Coinbase, Inc.

Chaoqing Lu

Zhicong Liang

Jie Zhang

Yaohua Yang

Jinghan Xu

Xu Meng

David Lai

Catalin Tiseanu

Wisam Dakka

Rajarshi Gupta

Methods and systems are described herein for performing a cold start operation of a system for acquiring non-fungible tokens (NFTs) using on-chain data. In particular, a user feed initialization system may receive an on-chain address associated with a cryptography-based storage application (e.g., an address associated with a crypto wallet of a user) and determine, based on the on-chain address, NFTs that the user's cryptography-based storage application controls (e.g., NFTs that the user owns). The user feed initialization system may use on-chain data associated with the NFTs (e.g., via interrogating the on-chain programs associated with the NFTs that the user owns) to identify (e.g., via a machine learning model) other NFTs that the user may desire to acquire.

Using on-chain data for generating a token data feed

Methods and systems are described herein for performing privacy-preserving operation of a system for acquiring non-fungible tokens (NFTs) using on-chain data. In particular, a user feed initialization system may determine that a privacy-preserving login is requested and may receive an on-chain address associated with a cryptography-based storage application (e.g., an address associated with a crypto wallet of a user) and determine, based on the on-chain address, NFTs that the user's cryptography-based storage application controls (e.g., NFTs that the user owns). The user feed initialization system may use on-chain data associated with the NFTs (e.g., via interrogating the on-chain programs associated with the NFTs that the user owns) to identify (e.g., via a machine learning model) other NFTs that the user may desire to acquire.

Generating a token data feed with privacy-preserving logins

Systems and methods for a unified approach that is compatible with all blockchains, protocols, etc. The systems and methods use a bifurcated indexing system with a dynamically selected application service. The systems and methods bifurcate the indexing process into a storage layer and a compute layer.

Systems and methods for improved blockchain data indexing by avoiding throughput bottlenecks

Systems and methods for supporting both batch processing and streaming data applications, to load and process data incrementally, while providing a near-constantly materialized dataset based on raw blockchain data, are described. For example, the system may receive first on-chain data in a first format via a first input stream, wherein the first on-chain data originates from a blockchain node of a blockchain network. The system may transform the first on-chain data to a second format for storage in a second dataset, wherein the second format comprises an unbounded table.

Systems and methods for supporting both batch processing and streaming data applications based on raw blockchain data

Systems and methods for improved blockchain data indexing by decoupling compute and storage layers

Systems and methods for creating a reorganization-immune blockchain index using mono-increasing sequence records are described. For example, the system may receive on-chain data for a plurality of blocks, wherein the plurality of blocks comprises a first block comprising a first event of a plurality of blockchain events within the on-chain data. The system may determine a first sequence number for the first event, wherein the first sequence number is based on a mono-increasing sequence record.

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Oakland, CA, United States of America

Chaoqing Lu