# Base token honeypot and rug pull check

**Use case:** 

Honeypot and rug pull check for tokens on Base: simulated buy and sell, taxes, mint and blacklist functions, upgradeable proxy, liquidity and LP lock, with a plain-English risk summary. Example with DEGEN and BRETT; paste any BaseScan link.

## Input

```json
{
  "tokens": [
    "base:0x4ed4E862860beD51a9570b96d89aF5E1B0Efefed",
    "base:0x532f27101965dd16442E59d40670FaF5eBB142E4"
  ],
  "chain": "auto",
  "maxTokens": 50,
  "maxSearchResults": 5,
  "simulateTrades": true,
  "ageLookbackDays": 3,
  "rpcUrls": [],
  "customRpcUrls": {}
}
```

## Output

```json
{
  "symbol": {
    "label": "Token",
    "format": "string"
  },
  "chain": {
    "label": "Chain",
    "format": "string"
  },
  "chainNote": {
    "label": "Chain note",
    "format": "string"
  },
  "riskLevel": {
    "label": "Risk level",
    "format": "string"
  },
  "riskScore": {
    "label": "Risk score (0–100)",
    "format": "integer"
  },
  "riskSummary": {
    "label": "Summary",
    "format": "string"
  },
  "flagCodes": {
    "label": "Red flags",
    "format": "array"
  },
  "isKnownOfficialToken": {
    "label": "Official token",
    "format": "boolean"
  },
  "impersonates": {
    "label": "Copies the name of",
    "format": "string"
  },
  "tokenAgeDays": {
    "label": "Age (days)",
    "format": "number"
  },
  "top10HolderPctExclPools": {
    "label": "Top-10 holders %",
    "format": "number"
  },
  "explorerUrl": {
    "label": "Explorer link",
    "format": "string"
  },
  "error": {
    "label": "Error (not charged)",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Honeypot & Rug Pull Checker: Token Risk Scanner Actor is ready to run with the inputs already set for "Base token honeypot and rug pull check". [Sign up or log in](https://console.apify.com/create-task-from-example/TmD41DcTHh9uPuhuV) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Base token honeypot and rug pull check" task

The Honeypot & Rug Pull Checker: Token Risk Scanner Actor will start running based on the input automatically. You can also change all the input fields, like tokens to check, chain, and more, to match your specific use case.

### 3. Receive the "Base token honeypot and rug pull check" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as token, chain, chain note, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Base token honeypot and rug pull check" task via API](https://apify.com/alpine-data/token-risk-scanner.md).

## About this Actor

This example demonstrates how to use [Honeypot & Rug Pull Checker: Token Risk Scanner](https://apify.com/alpine-data/token-risk-scanner.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/alpine-data/token-risk-scanner.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/alpine-data/token-risk-scanner.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).