🕵️ Zenix: Token Insider & Dev Audit (Solana/Base/ETH)

"Logic over Luck." 🧠
Stop gambling on memecoins. Audit them with data.

📖 Overview

Zenix Insider Audit is a high-performance forensic tool designed to analyze the holder distribution and trading history of any token on Solana, Ethereum, Base, or BSC.

Unlike generic scrapers, this Actor focuses on risk detection. It identifies Developer wallets, Insiders, and Snipers who often dump on retail traders. It calculates a risk score based on wallet tags, realized profits, and entry timing.

🚀 Key Features

• 🚨 Dev/Maker Detection: Instantly identifies the wallet that created the token and tracks its current holdings.
• ⚠️ Insider Tracking: Flags wallets tagged as "Insider" or "Pump Smart" that bought early with privileged information.
• 🤖 Sniper Identification: Detects bot-driven wallets that executed trades in the same block as the liquidity injection.
• 📊 PnL Forensics: Reveals the Realized and Unrealized profit of the top holders.
• 🛡️ Residential Proxy Support: Built-in routing to bypass GMGN.ai and Cloudflare protections seamlessly.

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⚙️ Input Parameters

The actor accepts the following input configuration:

Field	Type	Default	Description
network	String	sol	The blockchain network (sol, eth, base, bsc).
tokenAddress	String	Required	The contract address of the token to audit.
limit	Integer	50	Number of top wallets to analyze (Max recommended: 100).
proxyConfiguration	Object	Residential	Required. Apify Residential Proxy is mandatory for stability.

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📦 Output Structure (JSON)

The actor pushes detailed audit reports to the default dataset. Each item represents a high-interest wallet.

{
  "audit_id": "AUDIT-AuL5-8xFt",
  "token_address": "AuL5K...",
  "wallet_address": "8xFt...",
  "wallet_type": "⚠️ INSIDER",
  "risk_score": 70,
  "tags": ["insider", "high_pnl"],
  "holding": {
    "amount": 1500000,
    "percentage": "%1.50"
  },
  "performance": {
    "total_profit": "$12,450.00",
    "unrealized_profit": "$4,200.00",
    "buy_avg_price": 0.0004,
    "sell_avg_price": 0.0012
  },
  "activity": {
    "buy_tx_count": 2,
    "sell_tx_count": 5,
    "last_active": "2024-05-20T14:30:00"
  },
  "gmgn_link": "[https://gmgn.ai/address/8xFt...?chain=sol](https://gmgn.ai/address/8xFt...?chain=sol)"
}

🧠 Logic: Risk Scoring System Zenix uses a weighted scoring algorithm to classify wallets:

Dev/Maker: (Score +90) The creator of the contract. Highest risk of rug pull.

Insider: (Score +70) Wallets linked to the team or early private buyers.

Sniper: (Score +50) Bots that bought in the first seconds of trading.

Whale: (Score +10) Large holders with significant market impact.

👨‍💻 Programmatic Usage (Python Client) You can integrate this audit tool directly into your trading bots or dashboards using the Apify Client.

from apify_client import ApifyClient

Initialize the client

client = ApifyClient("YOUR_APIFY_TOKEN")

Prepare the Actor input

run_input = { "network": "sol", "tokenAddress": "AuL5K...", # Target Token "limit": 50, }

Run the actor and wait for it to finish

run = client.actor("YOUR_USERNAME/gmgn-insider-audit").call(run_input=run_input)

Fetch and print Actor results from the run's dataset (if there are any)

for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(f"Wallet: {item['wallet_address']} | Type: {item['wallet_type']} | Profit: {item['performance']['total_profit']}")

⚖️ Disclaimer This tool is for data analysis and educational purposes only. Cryptocurrency trading involves high risk. Zenix Data is not responsible for any financial losses. Always do your own research (DYOR).

📩 Contact & Support Zenix Data - Statistics over Faith. For custom data solutions or enterprise support, contact us via Apify.