Planned API Architecture

# Planned REST API request format for integrating vehicle history data
curl -X GET "https://api.vehiclehistorydata.com/v1/vehicle/1HGCM82633A123456" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Accept: application/json"

# Planned Python integration workflow
import os
import requests

api_key = os.getenv("VEHICLE_DATA_API_KEY")
vin = "1HGCM82633A123456"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Accept": "application/json"
}

response = requests.get(
    f"https://api.vehiclehistorydata.com/v1/vehicle/{vin}",
    headers=headers
)

data = response.json()
print("Status:", data.get("status"))

// Planned Node.js fetch integration workflow
const apiKey = process.env.VEHICLE_DATA_API_KEY;
const vin = '1HGCM82633A123456';

async function fetchVehicleData(vin) {
  const res = await fetch(`https://api.vehiclehistorydata.com/v1/vehicle/${vin}`, {
    headers: {
      'Authorization': `Bearer ${apiKey}`,
      'Accept': 'application/json'
    }
  });

  return await res.json();
}

{
  "meta": {
    "status": "planned_schema",
    "type": "illustrative_example",
    "disclaimer": "Illustrative Example — Actual schema and fields depend on the configured data provider"
  },
  "query": {
    "vin": "1HGCM82633A123456",
    "sample_mode": true
  },
  "vehicle_data_model": {
    "specifications": {
      "year": "Model Year",
      "make": "Manufacturer",
      "model": "Model Name",
      "body_type": "Body Class"
    },
    "history_records": {
      "title_brands": "DMV title status fields",
      "odometer_history": "Mileage inspection records",
      "reported_events": "Chronological event records"
    }
  }
}