PATENT CLAIM ANALYSIS

Application Number: 16357593
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["726", "023000"]

Abstract:
Systems and methods include: receiving digital event type data that define attributes of a digital event type; receiving digital fraud policy that defines a plurality of digital processing protocols; transmitting via a network the digital event data and the digital fraud policy to a remote digital fraud mitigation platform; using the digital event data to configure a first computing node comprising an events data application program interface or an events data computing server to detect digital events that classify as the digital event type; using digital fraud policy to configure a second computing node comprising a decisioning API or a decisioning computing server to automatically evaluate and automatically select one digital event processing outcome of a plurality of digital event processing outcomes that indicates a disposal of the digital events classified as the digital event type; and implementing a digital threat mitigation application process flow that evaluates digital event data.

Claim (Index 10):
The system of  claim 1 , further comprising:\n wherein the application programming interface operates to return the digital threat score and the disposal decision output for the online transaction associated with the digital event data.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 99.0
- Lexical Diversity: 2.45312
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15922746', '15653354', '15957761', '15653373', '16138311']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3048145922795365
- 35 USC 102 Novelty (BERT): 0.5435728171060598
- Combined Prediction Score: 0.3286904147621888
- Mean Citation Score: 316.2744160000001
- Max Citation Score: 399.15424
- Similarity Product: 357.13963955944064

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test