curl -X POST https://api.getcatalog.ai/v2/agentic-search \
  -H "Content-Type: application/json" \
  -H "x-api-key: $CATALOG_API_KEY" \
  -d '{
    "query": "A Barbour jacket suitable for the office",
    "customer_profile": {
      "style": {
        "fit": "casual with a refined, creative edge",
        "avoid": [
          "large logos",
          "loud streetwear",
          "technical performancewear"
        ],
        "color": "prefers earth tones, neutrals, black",
        "aesthetic": [
          "minimal and cool"
        ],
        "silhouette": [
          "relaxed",
          "cropped",
          "unstructured"
        ]
      },
      "preferences": {
        "in_stock_only": true,
        "comfort_priority": true
      },
      "usage_context": {
        "activities": [
          "office",
          "coffee runs",
          "after-work events"
        ],
        "environment": "urban, mild climate",
        "travel_friendly": true,
        "durability_priority": true
      },
      "purchase_behavior": {
        "value": "distinctive, expressive pieces",
        "buying_frequency": "occasional, style-driven"
      }
    }
  }'

const response = await fetch('https://api.getcatalog.ai/v2/agentic-search', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'x-api-key': 'YOUR_API_KEY'
  },
  body: JSON.stringify({
    query: 'A popular Barbour jacket to wear to the office',
    customer_profile: {
      style: {
        fit: 'elevated casual with artistic flair',
        avoid: [
          'flashy logos',
          'overt streetwear',
          'overly techy sportswear'
        ],
        color: 'prefers earth tones, neutrals, and black',
        aesthetic: [
          'understated cool'
        ],
        silhouette: [
          'loose',
          'cropped',
          'unstructured'
        ]
      },
      preferences: {
        in_stock_only: true,
        comfort_priority: true
      },
      usage_context: {
        activities: [
          'office',
          'coffee runs',
          'after work events'
        ],
        environment: 'urban, temperate climate',
        travel_friendly: true,
        durability_priority: true
      },
      purchase_behavior: {
        value: 'unique and expressive pieces',
        buying_frequency: 'occasional, style-driven purchases'
      }
    }
  })
});

const data = await response.json();
console.log(`Search started with execution ID: ${data.execution_id}`);
console.log(`Credits used: ${data.meta.credits_used}`);

// Poll for results: GET /v2/agentic-search/{execution_id}

import requests

response = requests.post(
    'https://api.getcatalog.ai/v2/agentic-search',
    headers={
        'Content-Type': 'application/json',
        'x-api-key': 'YOUR_API_KEY'
    },
    json={
        'query': 'A popular Barbour jacket to wear to the office',
        'customer_profile': {
            'style': {
                'fit': 'elevated casual with artistic flair',
                'avoid': [
                    'flashy logos',
                    'overt streetwear',
                    'overly techy sportswear'
                ],
                'color': 'prefers earth tones, neutrals, and black',
                'aesthetic': [
                    'understated cool'
                ],
                'silhouette': [
                    'loose',
                    'cropped',
                    'unstructured'
                ]
            },
            'preferences': {
                'in_stock_only': True,
                'comfort_priority': True
            },
            'usage_context': {
                'activities': [
                    'office',
                    'coffee runs',
                    'after work events'
                ],
                'environment': 'urban, temperate climate',
                'travel_friendly': True,
                'durability_priority': True
            },
            'purchase_behavior': {
                'value': 'unique and expressive pieces',
                'buying_frequency': 'occasional, style-driven purchases'
            }
        }
    }
)

data = response.json()
execution_id = data['execution_id']
print(f"Search started with execution ID: {execution_id}")
print(f"Credits used: {data['meta']['credits_used']}")

# Poll for results: GET /v2/agentic-search/{execution_id}

{
  "execution_id": "agentic-a1b2c3d4-1735123456789",
  "status": "pending",
  "meta": {
    "credits_used": 25
  }
}