Solana Meme Analyzer

Solana Meme Token Analyzer

Detects insider wallets and concentration risk for Solana meme tokens using on-chain data from DexScreener and Solana RPC nodes. Works without API keys (using public RPC), but a free Helius API key dramatically improves reliability.

Paid API (Recommended for Agent Use)

A hosted version of this skill is available as a pay-per-request API via x402 micropayments. No setup required — just call the endpoint and pay $0.02 USDC per analysis.

# Check payment requirements
npx awal@latest x402 details https://solana-meme-analyzer-production.up.railway.app/analyze?ca=TOKEN_CA

# Make a paid request (auto-pays from your wallet)
npx awal@latest x402 pay "https://solana-meme-analyzer-production.up.railway.app/analyze?ca=TOKEN_CA"

Payment is settled instantly on Base chain. No API keys or subscriptions needed.

Self-Hosted Setup

Prerequisites

Install Python dependencies from the skill directory:

pip install -r {baseDir}/requirements.txt

Optional but recommended — set your Helius API key for stable RPC access:

export HELIUS_API_KEY=your_key_here

Get a free key at https://helius.xyz/ (no credit card required).

Usage

Basic analysis (interactive)

python3 {baseDir}/scripts/psdm.py

Then paste the token CA when prompted.

Analysis with a CA argument

python3 {baseDir}/scripts/psdm.py <TOKEN_CA>

Analysis with JSON output (for agent use)

python3 {baseDir}/scripts/psdm.py <TOKEN_CA> --json

Output Explained

Table columns

Wallet classifications

Risk levels (JSON output)

JSON Output Format

When --json is passed, structured data is printed after the table:

{
  "token": {
    "symbol": "PEPE",
    "price_usd": "0.00001234",
    "liquidity_usd": 85000
  },
  "risk_level": "HIGH",
  "top10_concentration": 38.5,
  "suspicious_insider_count": 2,
  "warnings": [
    "发现 2 个疑似老鼠仓 (持币多但没钱)",
    "高度控盘！前10名持有 38.5%"
  ],
  "holders": [
    {
      "rank": 1,
      "address": "AbCd...XyZw",
      "percent": 12.3,
      "tag": "疑似老鼠仓 (SOL:0.001)",
      "sol_balance": 0.001
    }
  ]
}

Examples

Check a token for rug risk

python3 {baseDir}/scripts/psdm.py EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v

Get machine-readable output

python3 {baseDir}/scripts/psdm.py EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v --json

With a Helius key for best results

HELIUS_API_KEY=your_key python3 {baseDir}/scripts/psdm.py <TOKEN_CA> --json

Interpreting Results

When to AVOID a token:

• suspicious_insider_count > 0 (insider wallets present)
• top10_concentration > 40% (too centralized)
• risk_level is HIGH or EXTREME

Reasonably safe signals:

• LP pool is the largest holder
• top10_concentration < 25%
• No ⚠️ 疑似老鼠仓 entries
• risk_level is LOW

Agent Usage Notes

• Always use --json flag for programmatic access to structured data
• The script auto-rotates through multiple RPC nodes on 429 rate-limit errors
• Without HELIUS_API_KEY, large/popular tokens may fail on getTokenLargestAccounts
• Analysis of ~12 wallets takes 5–15 seconds due to per-wallet RPC calls

Troubleshooting

"无法获取持仓" error: Set HELIUS_API_KEY — public RPC nodes reject this call for tokens with many holders.

Slow analysis: Normal. The script checks each wallet's SOL balance individually to detect insiders.

"DexScreener 未找到数据": The token CA is invalid, or the token is too new (<5 min old) to be indexed.