Get Agent Agreement
AI-vs-operator agreement: precision/recall of the agent's recommended action (and of the actual auto-dismiss gate) against human dispositions as ground truth. Same tenant scoping as /analytics/summary.
403 for a curated role rather than curated: there is no customer- meaningful reading of "AI vs operator agreement precision" — it is a staff accuracy-monitoring metric, and every input to it (gate-stops, auto-dismissals, what the agent recommended doing) is exactly the internal pipeline detail this feature hides. Unlike the incident-counts/events endpoints, curating this one down to only customer_visible rows would not produce a meaningful "agreement rate" — it would produce a rate over a handful of already-escalated events, which is not what this metric means.
Request
- Base URLhttps://api.verdun.ai (the document declares no server; this is the origin it was published from)
- URLhttps://api.verdun.ai/analytics/agent-agreement
- AuthHTTP bearer
Query parameters
Response
Successful Response
Example response
{
"totals": {
"reviewed": 124,
"with_recommendation": 110,
"agreement": 96,
"agreement_rate": 87.3
},
"confusion": [
{
"recommended": "non_threatening",
"disposition": "non_threatening",
"count": 41
}
],
"classes": [
{
"action": "false_alarm",
"precision": 92.1,
"recall": 88.4,
"predicted": 38,
"support": 40
}
],
"dismiss_screen": {
"precision": 97.5,
"recall": 84,
"false_dismissals": 2
},
"gate_simulation": {
"would_auto_dismiss": 58,
"correct": 57,
"wrong": 1,
"precision": 98.3,
"coverage": 46.8,
"blocked_by_camera_types": 3
},
"cameras": [
{
"camera_label": "Loading dock",
"site_name": "Downtown Plaza",
"reviewed": 31,
"with_recommendation": 29,
"agreement_rate": 89.7,
"gate_would_dismiss": 14,
"gate_precision": 100,
"agent_incident_types_count": 12,
"gate_blocked_by_camera_types": 2
}
]
}Changes
No recorded changes to this operation across all 2 revisions of this API.