PATENT CLAIM ANALYSIS

Application Number: 16124537
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["701", "029600"]

Abstract:
A method and system for processing requests for vehicular data, including receiving a vehicle request for a vehicle parameter from a client system (e.g., third party application); verifying client access to the vehicle parameter; determining one or more parameter values for the requested vehicle parameter; and transmitting the one or more parameter values to the client system.

Claim (Index 1):
A method for processing requests for vehicular data, the method comprising:\n sampling a first value for a vehicle parameter at a vehicle at a first time; transmitting the first value from the vehicle to a remote system; at the remote system, caching the first value in association with a vehicle identifier identifying the vehicle; receiving a first vehicle request for the vehicle parameter from a first third party application, the first vehicle request comprising the vehicle identifier; transmitting a resource query for the vehicle parameter to a vehicle resource associated with the vehicle identifier; in response to the vehicle resource accepting the resource query, transmitting a second value for the vehicle parameter from the vehicle resource to the remote system, the second value sampled at the vehicle at a second time after the first time; in response to the vehicle resource rejecting the resource query, retrieving the first value at the remote system; and fulfilling the first vehicle request with at least one of the first value and the second value.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.75676
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15372257', '15828964', '14722026', '15638312', '15947048']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3359190592445834
- 35 USC 102 Novelty (BERT): 0.4535464812035734
- Combined Prediction Score: 0.3476818014404824
- Mean Citation Score: 115.62145300000002
- Max Citation Score: 161.73266999999996
- Similarity Product: 139.82819615812537

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

Dataset: test