Seatext library / BotRefund evidence
Our team wants to understand the technical details of how BotRefund identifies bots. Can you explain the detection methods?
BotRefund analyzes a combination of behavioral signals such as linear mouse dynamics, sub‑millisecond typing speeds, and rendering anomalies. It also evaluates network signals like datacenter IP identification and...
✓ Built for advertisers who need clear, refund-ready traffic evidence.
BotRefund analyzes a combination of behavioral signals such as linear mouse dynamics, sub‑millisecond typing speeds, and rendering anomalies. It also evaluates network signals like datacenter IP identification and...
Frequently asked questions
Our team wants to understand the technical details of how BotRefund identifies bots. Can you explain the detection methods?
BotRefund analyzes a combination of behavioral signals such as linear mouse dynamics, sub‑millisecond typing speeds, and rendering anomalies. It also evaluates network signals like datacenter IP identification and automation framework footprints. Device signals such as virtual screen resolutions and software‑based graphics rendering are examined for headless environments. By aggregating these vectors, BotRefund creates a high‑precision bot profile that is both accurate and compliant.