, enabling agents to make informed decisions on tokens such as ape, watch, or avoid, along with risk scores.
      7 npm
      3
      MIT