from atomscale import Client

client = Client(api_key="YOUR_API_KEY")
results = client.get(data_ids="d290f1ee-6c54-4b01-90e6-d701748f0851")
xps = results[0]  # XPSResult
print(xps.predicted_composition)
print(xps.detected_peaks)

import requests

response = requests.get(
    "https://api.atomscale.ai/xps/d290f1ee-6c54-4b01-90e6-d701748f0851",
    headers={"X-API-KEY": "YOUR_API_KEY"}
)
xps_data = response.json()

curl "https://api.atomscale.ai/xps/d290f1ee-6c54-4b01-90e6-d701748f0851" \
  -H "X-API-KEY: YOUR_API_KEY"

{
  "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
  "xps_id": "xps_001",
  "binding_energies": [0, 10, 20, 30],
  "intensities": [1000, 1200, 1100, 900],
  "predicted_composition": {"Ga": 0.485, "As": 0.472, "O": 0.031, "C": 0.012},
  "composition_uncertainty": {"Ga": 0.02, "As": 0.02, "O": 0.01, "C": 0.005},
  "set_elements": [],
  "predicted_elements": ["Ga", "As", "O", "C"],
  "predicted_formula": "GaAs",
  "detected_peaks": [{"element": "Ga3d", "position": 19.2}],
  "dict_formula": {"Ga": 1, "As": 1},
  "last_updated": "2024-01-15T10:35:00Z"
}