curl --request GET \
  --url https://voice-api.onclarity.com/v1/projects/{projectId}/agents/{agentId}/eval-submissions/{id} \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://voice-api.onclarity.com/v1/projects/{projectId}/agents/{agentId}/eval-submissions/{id}"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://voice-api.onclarity.com/v1/projects/{projectId}/agents/{agentId}/eval-submissions/{id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "submission": {
    "id": "sub_01J9",
    "project_id": "proj_123",
    "created_by": null,
    "agent_id": "agent_456",
    "judge_id": "judge_01",
    "suite_id": "suite_01",
    "name": "Booking regression 2026-10-22 14:00",
    "description": null,
    "runs_per_scenario": 2,
    "judge_concurrency": 5,
    "judge_max_retries": 3,
    "max_parallel_calls": 2,
    "status": "paused",
    "use_isolated_data": false,
    "simulator_audio_stack": "hamsa",
    "simulator_llm": "gemini",
    "simulator_silence_mode": "off",
    "simulator_model_config": null,
    "agent_version_id": "ver_789",
    "agent_version_number": 12,
    "error_message": null,
    "created_at": "2026-10-22T14:00:00.000Z",
    "updated_at": "2026-10-22T14:00:00.000Z",
    "judge": {
      "id": "judge_01",
      "name": "Default judge",
      "description": null,
      "model": "gemini-3.5-flash",
      "prompt_template": "…",
      "temperature": 0
    },
    "suite": {
      "id": "suite_01",
      "name": "Booking flows",
      "description": null,
      "scenario_ids": [
        "scn_01"
      ],
      "common_test_case_ids": [
        "tc_7f3a"
      ]
    },
    "scenarios": [
      {
        "id": "scn_01",
        "name": "Caller books for tomorrow",
        "description": null,
        "simulator_config": {
          "prompt": "You want to book a cleaning for tomorrow morning.",
          "max_turns": 20
        },
        "test_case_ids": [],
        "test_cases": []
      }
    ],
    "common_test_cases": [
      {
        "id": "tc_7f3a",
        "project_id": "proj_123",
        "name": "Confirms the booking",
        "description": null,
        "when_relevant": "The caller asked to book an appointment.",
        "success_criteria": "The agent repeats the date and time back and the caller confirms.",
        "failure_criteria": "The agent ends the call without confirming the date and time.",
        "created_by": null,
        "created_at": "2026-10-01T09:00:00.000Z",
        "updated_at": "2026-10-01T09:00:00.000Z"
      }
    ],
    "runs_completed": 0,
    "runs_total": 2,
    "judge_counts": {
      "pending": 0,
      "in_progress": 0,
      "done": 0,
      "error": 0,
      "error_final": 0,
      "unusable": 0
    }
  }
}

{
  "error": "Invalid or revoked token"
}

{
  "error": "Eval submission not found"
}

{
  "error": "agent type assist cannot take calls: an assist agent listens to a human-operated call and never speaks",
  "code": "AGENT_TYPE_NOT_DISPATCHABLE",
  "agent_type": "assist",
  "agent_id": "agent_456"
}