Abstract: A method can include establishing, by a computing system, a secure electronic network connection to an electronic agent running configured to access the dataset to dynamically generate the metadata related to the dataset on a client computing system. A method can include receiving, by the computing system, from the electronic agent via the secure electronic network connection, metadata related to a dataset, the metadata comprising a plurality of attributes of the dataset and a summary of the dataset. A method can include applying a valuation model to the metadata to determine an estimated value of the dataset, the valuation model comprising a machine learning model trained using marketplace data comprising sales prices and attributes of one or more datasets, wherein the model is trained to output the sales prices of the one or more datasets. A method can include determining, an estimated value of the dataset.

Abstract: Methods and systems described in this disclosure are directed to providing a plurality of grammatical components of a computer language for representing financial events of a user, receiving first financial information pertaining to the user from a first computing device, the first financial information defined using a first grammatical component in the plurality of grammatical components of the computer language; receiving second financial information pertaining to the user from a second computing device, the second financial information defined using a second grammatical component in the plurality of grammatical components of the computer language; and extracting the first financial information from the first grammatical component and the second financial information from the second grammatical component by parsing the first grammatical component and the second grammatical component.