Lê o estado de uma análise de crédito e, decidida, a mesma decisão do webhook

curl --request GET \
  --url https://api.unifokal.com/v1/credit-analyses/{id} \
  --header 'Authorization: Bearer <token>'

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

fetch('https://api.unifokal.com/v1/credit-analyses/{id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://api.unifokal.com/v1/credit-analyses/{id}"

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

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

print(response.text)

{
  "id": "<string>",
  "object": "credit_analysis",
  "verification_id": "<string>",
  "status": "running",
  "credit_decision": {
    "analysis_id": "<string>",
    "decision": "approved",
    "reasons": [
      {
        "code": "ineligible_age",
        "text": "<string>"
      }
    ],
    "limit_cents": 123,
    "installment_max_cents": 123,
    "capacity": {
      "income_basis_source": "declared",
      "dsr_after_bps": 123,
      "residual_income_cents": 123
    },
    "sources": [
      {
        "module": "<string>",
        "status": "delivered",
        "origin": "bureau",
        "base_date": "<string>",
        "state": "delivered",
        "consulted": true,
        "price_cents": 123
      }
    ],
    "policy_version": "<string>",
    "engine_version": "<string>",
    "explanation": {
      "reasons": [
        {
          "code": "ineligible_age",
          "text": "<string>",
          "contest": [
            "<string>"
          ],
          "adverse": true,
          "elements": [
            {
              "text": "<string>",
              "contest": [
                "<string>"
              ]
            }
          ]
        }
      ],
      "sources": [
        {
          "origin": "bureau",
          "origin_name": "<string>",
          "base_date": "<string>",
          "contest": "<string>"
        }
      ],
      "review": "<string>",
      "free_access": "<string>",
      "decided_by": "engine",
      "desk_reason": "<string>",
      "elements_considered": [
        "<string>"
      ],
      "inquirer": "<string>",
      "creditor": "<string>",
      "review_terms": {
        "text": "<string>",
        "channel": {
          "text": "<string>",
          "url": "<string>",
          "email": "<string>",
          "phone": "<string>"
        },
        "deadline_business_days": 123
      }
    },
    "bureau_score": {
      "source_module": "<string>",
      "score": 123,
      "scale_min": 123,
      "scale_max": 123,
      "pd_bps": 123,
      "band": "<string>",
      "origin_name": "<string>",
      "base_date": "<string>"
    },
    "bureau_scores": [
      {
        "source_module": "<string>",
        "score": 123,
        "pd_bps": 123,
        "pd_low_bps": 123,
        "pd_high_bps": 123,
        "horizon_months": 123,
        "band": "<string>",
        "model": "<string>",
        "origin_name": "<string>",
        "base_date": "<string>"
      }
    ],
    "bureau_pd": {
      "read": {
        "horizon_class": "6m",
        "bps": 123,
        "rule": "max",
        "source_module": "<string>",
        "origin_name": "<string>",
        "base_date": "<string>",
        "sources_count": 123,
        "dispersion_bps": 123
      },
      "classes": [
        {
          "horizon_class": "6m",
          "bps": 123,
          "rule": "max",
          "source_module": "<string>",
          "origin_name": "<string>",
          "base_date": "<string>",
          "sources_count": 123,
          "dispersion_bps": 123
        }
      ]
    },
    "evaluation": {
      "stages_run": 123,
      "stop_reason": "decided",
      "spent_cents": 123,
      "cost_cap_cents": 123,
      "latency_budget_ms": 123,
      "skipped": [
        {
          "module": "<string>",
          "cause": "not_read"
        }
      ]
    },
    "experiment": {
      "id": "<string>",
      "arm": "champion"
    },
    "bureau_recommendations": [
      {
        "source_module": "<string>",
        "level": "not_recommended",
        "origin_name": "<string>",
        "base_date": "<string>"
      }
    ],
    "house_score": {
      "value": 500,
      "band": "high_risk",
      "version": "<string>",
      "method_hash": "<string>",
      "coverage_bps": 5000,
      "factors": [
        {
          "code": "<string>",
          "text": "<string>",
          "points_lost": 500,
          "missing": true
        }
      ],
      "helped": [
        {
          "code": "<string>",
          "text": "<string>"
        }
      ],
      "unscored_reason": "registration_void"
    },
    "notice_text": "<string>",
    "decided_by": "engine",
    "desk_reason": {
      "code": "<string>",
      "text": "<string>"
    }
  },
  "previous_analysis_id": "<string>",
  "end_reason": "<string>",
  "missing_authorizations": [
    {
      "module": "<string>",
      "reason": "credit_history_authorization_missing"
    }
  ],
  "created_at": "2023-11-07T05:31:56Z",
  "ended_at": "2023-11-07T05:31:56Z"
}

{
  "error": "validation_error",
  "message": "<string>"
}

{
  "error": "invalid_api_key",
  "message": "<string>"
}

{
  "error": "credential_type_not_allowed",
  "message": "<string>"
}

{
  "error": "credit_analysis_not_found",
  "message": "<string>"
}

{
  "error": "rate_limited",
  "message": "<string>"
}