curl -X GET \
  "https://bouncer.nunu.ai/file-storage/my-project/test_case/t1t2t3?include_metadata=true" \
  -H "X-Api-Key: YOUR_API_TOKEN"

const projectId = "my-project";
const testCaseId = "t1t2t3";

const response = await fetch(
  `https://bouncer.nunu.ai/file-storage/${projectId}/test_case/${testCaseId}?include_metadata=true`,
  {
    headers: {
      "X-Api-Key": process.env.NUNU_API_TOKEN,
    },
  }
);
const data = await response.json();

import requests
import os

project_id = "my-project"
test_case_id = "t1t2t3"

response = requests.get(
    f"https://bouncer.nunu.ai/file-storage/{project_id}/test_case/{test_case_id}",
    headers={"X-Api-Key": os.environ["NUNU_API_TOKEN"]},
    params={"include_metadata": True},
)
data = response.json()

{
  "projectId": "my-project",
  "scope": "test_case",
  "testCaseId": "t1t2t3",
  "count": 1,
  "files": [
    {
      "filename": "expected-flow.md",
      "path": "expected-flow.md",
      "size": 2048,
      "uploaded": "2026-04-12T10:40:00.000Z",
      "etag": "2c3d4e5f60718a3b4c5d6e7f80909a1b",
      "metadata": {
        "description": "Expected user flow for this test",
        "summary": "Steps and acceptance criteria",
        "keywords": ["flow", "acceptance"]
      }
    }
  ]
}