curl --request GET \
  --url https://app.dotportion.com/api/v1/submissions/{id} \
  --header 'Authorization: Bearer <token>'

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

fetch('https://app.dotportion.com/api/v1/submissions/{id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://app.dotportion.com/api/v1/submissions/{id}"

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

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

print(response.text)

{
  "data": {
    "id": "00000000-0000-4000-8000-000000000031",
    "assessment_id": "00000000-0000-4000-8000-000000000011",
    "challenge": {
      "name": "LRU Cache",
      "slug": "lru-cache"
    },
    "candidate": {
      "email": "katherine@example.com",
      "name": "Katherine Johnson"
    },
    "status": "evaluated",
    "started_at": "2026-01-15T12:00:00.000Z",
    "submitted_at": "2026-01-15T12:00:00.000Z",
    "evaluated_at": "2026-01-15T12:00:00.000Z",
    "paused_total_seconds": 120,
    "budget": {
      "dollars_used": 1.25,
      "dollars_cap": 3
    },
    "created_at": "2026-01-15T12:00:00.000Z",
    "workspace_archive_url": null,
    "report": {
      "submission_id": "00000000-0000-4000-8000-000000000031",
      "status": "evaluated",
      "evaluated": true,
      "ship_score": 87,
      "verdict": "strong_yes",
      "verdict_label": "Strong yes",
      "confidence": "low",
      "summary": "",
      "scored_as_role": null,
      "pillars": [
        {
          "id": "correctness",
          "label": "Correctness",
          "score": 89,
          "low_confidence": false,
          "summary": "",
          "not_assessed": []
        },
        {
          "id": "craft",
          "label": "Craft",
          "score": 77,
          "low_confidence": false,
          "summary": "",
          "not_assessed": []
        },
        {
          "id": "ai_fluency",
          "label": "AI Fluency",
          "score": 75,
          "low_confidence": false,
          "summary": "",
          "not_assessed": []
        },
        {
          "id": "rigor",
          "label": "Rigor",
          "score": 89,
          "low_confidence": false,
          "summary": "",
          "not_assessed": []
        }
      ],
      "strengths": [],
      "flags": [],
      "interview_questions": [],
      "facts": {
        "time_used_minutes": null,
        "time_allotted_minutes": 60,
        "budget_used_dollars": 1.25,
        "budget_allotted_dollars": 3,
        "ai_authored_pct": null,
        "churn_pct": null,
        "ai_exchange_count": 0
      },
      "scope_exclusions": [],
      "integrity_status": "flagged",
      "pipeline_rank": {
        "rank": 2,
        "total": 9
      },
      "tasks": [],
      "generated_at": "2026-01-15T12:00:00.000Z"
    }
  },
  "meta": {
    "request_id": "req_4f2a9c1e8b7d4a5f9e3c2b1a8d7f6e5c"
  }
}

{
  "error": {
    "code": "INVALID_TOKEN",
    "message": "Invalid or revoked API key",
    "request_id": "req_4f2a9c1e8b7d4a5f9e3c2b1a8d7f6e5c"
  }
}

{
  "error": {
    "code": "INSUFFICIENT_SCOPE",
    "message": "This API key lacks the required scope: write.",
    "request_id": "req_4f2a9c1e8b7d4a5f9e3c2b1a8d7f6e5c"
  }
}

{
  "error": {
    "code": "NOT_FOUND",
    "message": "Resource not found",
    "request_id": "req_4f2a9c1e8b7d4a5f9e3c2b1a8d7f6e5c"
  }
}

{
  "error": {
    "code": "RATE_LIMITED",
    "message": "Rate limit exceeded for write requests (200/hour). Retry after 2026-01-15T13:00:00.000Z.",
    "details": {
      "limit": 200,
      "remaining": 0,
      "reset": 1768482000
    },
    "request_id": "req_4f2a9c1e8b7d4a5f9e3c2b1a8d7f6e5c"
  }
}

{
  "error": {
    "code": "INTERNAL_ERROR",
    "message": "Internal server error",
    "request_id": "req_4f2a9c1e8b7d4a5f9e3c2b1a8d7f6e5c"
  }
}