waveguard token risk

Assess crypto token legitimacy risk. Send metrics from known-good tokens as training (price, volume, holders, liquidity, market_cap, age_days, etc.) and suspect

liveverifiedunknown~5s typical

mcpprobedwaveguard

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-com-emergentphysicslab-waveguard /waveguard_token_risk for me.

Input

Field	Type	Description
training*	array	3+ known-good token metric objects. Each should include fields like price, volume_24h, mar
test*	array	1+ suspect token metric objects to evaluate.
sensitivity	number	Risk sensitivity (default: 1.5). Higher = more flags.

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-com-emergentphysicslab-waveguard","endpoint":"/waveguard_token_risk","input":{"training":[],"test":[]}}'

cli

npx cracked-ai run -p mcp-com-emergentphysicslab-waveguard -e /waveguard_token_risk -i '{"training":[],"test":[]}'

mcp

run_tool({ provider: "mcp-com-emergentphysicslab-waveguard", endpoint: "/waveguard_token_risk", input: {"training":[],"test":[]} })

Try it

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