Build fleet intelligence into your product.

// Get risk-ranked fleet and act on critical vehicles
const fleet = await fetch('https://your-app.railway.app/api/partner/fleet?minRisk=0.75', {
  headers: { 'X-API-Key': process.env.FLEET_AI_API_KEY },
}).then(r => r.json());

for (const vehicle of fleet.vehicles) {
  // riskProbability 0–1; ≥0.75 = critical
  const pred = await fetch('https://your-app.railway.app/api/partner/predict', {
    method: 'POST',
    headers: { 'X-API-Key': process.env.FLEET_AI_API_KEY, 'Content-Type': 'application/json' },
    body: JSON.stringify({ vehicleId: vehicle.vehicleId, samples: vehicle.latestSamples }),
  }).then(r => r.json());

  if (pred.riskProbability >= 0.75) {
    await createWorkOrder({ vehicleId: vehicle.vehicleId, advisoryText: pred.advisoryText });
  }
}

import os, requests

BASE = "https://your-app.railway.app/api/partner"
HEADERS = {"X-API-Key": os.environ["FLEET_AI_API_KEY"]}

# Get critical vehicles (riskProbability ≥ 0.75)
fleet = requests.get(f"{BASE}/fleet?minRisk=0.75", headers=HEADERS).json()

for vehicle in fleet["vehicles"]:
    pred = requests.post(f"{BASE}/predict", headers=HEADERS, json={
        "vehicleId": vehicle["vehicleId"],
        "samples": vehicle["latestSamples"],
    }).json()

    if pred["riskProbability"] >= 0.75:
        create_work_order(vehicle_id=vehicle["vehicleId"], advisory=pred["advisoryText"])