| Name | Type | Description | Notes |
|---|---|---|---|
| AnomalyScore | double | The output of this model is captured as anomaly_score, a statistical score indicating how rare the visitor's browser signature is compared to the overall population. Values close to 1 signify highly anomalous browsers and we consider anything above the threshold of 0.5 to be actionable (the result field conveniently captures that fact). | [optional] |
| AntiDetectBrowser | bool | Detects whether the request shows evidence of anti-detect browser usage. This field may be triggered by: * heuristic detection of known anti-detect browser behavior * machine learning detection of anti-detect browser patterns Examples of anti-detect browsers include tools such as AdsPower, DolphinAnty, OctoBrowser, and GoLogin. | [optional] |