curl -X GET "https://starknet.impulse.avnu.fi/v3/tokens/0x053c91253bc9682c04929ca02ed00b3e423f6710d2ee7e0d5ebb06f3ecf368a8/exchange-tvl"

// Get current TVL distribution for USDC
const tokenAddress = '0x053c91253bc9682c04929ca02ed00b3e423f6710d2ee7e0d5ebb06f3ecf368a8';

const response = await fetch(
  `https://starknet.impulse.avnu.fi/v3/tokens/${tokenAddress}/exchange-tvl`
);

const tvlData = await response.json();

// Display liquidity distribution
const totalTvl = tvlData.reduce((sum, item) => sum + item.valueUsd, 0);
console.log(`Total TVL: $${totalTvl.toLocaleString()}`);
console.log(`Distributed across ${tvlData.length} exchanges:\n`);

tvlData.sort((a, b) => b.valueUsd - a.valueUsd).forEach(item => {
  const share = (item.valueUsd / totalTvl) * 100;
  const bar = '█'.repeat(Math.floor(share / 2));
  console.log(`${item.exchange.padEnd(15)} ${bar} ${share.toFixed(1)}% ($${item.valueUsd.toLocaleString()})`);
});

import requests
import matplotlib.pyplot as plt

token_address = '0x053c91253bc9682c04929ca02ed00b3e423f6710d2ee7e0d5ebb06f3ecf368a8'

response = requests.get(
    f'https://starknet.impulse.avnu.fi/v3/tokens/{token_address}/exchange-tvl'
)

tvl_data = response.json()

# Create pie chart of TVL distribution
exchanges = [item['exchange'] for item in tvl_data]
values = [item['valueUsd'] for item in tvl_data]
total_tvl = sum(values)

plt.pie(values, labels=exchanges, autopct='%1.1f%%')
plt.title(f'TVL Distribution - Total: ${total_tvl:,.0f}')
plt.show()