curl https://orbexa.io/api/otr/verify/example.com

{
  "domain": "example.com",
  "name": "Example Store",
  "trust_score": 75,
  "badge": "SILVER",
  "industry": "E-Commerce",
  "dimensions": {
    "V": { "score": 82, "signals": [...] },
    "S": { "score": 68, "signals": [...] },
    "G": { "score": 70, "signals": [...] },
    "T": { "score": 65, "signals": [...] },
    "D": { "score": 72, "signals": [...] },
    "F": { "score": null, "status": "cold_mode" }
  },
  "entity_data": {
    "gleif": { ... },
    "wikidata": { ... },
    "stock": { ... }
  },
  "agent_commerce": {
    "llms_txt": true,
    "agent_json": false,
    "schema_org_product": true,
    "sitemap": true
  },
  "scanned_at": "2026-04-10T12:00:00Z",
  "otr_id": "OTR-xxxx"
}

{
  "signal_name": "dnssec",
  "status": "detected",
  "value": true,
  "evidence": "DNSSEC is enabled with RRSIG records",
  "source_url": "dns://example.com"
}

curl https://orbexa.io/.well-known/otr/verify/example.com

async function checkTrust(domain) {
  const response = await fetch(
    `https://orbexa.io/api/otr/verify/${encodeURIComponent(domain)}`
  );
  const data = await response.json();

  console.log(`域名: ${data.domain}`);
  console.log(`信任评分: ${data.trust_score}`);
  console.log(`徽章: ${data.badge}`);
  console.log(`V维度: ${data.dimensions.V.score}`);
  console.log(`S维度: ${data.dimensions.S.score}`);

  return data;
}

// 使用
checkTrust('example.com');

import requests

def check_trust(domain: str) -> dict:
    url = f"https://orbexa.io/api/otr/verify/:domain"
    response = requests.get(url)
    data = response.json()

    print(f"域名: {data['domain']}")
    print(f"信任评分: {data['trust_score']}")
    print(f"徽章: {data['badge']}")

    return data

# 使用
check_trust("example.com")

# 查询并格式化输出
curl -s https://orbexa.io/api/otr/verify/example.com | jq .

# 只获取信任评分
curl -s https://orbexa.io/api/otr/verify/example.com | jq '.trust_score, .badge'

请帮我查询 example.com 的OTR信任评分。
访问 https://orbexa.io/api/otr/verify/example.com
然后分析每个维度的分数，告诉我最需要改进的地方，
并给出具体的操作步骤。