Abstract: Various embodiments are directed to processing and executing digital asset transfers between two users. An example method includes receiving a data object defining a digital asset transfer, and the data object may be a query from the first user to initiate an outbound transfer to a second user or an approval of a request for digital asset units from the second user. The method further includes retrieving account balance data objects associated with the digital asset accounts for the first and second users. The method further includes, responsive to determining that the digital asset transfer satisfies one or more transfer conditions, executing the digital asset transfer by executing a closed-loop debit from the first user and executing a closed-loop credit to the second user. The method further includes updating the account balance data object to reflect the resulting balances of each digital asset account.

Abstract: Various embodiments of the present disclosure are generally directed to processing conversions of digital assets to fiat currency. An example method includes obtaining a conversion rate for a digital asset via an API, providing the conversion rate via a client device, receiving a digital asset conversion request and executing a digital asset conversion within a configurable time period. Executing the digital asset conversion includes causing digital asset units to be debited from the digital asset user account and causing fiat currency units to be credited to a fiat currency user account. The method further includes dynamically providing a notification of execution of the digital asset conversion via the client device, updating account balance data objects associated with the digital asset user account and the fiat currency user account, and subsequent to executing the digital asset conversion, executing a fiat currency transaction (e.g., a settlement) with a digital asset exchange system.

Abstract: A client instance provides search suggestions based on a partial search query. The search suggestions include user search suggestions based on previous search queries performed by the user and instance search suggestions based on previous search queries performed on the instance. The client instance filters the instance search suggestions based on filter criteria associated with the user, such as an interface used by the user, a search context, user group that the user belongs to, domain used by the user, and so on. The client instance may remove the search suggestions that include blacklisted terms. The client instance may rank the search suggestions (e.g., based on frequency and/or recency) and enable the user to select those ranked search suggestions that meet or exceed a threshold.

Abstract: Disclosed are methods and systems for sending targeted and contextual promotional offers on behalf of a merchant by receiving location information for a particular venue by a storage/processing module, gathering contextual information, mapping merchant requirements to the location information, and sending the promotional offers to users, the contextual information provided by portable communication devices, and the mapping based on a predefined criteria and a subset of users whose requirements are mapped on the predefined criteria.