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TokenScope Rug Check — Crypto Token Safety Analysis
x402
TokenScope Rug Check — Crypto Token Safety Analysis is a paid API for AI agents from cryptxscopes.vercel.app, paid per call via x402, $0.2/call, status unknown (last checked 2026-10-12).
Analyzes a crypto token or query for rug pull risk indicators using AI-powered analysis combining on-chain data and LLM reasoning
Price / call$0.2
Success—
StatusUnknown
How this service works
AI-powered crypto analysis. CoinGecko + DexScreener + MiMo LLM. 20 endpoints. x402 on Base.
Output
Returns a JSON object with a success boolean and a data object containing AI-generated rug pull risk assessment, safety indicators, and analysis derived from on-chain data (DexScreener, CoinGecko) processed through MiMo LLM reasoning — including red flags, risk scores, and a summary verdict on whether the token appears safe or suspicious.
Example use cases
New meme coin safety check
“I just heard about a new token called MOONDOG on Ethereum — can you rug check it and tell me if there are any red flags before I put any money in?”
DeFi project due diligence
“Before I provide liquidity to this DeFi pool, can you run a rug pull analysis on the token at address 0x1234abcd and summarize the risk level?”
Scam alert verification
“Someone in my crypto group is shilling a token called SAFEBLAST — can you do a rug check on it and let me know if it looks legitimate or like a typical pump-and-dump?”
Technical details
Endpoint
POSThttps://cryptxscopes.vercel.app/api/rugcheck?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need AI-augmented rug pull and scam detection for a specific crypto token, especially for newly launched or obscure tokens not yet covered by mainstream safety tools. Prefer this over raw on-chain queries when you want a synthesized risk verdict combining multiple data sources (CoinGecko liquidity data, DexScreener trading patterns, LLM reasoning) in a single call. Best for pre-investment due diligence on meme coins, new DeFi tokens, or any token being actively promoted in social channels.
Side effects
- Unknown or very new token with no on-chain data returns limited or empty analysis
- Ambiguous query string may return results for wrong token if address not specified
- API returns success:false if query parameter is missing or malformed
- Token on unsupported chains may not have sufficient data for analysis
- Rate limiting or payment failure (x402) results in 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| queryrequired | string | query |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| data | object | |
| successrequired | boolean |
Tags
x402
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