PATENT CLAIM ANALYSIS

Application Number: 16284579
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["705", "035000"]

Abstract:
A method includes creating a seller escrow wallet. The seller escrow wallet only displays a content of the wallet, is non-custodial, maintains an ability to return tokens stored within the wallet to an original account via a request, transfers tokens purchased by the seller to the wallet, and utilizes a master wallet to facilitate a transfer of the tokens from the seller wallet to a buyer wallet associated with the buyer. Upon a sale of the tokens, the method includes moving the tokens from the seller wallet to the master wallet using addresses that identify at least one of the seller and the buyer, receiving a payment at the master wallet from the buyer for the tokens and upon receiving the payment at the master wallet, releasing the tokens to the buyer and transferring the payment to the seller.

Claim (Index 18):
The computer-readable storage device of  claim 17 , wherein the computer-readable storage device stores additional instructions which, when executed by the plurality of computing devices, cause the plurality of computing devices to perform operations further comprising:\n issuing the buyer a buyer escrow wallet to deposit funds associated with the payment and accept delivery of the tokens.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.56897
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15720878', '12023507', '14843452', '11673702', '14486420']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1040787623643491
- 35 USC 102 Novelty (BERT): 0.4674388309989108
- Combined Prediction Score: 0.1404147692278053
- Mean Citation Score: 153.419618
- Max Citation Score: 163.68459
- Similarity Product: 122.72957816804586

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

Dataset: test