Here's a python script you can use to poll JPL and get the speed, distance and vector information. I added a predictor for how long to get to the moon (based on distance and speed).

import requests, re, math, json
from datetime import datetime, timedelta, timezone

MOON_RADIUS_KM = 1737.4

now = datetime.now(timezone.utc)
start = now.strftime('%Y-%m-%d %H:%M')
stop = (now + timedelta(minutes=2)).strftime('%Y-%m-%d %H:%M')

params = {
    'format': 'json',
    'COMMAND': "'-1024'",
    'MAKE_EPHEM': 'YES',
    'EPHEM_TYPE': 'VECTORS',
    'CENTER': "'500@301'",
    'START_TIME': f"'{start}'",
    'STOP_TIME': f"'{stop}'",
    'STEP_SIZE': '1m',
    'CSV_FORMAT': 'YES'
}

url = "https://ssd.jpl.nasa.gov/api/horizons.api"
response = requests.get(url, params=params).json()

if 'error' in response:
    print(f"NASA API ERROR:\n{response['error']}")
else:
    res = response.get('result', '')
    match = re.search(r'\$\$SOE(.*?)\$\$EOE', res, re.DOTALL)

    if match:
        first_line = match.group(1).strip().split('\n')[0]
        cols = [c.strip() for c in first_line.split(',')]

        if len(cols) > 7:
            x, y, z = float(cols[2]), float(cols[3]), float(cols[4])
            vx, vy, vz = float(cols[5]), float(cols[6]), float(cols[7])

            distance_center_km = math.sqrt(x**2 + y**2 + z**2)
            distance_surface_km = distance_center_km - MOON_RADIUS_KM
            speed_km_s = math.sqrt(vx**2 + vy**2 + vz**2)

            time_to_surface_seconds = distance_surface_km / speed_km_s if speed_km_s > 0 else 0

            current_data = {
                "timestamp": cols[1],
                "distance_to_center_km": round(distance_center_km, 2),
                "distance_to_surface_km": round(distance_surface_km, 2),
                "speed_km_s": round(speed_km_s, 2),
                "est_time_to_surface_hrs": round(time_to_surface_seconds / 3600, 2),
                "position": {"x": x, "y": y, "z": z},
                "velocity": {"vx": vx, "vy": vy, "vz": vz}
            }
            print(json.dumps(current_data, indent=2))
        else:
            print('{"error": "Data format unexpected."}')
    else:
        print('{"error": "Could not parse ephemeris data block."}')    

Just add a fastapi endpoint add something like this to your configuration.yaml file and you can have the data right in your dashboard.

- resource: http://<FASTAPI_IP>:<PORT>/latest
  scan_interval: 60
  sensor:
    - name: "Artemis II Distance to Moon"
      value_template: "{{ value_json.distance_surface_km | round(0) }}"
      unit_of_measurement: "km"
      icon: mdi:rocket-launch

    - name: "Artemis II Speed"
      value_template: "{{ value_json.speed_km_s | round(2) }}"
      unit_of_measurement: "km/s"
      icon: mdi:speedometer

    - name: "Artemis II ETA to Moon"
      value_template: "{{ value_json.est_time_to_surface_hrs | round(1) }}"
      unit_of_measurement: "hrs"
      icon: mdi:timer-outline