# TokenScope Rug Check — Crypto Token Safety Analysis

> 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

## Facts

- Endpoint: POST https://cryptxscopes.vercel.app/api/rugcheck?utm_source=zero.xyz
- Price: $0.2/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tokenscope-rug-check-crypto-token-safety-analysis-67a9e7b9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kgiilawDY5w0J0P8qIWcX

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability tokenscope-rug-check-crypto-token-safety-analysis-67a9e7b9 -d '<json body>'
```

Example prompt: Can you run a rug check on the crypto token PEPE2 and tell me if it looks like a scam or safe to buy?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "query"
 ],
 "properties": {
  "query": {
   "type": "string",
   "description": "query"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "success"
 ],
 "properties": {
  "data": {
   "type": "object"
  },
  "success": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tokenscope-rug-check-crypto-token-safety-analysis-67a9e7b9/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from cryptxscopes.vercel.app](https://www.zero.xyz/host/cryptxscopes.vercel.app/llms.txt)