RugGuard Pre-Trade Rug Check API is a paid API for AI agents from rugguard.redfleet.fr, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Scans a crypto smart contract on Base or Solana for rug pull risk signals, returning a 0–100 risk score, verdict, and specific heuristic flags
Pay-per-call rug check for crypto smart contracts. Built for AI agents on Agentic.market (x402). USDC fractional pricing, no API key.
Returns a JSON object with a 0–100 integer risk score (0=safe, 100=critical), a verdict string (safe/low_risk/medium_risk/high_risk/critical/uncertain), an array of heuristic flags with severity levels (low/medium/high/critical), a summary object covering honeypot status, LP lock, mint authority, owner renounced, buy/sell tax percentages, and top-10 holder concentration, plus a scan ID, timestamp, and cache hit indicator.
GEThttps://rugguard.redfleet.fr/v1/scan/%7Bchain%7D/%7Bcontract%7DUse this endpoint when an AI agent needs a fast, pay-per-call rug pull risk assessment for a specific smart contract on Base or Solana before executing or recommending a token purchase. Prefer it over manual on-chain analysis when speed and structured output (score + flags) are needed. It requires no API key — only a per-call x402 USDC micropayment — making it ideal for agentic workflows that need deterministic risk gating without subscription overhead.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "object",
"example": {
"chain": "base",
"flags": [
{
"code": "OWNER_NOT_RENOUNCED",
"severity": "high"
},
{
"code": "TOP10_CONCENTRATION_HIGH",
"severity": "high"
}
],
"score": 62,
"scan_id": "01J9-aaaa-bbbb-cccc-dddddddddddd",
"summary": {
"honeypot": false,
"lp_locked": true,
"owner_renounced": false,
"source_verified": true,
"top10_concentration_pct": 71.4
},
"verdict": "medium_risk",
"contract": "0x4ed4E862860beD51a9570b96d89aF5E1B0Efefed",
"cache_hit": false,
"disclaimer": "Data analytics best-effort, not a security guarantee.",
"scanned_at": "2026-05-17T00:00:00+00:00",
"score_confidence": "high",
"rug_probability_30d": 0.41
}
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