LedgerScanner - AI-Powered Crypto Scam Detection
RESTful API • WebSockets • 99.9% Uptime

Build With LedgerScanner API

Integrate advanced scam detection directly into your applications with our powerful, developer-friendly API.

Lightning Fast

Sub-20ms response times with global CDN distribution

Enterprise Security

OAuth 2.0, rate limiting, and encrypted connections

Real-time Updates

WebSocket support for live scam alerts and monitoring

Developer Friendly

SDKs for Python, JavaScript, Go, and more

Quick Start

Get up and running in minutes with our simple API

# Scan a token for scams
curl -X POST https://api.ledgerscanner.com/v1/scan \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "token_address": "So11111111111111111111111111111111111111112",
    "chain": "solana"
  }'

# Response
{
  "status": "success",
  "data": {
    "risk_score": 85,
    "risk_level": "high",
    "scam_indicators": {
      "honeypot": false,
      "rug_pull_risk": true,
      "bundle_detected": true,
      "wash_trading": false
    },
    "recommendations": "High risk - potential rug pull detected"
  }
}

API Endpoints

Complete reference for all available endpoints

POST /v1/scan

Scan Token

Core

Comprehensive scam detection analysis for any token

token_address chain deep_scan (optional)
GET /v1/whales/{token_address}

Track Whales

Premium

Monitor large holder movements and trading patterns

limit min_holdings timeframe
GET /v1/history/{token_address}

Historical Analysis

Premium

Access historical scam indicators and risk scores

start_date end_date interval
WS /v1/stream

Real-time Stream

Enterprise

WebSocket connection for live alerts and monitoring

subscribe filters events

Rate Limits & Pricing

Free Tier

  • 100 requests/day
  • Basic endpoints only
  • Community support

Business

  • 10,000 requests/day
  • All endpoints
  • Priority support

Enterprise

  • Unlimited requests
  • WebSocket access
  • Dedicated support

Ready to Build?

Start protecting your users with just a few lines of code