Compliance

const result = await client.complianceCheck({
  content: "Our AI system processes user photos to determine creditworthiness and loan eligibility.",
  framework: "gdpr",
  strictMode: true,
  includeExplanations: true
});

console.log(result.compliance_score.score);    // 0-10
console.log(result.compliance_score.label);    // "Critical" | "Poor" | "Fair" | "Good" | "Excellent"
console.log(result.requirements_passed);
console.log(result.requirements_failed);

result.requirements.forEach(req => {
  console.log(`${req.requirement_id}: ${req.status} (${req.score}/10)`);
});

result.issues.forEach(issue => {
  console.log(`[${issue.severity}] ${issue.description}`);
  console.log(`  Remediation: ${issue.remediation_effort}`);
});

const result = await client.complianceCheck({
  content: "Patient records are processed by our AI diagnostic assistant.",
  frameworks: ["gdpr", "hipaa"],
  context: {
    domain: "healthcare",
    data_types: ["health_records", "patient_identifiers"],
    cross_border: true
  }
});

for (const [framework, check] of Object.entries(result.results)) {
  console.log(`${framework}: ${check.compliance_score.score}/10 — ${check.compliance_score.label}`);
}

console.log(`Average: ${result.cross_framework_summary.average_score}`);
console.log(`Weakest: ${result.cross_framework_summary.weakest_framework}`);

{
  "framework": "gdpr",
  "compliance_score": {
    "score": 4.2,
    "confidence": 0.85,
    "label": "Fair"
  },
  "requirements_checked": 12,
  "requirements_passed": 7,
  "requirements_failed": 4,
  "requirements_warned": 1,
  "requirements": [
    { "requirement_id": "...", "status": "pass", "score": 8.5, "article": "Art. 5" }
  ],
  "issues": [
    { "id": "...", "severity": "high", "description": "...", "remediation_effort": "medium" }
  ],
  "improvement_suggestions": ["..."],
  "from_cache": false
}