PATENT CLAIM ANALYSIS

Application Number: 15922746
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-01
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 2):
The system of  claim 1 , wherein:\n if at least one feature of the digital event data does not traverse the first stage, the second computing node passes the digital event data to the second stage of the plurality of differentiated and disparate stages of the second computing node.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.45312
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15653354', '15653373', '15842379', '14632514', '15862067']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3201922247432238
- 35 USC 102 Novelty (BERT): 0.5280530290193267
- Combined Prediction Score: 0.3409783051708341
- Mean Citation Score: 238.208854
- Max Citation Score: 353.0381
- Similarity Product: 269.87934907825587

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

Dataset: test