curl --request POST \
  --url https://api.tensormesh.ai/v1/admin/billing/spending/summary \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "userId": "<string>",
  "targetUserIds": [
    "<string>"
  ]
}
'

import requests

url = "https://api.tensormesh.ai/v1/admin/billing/spending/summary"

payload = {
    "userId": "<string>",
    "targetUserIds": ["<string>"]
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({userId: '<string>', targetUserIds: ['<string>']})
};

fetch('https://api.tensormesh.ai/v1/admin/billing/spending/summary', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "summaries": [
    {
      "userId": "<string>",
      "spend24h": {
        "currencyCode": "<string>",
        "units": "<string>",
        "nanos": 123
      },
      "spend7d": {
        "currencyCode": "<string>",
        "units": "<string>",
        "nanos": 123
      },
      "spend30d": {
        "currencyCode": "<string>",
        "units": "<string>",
        "nanos": 123
      }
    }
  ]
}

{
  "code": 123,
  "message": "<string>",
  "details": [
    {
      "@type": "<string>"
    }
  ]
}