Abstract: An automated valuation system for an entity, that uses specific input attributes items and a plurality of primary token features that are disposed within a specific geolocation, in addition, a plurality of valued entities input data set items and a plurality of secondary token features that are disposed within the same geolocation. Recently evaluated entities are qualified by being within first and second ranges of first and second matched items to the specific entity, wherein common features are removed, and remaining features are given a tokenized grouping and weight via an algorithm to explain valuations differences between recently evaluated entities. These weights are used determine a calculated value of the specific entity by determining a calculated attribute value based upon the weight of the features associated with the specific entity.

Abstract: An automated valuation system for an entity, that uses specific input attributes items and a plurality of primary token features that are disposed within a specific geolocation, in addition, a plurality of valued entities input data set items and a plurality of secondary token features that are disposed within the same geolocation. Recently evaluated entities are qualified by being within first and second ranges of first and second matched items to the specific entity, wherein common features are removed, and remaining features are given a tokenized grouping and weight via an algorithm to explain valuations differences between recently evaluated entities. These weights are used determine a calculated value of the specific entity by determining a calculated attribute value based upon the weight of the features associated with the specific entity.

Abstract: An automated valuation system for an entity, that uses specific input attributes items and a plurality of primary token features that are disposed within a specific geolocation, in addition, a plurality of valued entities input data set items and a plurality of secondary token features that are disposed within the same geolocation. Recently evaluated entities are qualified by being within first and second ranges of first and second matched items to the specific entity, wherein common features are removed, and remaining features are given a tokenized grouping and weight via an algorithm to explain valuations differences between recently evaluated entities. These weights are used determine a calculated value of the specific entity by determining a calculated attribute value based upon the weight of the features associated with the specific entity.

Abstract: An automated real estate valuation system for a selected specific property, that uses specific property input attributes items and a plurality of primary token features that are disposed within a specific tract of land, in addition, a plurality of recently sold property input data set items and a plurality of secondary token features that are disposed within the same specific tract of land. Sold properties are qualified by being within first and second ranges of first and second matched items to the specific property, wherein common features are removed and remaining features are given a tokenized grouping and weight via an algorithm to explain price per square foot differences between sold properties. These weights are used determine a calculated value of the specific property by determining a calculated value per square foot based upon the weight of the features associated with the specific property.

Abstract: An automated real estate valuation system for a selected specific property, that uses specific property input attributes items and a plurality of primary token features that are disposed within a specific tract of land, in addition, a plurality of recently sold property input data set items and a plurality of secondary token features that are disposed within the same specific tract of land. Sold properties are qualified by being within first and second ranges of first and second matched items to the specific property, wherein common features are removed and remaining features are given a tokenized grouping and weight via an algorithm to explain price per square foot differences between sold properties. These weights are used determine a calculated value of the specific property by determining a calculated value per square foot based upon the weight of the features associated with the specific property.