Lattiq x402 Trading Signals
MCP server for regime-aware futures trading signals. Pay per-request in USDC via x402 micropayments on Base network.
Live at https://api.lattiq.ai
What It Does
Lattiq provides quantitative trading intelligence for ES1 and NQ futures through a 5-state Hidden Markov Model and 15+ battle-tested strategies.
| Endpoint | Method | Price | Description |
|---|---|---|---|
/regime | GET | $0.01 | Current HMM regime state (bull/bear/neutral/volatile/crash) |
/signal | GET | $0.02 | Latest strategy signal with entry/exit levels |
/backtest | POST | $0.10 | Full walk-forward backtest with Monte Carlo |
/monte-carlo | POST | $0.05 | Monte Carlo simulation on equity curves |
/correlation | GET | $0.02 | ES1/NQ correlation and divergence analysis |
/market-brief | GET | $0.05 | Data-driven market analysis |
/health | GET | Free | API health check |
How It Works
All paid endpoints use the x402 protocol. AI agents pay automatically in USDC on Base network — no API keys, no subscriptions, no accounts.
GET https://api.lattiq.ai/regime
→ 402 Payment Required
→ { "accepts": [{ "network": "base", "currency": "USDC", "amount": "0.01" }] }
GET https://api.lattiq.ai/regime
X-PAYMENT: <x402-payment-header>
→ 200 OK
→ { "regime": "bullish", "confidence": 0.87, ... }
MCP Integration
Add Lattiq to any MCP-compatible AI agent:
Manifest URL: https://api.lattiq.ai/.well-known/mcp/manifest.json
Available tools:
get_regime— Current market regime classificationget_signal— Latest trading signalrun_backtest— Walk-forward backtest with custom parametersrun_monte_carlo— Monte Carlo equity simulationget_correlation— Cross-asset correlation analysisget_market_brief— Comprehensive market analysis
Discovery
- MCP Manifest: https://api.lattiq.ai/.well-known/mcp/manifest.json
- x402 Descriptor: https://api.lattiq.ai/.well-known/x402.json
- Health Check: https://api.lattiq.ai/health
Technical Details
- Payment network: Base (Ethereum L2)
- Currency: USDC
- Wallet:
0x1624FCE53E0419C32eB3b62B139AcC8bb8fCDE4C - Regime model: 5-state Hidden Markov Model retrained per fold
- Strategies: 15 quantitative strategies including squeeze momentum, regression channels, market structure
- Data: ES1/NQ futures (hourly and daily timeframes)
Contact
- Email: api@lattiq.ai
- Website: https://api.lattiq.ai