[
  {
    "metric_id": "jobs_analyzed",
    "metric_label": "Jobs analyzed",
    "metric_value": null,
    "metric_format": "count",
    "sort_order": 10,
    "metric_note": "Dataset publishing soon."
  },
  {
    "metric_id": "companies_analyzed",
    "metric_label": "Companies analyzed",
    "metric_value": null,
    "metric_format": "count",
    "sort_order": 20,
    "metric_note": "Analysis in progress."
  },
  {
    "metric_id": "current_jobs_analyzed",
    "metric_label": "2026 jobs analyzed",
    "metric_value": null,
    "metric_format": "count",
    "sort_order": 30,
    "metric_note": "Current-period benchmark preview."
  },
  {
    "metric_id": "historical_jobs_analyzed",
    "metric_label": "Historical jobs analyzed",
    "metric_value": null,
    "metric_format": "count",
    "sort_order": 40,
    "metric_note": "Historical comparison release forthcoming."
  },
  {
    "metric_id": "avg_frankenstein_role_score",
    "metric_label": "Average Frankenstein Role Score",
    "metric_value": null,
    "metric_format": "score",
    "sort_order": 50,
    "metric_note": "Average score estimating cross-discipline role bloat."
  },
  {
    "metric_id": "avg_skill_washing_score",
    "metric_label": "Average Skill Washing Score",
    "metric_value": null,
    "metric_format": "score",
    "sort_order": 60,
    "metric_note": "Average score estimating AI label without AI-specific security evidence."
  },
  {
    "metric_id": "avg_unicorn_index",
    "metric_label": "Average Unicorn Index",
    "metric_value": null,
    "metric_format": "score",
    "sort_order": 70,
    "metric_note": "Average score estimating unrealistic breadth of role requirements."
  }
]