Irisnet API

// Perform sentiment analysis
const text = 'I absolutely love this product!';
const response = await fetch('https://irisnet.de/api', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'X-Api-Key': 'YOUR_API_KEY'
  },
  body: JSON.stringify({ text })
});
const result = await response.json();
console.log('Sentiment:', result.sentiment || result.label || result);

// Classify text or data with ML
const headers = { 'X-Api-Key': 'YOUR_API_KEY' };
const response = await fetch('https://irisnet.de/api', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    ...headers
  },
  body: JSON.stringify({ input: 'Sample text to classify' })
});
const data = await response.json();
console.log('Classification:', data.category || data.label || data);

// Use ML model for predictions
const headers = { 'X-Api-Key': 'YOUR_API_KEY' };
const inputData = { features: [1.0, 2.5, 3.2] };
const response = await fetch('https://irisnet.de/api', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    ...headers
  },
  body: JSON.stringify(inputData)
});
const prediction = await response.json();
console.log('Prediction:', prediction.result || prediction);