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CryptoGuard

Crypto risk scanner that detected every major crash in backtesting — 27 days early, on average.

Scan any token by name, ticker, or contract address. Get a deterministic verdict: PROCEED / CAUTION / BLOCK.

Version: 0.6.0  |  Live API: https://gpartin--cryptoguard-api-fastapi-app.modal.run  |  Free tier: 5 calls/day  |  MCP: 7 tools


Backtest Results

Tested against 7 historical crypto crashes (LUNA, FTX, Celsius, 3AC, UST, SOL/FTX, TITAN) and 4 calm-market control periods. Full methodology and data: CryptoGuard backtest.

Method Recall Avg Lead Time False Positive Rate
CryptoGuard (WaveGuard engine) 100% (7/7) 27.4 days 6.1%
Z-score baseline 100% (7/7) 28.4 days 29.9%
Rolling volatility 86% (6/7) 15.5 days 4.0%

5× fewer false alarms than statistical baselines with the same recall.

Example: FTX Collapse (November 2022)

On October 16, 2022, FTT was trading at $23.73. Z-score analysis saw nothing (score 1.20, PROCEED).

CryptoGuard flagged CAUTION (anomaly score 4.72). The next day it escalated to BLOCK.

23 days later, FTX collapsed. FTT fell 94%.


Install

pip install CryptoGuardClient

Quick Start

from cryptoguard import CryptoGuardClient

client = CryptoGuardClient()

# Validate a trade — primary use case
result = client.validate_trade("bitcoin", action="buy", amount_usd=1000)
print(result["verdict"])  # PROCEED / CAUTION / BLOCK

# Scan a token
scan = client.scan("solana")
print(scan["risk_level"])

# Rug pull check
rug = client.rug_check("solana", "0xabc123...")
print(rug["risk_score"])

# Check free tier remaining
print(client.free_tier())

Primary Endpoint

curl -X POST https://gpartin--cryptoguard-api-fastapi-app.modal.run/v1/validate-trade \
  -H "Content-Type: application/json" \
  -d '{"token": "solana", "action": "buy", "amount_usd": 500}'

First 5 calls/day are free. After that: $0.05/call via x402 USDC, or via RapidAPI.

MCP Integration (Claude Desktop / AI Agents)

CryptoGuard is an MCP server with 7 tools. Works with Claude Desktop, Cursor, or any MCP client.

Option 1: Remote HTTP (no install)

{
  "mcpServers": {
    "cryptoguard": {
      "url": "https://gpartin--cryptoguard-api-fastapi-app.modal.run/mcp",
      "transport": "http"
    }
  }
}

Option 2: uvx

{
  "mcpServers": {
    "cryptoguard": {
      "command": "uvx",
      "args": ["--from", "CryptoGuardClient", "cryptoguard-mcp"]
    }
  }
}

Option 3: pip install

{
  "mcpServers": {
    "cryptoguard": {
      "command": "python",
      "args": ["-m", "mcp_server.server"]
    }
  }
}

MCP Tools

Tool Description
cryptoguard_validate_trade Validate a trade → PROCEED / CAUTION / BLOCK
cryptoguard_scan_token Anomaly scan for any token
cryptoguard_validate_trade_plus Premium stateless decision bundle with what-if analysis
cryptoguard_counterfactual_trade What-if sensitivity analysis with tipping-point guidance
cryptoguard_rug_check DEX pair rug pull risk assessment
cryptoguard_search Search tokens by name/symbol/address
cryptoguard_health Service health check

All Endpoints

Method Endpoint Price Description
POST /v1/validate-trade 5 free/day, then $0.05 Primary — single verdict for AI agents
POST /v1/validate-trades 5 free/day, then $0.05 Batch validate up to 20 trades
GET /v1/scan/{coin_id} 5 free/day, then $0.05 Single token anomaly scan
POST /v1/portfolio/scan 5 free/day, then $0.05 Portfolio batch scan (up to 50 tokens)
GET /v1/scan/{coin_id}/history 5 free/day, then $0.05 Historical self-comparison
GET /v1/rug-check/{chain}/{pair_address} 5 free/day, then $0.05 Rug pull risk assessment
GET /v1/dex/new-pairs 5 free/day, then $0.05 New DEX pair discovery
GET /v1/dex/search 5 free/day, then $0.05 DexScreener pair search
GET /v1/dex/pair/{chain}/{pair_address} 5 free/day, then $0.05 DEX pair details
GET /v1/dex/token/{token_address} 5 free/day, then $0.05 DEX token info
POST /v1/intel/validate-trade-plus $0.10/call Premium stateless decision bundle
POST /v1/intel/counterfactual-trade $0.08/call What-if sensitivity analysis
GET /v1/track-record Free Historical prediction track record
POST /v1/trend-detect 5 free/day, then $0.05 Physics-based trend detection
POST /v1/regime-detect 5 free/day, then $0.05 Regime change detection
POST /v1/correlation-scan 5 free/day, then $0.05 Anomalous correlation detection
POST /v1/volatility-forecast 5 free/day, then $0.05 Physics-based volatility forecast
POST /v1/spectral-scan 5 free/day, then $0.05 Hidden periodicity detection
POST /v1/whale-detector 5 free/day, then $0.05 Whale activity detection
POST /v1/momentum-pulse 5 free/day, then $0.05 Momentum pulse detection
GET /v1/search?q=... Free Search tokens by name
GET /v1/free-tier Free Check remaining free calls
GET /v1/pricing Free Pricing details
GET /v1/stats Free Service statistics
GET /health Free Health check
POST /mcp Free MCP endpoint (JSON-RPC 2.0)
GET /mcp/tools Free List MCP tools
GET /v1/agent/tools Free Agent tool catalog
GET /v1/agent/mcp Free MCP server metadata

How It Works

  1. Resolves token input — CoinGecko ID, ticker symbol, or contract address (7 chains)
  2. Fetches live market data from CoinGecko + DexScreener
  3. Builds baseline from tier-matched peers (microcaps vs microcaps, large caps vs large caps)
  4. Extracts 10 time-series features per day (price ratios, volume dynamics, momentum, volatility)
  5. Runs anomaly detection — GPU-accelerated WaveGuard engine scores each token against its peer baseline
  6. Multi-check pipeline: peer scan + rug pull + history + CEX/DEX spread + concentration risk
  7. Returns verdict: PROCEED / CAUTION / BLOCK with anomaly scores and top contributing features
About the detection engine

CryptoGuard's core scanner is powered by WaveGuard, a general-purpose anomaly detection engine that uses GPU-accelerated wave simulations instead of machine learning. Your token's feature vector is encoded onto a 3D lattice and evolved through coupled wave equations. Normal data produces stable wave patterns; anomalous data produces divergent ones.

The advantage over statistical methods: WaveGuard captures non-linear interactions between features that simple threshold checks miss. This is why it flagged FTT 13 days before z-score analysis in backtesting.

No model training, no drift, no retraining. Deterministic for the same input.

Key Features (v0.6.0)

  • Backtested: 100% recall on 7 historical crashes with 27-day average lead time
  • Free tier: 5 calls/day per IP, no signup required
  • 2 payment options: x402 USDC per-scan ($0.05) or RapidAPI plans
  • Deterministic: Same input always produces same verdict
  • MCP server: 7 tools for AI agent integration (stdio + HTTP)
  • Python SDK: pip install CryptoGuardClient with typed exceptions
  • Physics Intelligence: 7 endpoints for trend/regime/volatility/spectral/whale/momentum analysis
  • Intel endpoints: Premium validate-trade-plus ($0.10) and counterfactual-trade ($0.08)
  • Contract resolution: Accepts name, ticker, or contract address across 7 chains
  • Batch validation: Up to 20 trades or 50 tokens per call
  • Rug pull detection: DexScreener-powered liquidity and holder analysis
  • 30 REST endpoints: Complete crypto risk intelligence API

Pricing

Tier Cost Limit Auth
Free $0 5 calls/day per IP None
Per-scan $0.05/call Unlimited x402 USDC micropayment
RapidAPI Basic $0/mo 500K requests RapidAPI proxy key
RapidAPI Pro $9.99/mo 10K requests RapidAPI proxy key
RapidAPI Ultra $29.99/mo 100K requests RapidAPI proxy key

Architecture

AI Agent / User
    |
    v
CryptoGuard API (Modal, stateless)
    |-- MCP endpoint (7 tools, JSON-RPC 2.0)
    |-- Auth: RapidAPI → API key → x402 (USDC) → Free tier
    |-- Token resolution (name/ticker/address → CoinGecko ID, 7 chains)
    |-- Market data (CoinGecko + DexScreener, cached)
    |-- Physics Intelligence (trend, regime, correlation, volatility, spectral, whale, momentum)
    |-- Intel (validate-trade-plus, counterfactual-trade)
    +-- WaveGuard anomaly engine (GPU-accelerated)

License

MIT

Metadata

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