data/sample_preview.json

{
  "run_id": "ariaid-f3892d81ec85c313",
  "status": "ready",
  "status_label": "Sessions ready for review \u00b7 Live parse, sessionization, rules, calibrated logistic, and a small tree",
  "kpis": {
    "n_raw": 8921,
    "n_valid": 8921,
    "n_dropped": 0,
    "n_sessions": 7978,
    "n_security_review": 49,
    "n_context": 1120,
    "n_incomplete": 0,
    "parse_coverage": 1.0,
    "event_recall": 1.0,
    "precision_at_k": 1.0,
    "false_alarms_per_user_day": 0.0,
    "mean_detect_delay_min": 10.671,
    "new_device_as_security": 0,
    "new_user_as_security": 0,
    "seconds": 16.082,
    "threshold": 3.0,
    "model_names": "rules+logistic+lightgbm",
    "daily_capacity": 8
  },
  "kpi_html": "<div class='kpi-grid'><article class='kpi-card'><p class='kpi-label'>Needs security review</p><p class='kpi-value'>49</p><p class='kpi-sub'>1120 context sessions</p></article><article class='kpi-card'><p class='kpi-label'>Parse coverage</p><p class='kpi-value'>100%</p><p class='kpi-sub'>8921/8921</p></article><article class='kpi-card'><p class='kpi-label'>Incomplete rows</p><p class='kpi-value'>0</p><p class='kpi-sub'>missing time/user/result</p></article><article class='kpi-card'><p class='kpi-label'>Test event recall</p><p class='kpi-value'>100%</p><p class='kpi-sub'>failure-count baseline: 0.25</p></article><article class='kpi-card'><p class='kpi-label'>Precision @ 8/day</p><p class='kpi-value'>100%</p><p class='kpi-sub'>held-out daily review capacity</p></article><article class='kpi-card'><p class='kpi-label'>False alarms / user-day</p><p class='kpi-value'>0.000</p><p class='kpi-sub'>sessions without a review label</p></article><article class='kpi-card'><p class='kpi-label'>Analyze time</p><p class='kpi-value'>16.1s</p><p class='kpi-sub'>T=3.0</p></article></div>",
  "validation_ok": true,
  "precomputed": true
}