This tool is no longer present in the server's latest manifest. Showing the last observed version (server version 3.3.0).
waveguard_token_risk
InactiveTool of WaveGuard
declared in 3.3.0
Assess crypto token legitimacy risk. Send metrics from known-good tokens as training (price, volume, holders, liquidity, market_cap, age_days, etc.) and suspect tokens as test. Detects pump-and-dump patterns, fake metrics, and anomalous token profiles. Example: Pull CoinGecko data for 20 established tokens → train. Test a new token → get risk score and which metrics are suspicious.
Parameters schema
{
"type": "object",
"required": [
"training",
"test"
],
"properties": {
"test": {
"type": "array",
"minItems": 1,
"description": "1+ suspect token metric objects to evaluate."
},
"training": {
"type": "array",
"minItems": 2,
"description": "3+ known-good token metric objects. Each should include fields like price, volume_24h, market_cap, holders, liquidity, age_days, etc."
},
"sensitivity": {
"type": "number",
"description": "Risk sensitivity (default: 1.5). Higher = more flags."
}
}
}Parent server
WaveGuard
https://github.com/gpartin/LFMAnomalyDetection
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