Code Integration
Understand the technical framework behind KOL.exe.
Webhook & Validation
app.post('/webhook', async (req, res) => {
const data = req.body;
if (data[0]?.tokenTransfers && data[0].tokenTransfers.length > 0) {
const lastTransfer = data[0].tokenTransfers[data[0].tokenTransfers.length - 1];
const contractAddress = lastTransfer.mint;
const tokenAmount = parseFloat(lastTransfer.tokenAmount);
// Process transaction
await generateShillMessage(contractAddress, tokenAmount);
}
res.sendStatus(200);
});
DexScreener Integration
async function getTokenTicker(contractAddress, tokenAmount) {
const url = `https://api.dexscreener.io/latest/dex/tokens/${contractAddress}`;
const response = await axios.get(url);
if (response.data && response.data.pairs.length > 0) {
const pair = response.data.pairs[0];
const priceUsd = parseFloat(pair.priceUsd);
const totalValue = priceUsd * tokenAmount;
return totalValue >= 50 ? pair.baseToken.symbol : null;
}
return null;
}
LLM Message Generation
async function generateShillMessage(contractAddress, tokenAmount) {
const ticker = await getTokenTicker(contractAddress, tokenAmount);
if (!ticker) return;
const prompts = [
`Write a playful tweet about ${ticker}. End with CA: ${contractAddress}.`,
`Write a bold tweet predicting ${ticker} will 100x. End with CA: ${contractAddress}.`
];
const response = await openai.chat.completions.create({
model: 'gpt-4o',
messages: [{ role: 'user', content: prompts[0] }],
max_tokens: 100,
});
const shillMessage = response.choices[0].message.content.trim();
await postTweet(shillMessage, [ticker]);
}
Deflationary Mechanism
async function burnTokens(contractAddress, tokenAmount) {
const swapAmount = tokenAmount * 0.8; // 80% of received tokens
const kolTokens = await swapForKol(swapAmount);
await sendToBurnAddress(kolTokens);
}
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