Documentation Index
Fetch the complete documentation index at: https://mintlify.com/alphaleaks60-maker/solvedocs2/llms.txt
Use this file to discover all available pages before exploring further.
Alpha Leak exposes a live signal feed and a set of REST endpoints. This guide covers connecting to both, understanding the three signal types the system emits, and reading a full annotated signal payload.
Base URL
All endpoints are available at your hosted instance URL. Replace your-instance throughout this guide with the host you’ve been given.
https://your-instance/api
Connect to the live feed
The primary interface is a Server-Sent Events stream that pushes signals, graduations, and anti-signals in real time as they occur on-chain. This is the fastest way to consume Alpha Leak data — no polling required.const es = new EventSource('https://your-instance/api/live/feed');
es.addEventListener('signal', (event) => {
const data = JSON.parse(event.data);
if (data.type === 'genesis_signal') {
// New token scored highly in its first 60 seconds
console.log('Genesis:', data.data.symbol, `score: ${data.data.genesisScore}`);
} else if (data.type === 'anti_signal') {
// Active token flagged — adversarial conditions detected
console.warn('Anti-signal:', data.data.tokenMint, data.data.reasons);
} else {
// Standard tracked-wallet signal
console.log('Signal:', data.data.tokenMint, data.data.action);
}
});
es.addEventListener('graduation', (event) => {
const token = JSON.parse(event.data);
console.log(`${token.symbol} graduated — ${token.volume} SOL total volume`);
});
es.onerror = () => {
// SSE clients reconnect automatically — no manual handling required
};
The stream sends a heartbeat event every 15 seconds to keep connections alive through proxies and load balancers.
Fetch recent data on load
Before the live stream has delivered events, use the /api/live/recent endpoint to populate your initial state.const res = await fetch('https://your-instance/api/live/recent?limit=20');
const { signals, graduations, largeTrades } = await res.json();
// signals — recent buy/sell signals with ML scores
// graduations — recently graduated tokens
// largeTrades — recent trades >= 1.0 SOL
Understand signal types
Alpha Leak emits three types of signals on the live feed. Each carries a different meaning and warrants a different response. signal
genesis_signal
anti_signal
A tracked wallet — one the system has built a quality profile for — has made a significant buy. The payload includes the wallet’s alpha score, ML probability score, token state, buy rank, velocity data, and creator risk.This is the primary signal type. A high-quality signal has a high alphaScore, a low buyRank, rising velocity, a low riskScore, low bundleConfidence, and a lifecycleState of momentum or early_accumulation.
A newly created token scored highly across the genesis model’s 75-feature vector during its first 60 seconds of life. No tracked wallet is required — this is purely based on launch dynamics.The Genesis Watcher observes every new token for 60 seconds, accumulates early buyer behaviour and price dynamics in memory, then runs a separate family of genesis models to identify tokens likely to 3x, 5x, or 10x shortly after launch.
A token with recent buy signals has triggered 2 or more adversarial detection rules simultaneously — for example, a coordinated bundle combined with a high bot-buyer percentage. Any system acting on the original signal should treat this as an exit cue.Anti-signals are time-sensitive. The live trader’s ExitMonitor polls every 3 seconds specifically to catch these. If you are building on top of the feed, handle anti_signal events before processing new signal events.
Query historical data
All historical signal, wallet, and token data is available via REST.// Signals with ML scores — paginated
const signals = await fetch('/api/signals?min_ml_score=0.80&limit=50').then(r => r.json());
// Tracked wallets with alpha scores
const wallets = await fetch('/api/wallets?min_alpha=70&active_only=true').then(r => r.json());
// Token data including lifecycle state and risk scores
const tokens = await fetch('/api/tokens?graduated=false').then(r => r.json());
// Current pipeline stats and market regime
const stats = await fetch('/api/stats').then(r => r.json());
Interpret a signal payload
Here is a full buy signal payload with annotations:{
"type": "signal",
"data": {
"tokenMint": "So11...", // Token being bought
"wallet": "ABC1...", // Wallet that triggered the signal
"action": "buy",
"solAmount": 0.5, // Size of this specific buy
"buyRank": 4, // This wallet was the 4th buyer on this token
"curvePct": 0.12, // Bonding curve is 12% filled
"curveSol": 8.3, // 8.3 SOL currently in the curve
"buysLast60s": 12, // 12 buys on this token in the last 60 seconds
"buysLast300s": 34, // 34 buys in the last 5 minutes
"walletStats": {
"alphaScore": 84, // Wallet quality score (0–100)
"graduationRate": 0.41, // 41% of tokens this wallet bought graduated
"winRate": 0.68, // 68% of positions closed in profit
"captureEfficiency": 0.72 // Captures 72% of available peak return on average
},
"tokenState": {
"lifecycleState": "momentum", // Token lifecycle classification
"riskScore": 18, // Token-level risk score (low = safer)
"bundleConfidence": 0.12, // Low bundle confidence — looks organic
"creatorRiskScore": 24 // Creator has a solid track record
}
}
}
A high-quality signal has: high alphaScore, low buyRank, rising velocity, low riskScore, low bundleConfidence, and a lifecycleState of momentum or early_accumulation.