Time-Series Change Detection
Detects field-level changes across schedule snapshots in six categories.\n\nChange categories:\n- baseline — unauthorized baseline date/duration modifications (GAO BP-10)\n- actual — retroactive actual date changes (DCMA DECM 06A504a/b)\n- forecast — forecast drift and instability patterns\n- logic — dependency adds/removes/lag modifications\n- resource — resource assignment modifications\n- progress — progress decrease and erratic patterns\n\nComparison modes: all_periods (default), latest, specific_dates.\n\nTier access: Starter and above.\n\nOutput: comparison_summary, changes_by_category (all 6 categories), impact_analysis, trends, compliance_tags, processing_metadata.
Request
- Base URL: https://api.bellatorsi.com (the document declares no server; this is the origin it was published from)
- URL: https://api.bellatorsi.com/api/v1/forensics/change-tracking
- Auth: none declared
Headers
Request body
Example request
{
"current_schedule": {
"tasks": [
{
"duration_days": 10,
"id": "T1",
"name": "Design Phase",
"percent_complete": 0,
"planned_finish": "2026-01-15",
"planned_start": "2026-01-01",
"predecessors": [],
"resource": "Team A"
}
]
},
"schedule_history": [
{
"tasks": [
{
"duration_days": 10,
"id": "T1",
"name": "Design Phase",
"percent_complete": 0,
"planned_finish": "2026-01-15",
"planned_start": "2026-01-01",
"predecessors": [],
"resource": "Team A"
}
]
}
]
}Response
Change tracking analysis completed successfully
Changes
No recorded changes to this operation across all 1 revision of this API.