RugShield Token Risk API is a paid API for AI agents from getrugshield.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Returns risk flags and a verdict for a given Solana token address, including deployer stats and rug pull indicators
RugShield aggregates Solana risk checks: one API call runs independent advisors in parallel, plus our own code-based flags. Pay in USDC via x402.
A JSON object containing the token mint address, a verdict string (e.g. RISK_FLAGS or CLEAN), an array of risk flags each with an ID, detail, sample data, measured precision, and false positive rate, deployer address, token name and symbol, deployer stats (graduation rate and tokens launched), and a list of checks that were unavailable.
GEThttps://getrugshield.com/v1/token-risk/%7Baddress%7D?utm_source=zero.xyzUse this endpoint when an agent needs a fast, per-token risk signal for a specific Solana mint address before executing a buy, especially for pump.fun tokens. It is best suited for single-token lookups with high-precision flag data and deployer history. Prefer the multi-advisor aggregator endpoint (RugShield Solana Risk Panel) when you want consensus from multiple independent advisors rather than a single-source verdict.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"mint": "EXAMPLEm1ntAddress1111111111111111111pump",
"note": "No flag does not mean safe. These advisory signals were evaluated on selected historical tokens and can miss rugs.",
"flags": [
{
"id": "FACTORY_DEPLOYER",
"detail": "deployer launched 24,310 tokens, 0.4% graduated",
"sample": "149 rugs + 49 healthy tokens (2026-05; threshold selected on this cohort)",
"measured_precision": 0.889,
"false_positive_rate": 0.02
}
],
"verdict": "RISK_FLAGS",
"deployer": "EXAMPLEdep1oyerWa11etAddress1111111111111",
"token_name": "Example",
"token_symbol": "EXM",
"deployer_stats": {
"graduation_rate": 0.004,
"tokens_launched": 24310
},
"checks_unavailable": []
}
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