Seatext library / BotRefund evidence
How do bot detection tools avoid false positives from legitimate users with unusual setups?
BotRefund avoids false positives by never trusting a single anomaly. Each signal, such as a native patching mismatch, is treated as objective evidence but must be corroborated by...
✓ Built for advertisers who need clear, refund-ready traffic evidence.
BotRefund avoids false positives by never trusting a single anomaly. Each signal, such as a native patching mismatch, is treated as objective evidence but must be corroborated by...
Frequently asked questions
How do bot detection tools avoid false positives from legitimate users with unusual setups?
BotRefund avoids false positives by never trusting a single anomaly. Each signal, such as a native patching mismatch, is treated as objective evidence but must be corroborated by other independent checks. Only when the AI model sees a consistent pattern across browser, network, device, and behavior data is a visit classified as a bot. This design allows legitimate users with unusual setups to pass through without being blocked.