Abstract: A system includes a server that implements a governing logic component and a production component. When implementing an evaluation service, the production component obtains time-dependent metric data that comprises market reference data for one or more items in the marketplace having attributes that are responsive to attributes identified for a target item. The production component discovers at least one relationship comprising a difference for a responsive marketplace item and the target item, which enables the governing logic component to contextually define context-specific instructions for adapting the market reference data for the differing marketplace item. At least one adjustment value applied to the market reference data for the responsive marketplace item automatically transforms the market reference data into normalized metric data for the target item, and produces, for the target item, one or more metrics that pertain to the evaluation service, using, at least in part, the normalized metric data.

Abstract: A system includes a server that implements a governing logic component and a production component. The server receives or retrieves a transaction data set that identifies price data for an item. The production component obtains time-dependent metric data that includes market reference price data for one or more responsive items possessing attributes that are responsive to attributes defined for a respective item in the transaction data set. The production component discovers relationships in the attribute data, which enables the governing logic component to define transaction-specific instructions for adapting the market reference price data for the respective item. An adjustment value transforms the market reference price data and produces transaction-specific market price data values for the respective item. One or more evaluation measures are generated and exposed to at least one computing device in communication with the server.

Abstract: A system includes a server that implements a metric server adapter and a metrics application. The server receives a user-agent configured product specification data set that identifies an item or items having attributes which causes the metrics application to obtain time-dependent metric data. The metric data includes reference data for one or more responsive items responsive to a respective item in the product specification data set. The metrics application dynamically discovers differences in the attribute data, which enables the metric server adapter to define context-specific instructions for adapting the metric data for the respective item. An adjustment value applied to the reference data transforms the reference data and produces context-specific reference data for the respective item. One or more user interfaces expose the context-specific reference data values produced for the user-agent configured product specification data set to at least a client computing device associated with the user-agent.

Abstract: A system includes a server that implements a metric server adapter and a metrics application. The server receives or retrieves a first data set that identifies an item or items having a set of attributes and causes the server to implement an evaluation service. The metrics application obtains time-dependent metric data that includes reference data for one or more items responsive to an item identified in the first data set. The metrics application dynamically discovers differences in the attribute data which enables the metric server adapter to define context-specific instructions for adapting the metric data for the respective item. An adjustment value applied to the reference data transforms the reference data and produces context-specific reference data for the respective item. An evaluation metric is generated according to one or more predefined algorithms. At least a subset of the context-specific reference data is automatically input into the algorithms to generate the evaluation metric.

Abstract: A system includes a remotely-located server that implements components including metric server adapter and a metrics application. The metric server adapter manages governing logic of an evaluation service and predefined instructions that pertain to the evaluation service and/or data used to provide the evaluation service. The metrics application executes the evaluation service in coordination with the metric server adapter. The remotely-located server receives or retrieves a transaction data set. The metrics application obtains time-dependent metric data including market reference price data for one or more responsive items. The metrics application dynamically discovers a difference in the attribute data and the metric server adapter contextually defines transaction-specific instructions for adapting the metric data. An adjustment value applied to the market reference price data transforms the market reference price data.

Abstract: A system includes at least one server that implements a metric server adapter and a metrics application. The metric server adapter includes governing logic that manages an evaluation service and predefined instructions and/or data used to provide the evaluation service. The metrics application executes the evaluation service in coordination with the metric server adapter. The server receives or retrieves price data sets, at least one of which represents an unequal offer. The metrics application obtains time-dependent metric data including market reference price data for one or more responsive items, dynamically discovers a difference in the attribute data, and defines offer-specific instructions for adapting the metric data. One or more adjustment values applied to the market reference price data transforms the market reference price data. A comparative metric comprising a differential ratio or index value compares the price data in the offer with the offer-specific market reference price data values.

Abstract: A system includes a remotely-located server comprising a metric server adapter, a metrics application, and a communication application. The metric server adapter includes governing logic that manages an evaluation service and predefined instructions for managing metric data. The metrics application is a production application that operates in coordination with the metric server adapter. The metrics application receives an evaluation scenario causing the metrics application to retrieve historical purchase data including one or more price data sets. The metrics application obtains metric data that includes market reference price data, evaluates attributes of responsive items in the metric data to dynamically discover a difference in the attribute data, and dynamically defines transaction-specific instructions for adapting the metric data for a respective item. One or more adjustment values applied to the metric data transform the market reference price data.

Abstract: A system includes a remotely-located server implementing a metric server adapter, a metrics application, and a communication application. The metric server adapter includes governing logic that manages at least one evaluation service and a plurality of predefined instructions for managing metric data. The metrics application is a production application that operates in coordination with the metric server adapter. Receipt of a product specification data set triggers the metrics application to obtain metric data that includes market reference price data, evaluate attributes of each responsive item in the metric data to dynamically discover a difference in the attribute data, and contextually define transaction-specific instructions for adapting the metric data for the respective item. One or more adjustment values transform the market reference price data, and one or more evaluation metrics are communicated to the user-agent computing device.

Abstract: A system includes a remotely-located server implementing a metric server adapter, a metrics application, and a communication application. The metric server adapter includes governing logic that manages at least one evaluation service and a plurality of predefined instructions for managing metric data. The metrics application is a production application that operates in coordination with the metric server adapter. Receipt or retrieval of at least one price data set triggers the metrics application to obtain metric data that includes market reference price data, evaluate attributes of each responsive item in the metric data to dynamically discover a difference in the attribute data, and dynamically define transaction-specific instructions for adapting the metric data for a respective item in the price data set. One or more adjustment values transform the market reference price data, and one or more evaluation metrics are communicated to the buyer-agent computing device.

Abstract: A system including a remotely-located service provider server receives or retrieves price data sets responsive to one or more product specification data sets. A metrics application invokes an evaluation service that causes the metrics application to obtain metric data including market reference price data for items responsive to attributes of an item identified in a price data set. Attributes for each responsive item are evaluated to dynamically discover relations within the attribute data. One or more adjustment values are generated and applied to the market reference price data for a responsive item that differs from the item identified in the price data set, transforming the market reference price data into transaction-specific market reference price metric data values that are used to generate one or more evaluation metrics. At least a subset of the price data sets and the one or more evaluation metrics are communicated to a buyer-agent computing device.

Abstract: A system including a remotely-located service provider server receives one or more product specification data sets. A metrics application invokes an evaluation service and obtains metric data including market reference price data for responsive items at a current time or period of time. Attributes for each responsive item are evaluated to dynamically discover relations within the attribute data that enable a metric server adapter to contextually determine which of the predefined instructions are applicable to the responsive item. One or more adjustment values are generated and applied to the market reference price data for a responsive item that differs by at least one parameter value, transforming the current market reference price data into transaction-specific market reference price data values that are used to generate one or more evaluation metrics. One or more of the received product specification data sets and evaluation metrics are communicated to a user-agent controlled computing device.

Abstract: A computer system including a service provider server invokes an evaluation service that causes a metric application to obtain a plurality of market transaction data sets responsive to attributes of at least one item identified in a product specification data set and/or a price data set. Each market transaction data set is defined by at least one parameter value and represents market reference price data of a particular time or period of time. At least one adjustment value is generated and applied to the market reference price data associated with the at least one item in one or more of the market transaction data sets, transforming the market reference price data and producing normalized market reference price data sets. A synthetic market value is generated for the at least one item in the product specification data set and/or the price data set, and one or more evaluation metrics generated therefrom are communicated via a network interface.

Abstract: An automated system for evaluating the market value of items includes invoking an evaluation service that causes a metric application to obtain a plurality of market transaction data sets responsive to attributes of at least one item identified in a product specification data set and/or a price data set. Each obtained market transaction data set is defined by at least one parameter value and represents market reference price data of a particular period of time. At least one adjustment value is calculated and applied to the market reference price data having parameter values that vary from the at least one item identified in the product specification data set, transforming the market reference price data and generating a plurality of normalized market reference price data sets. A synthetic market value is determined for the at least one item in the product specification data set and/or the price data set.

Abstract: Methods and computer storage media provide for evaluating the market value of items. A product specification data set identifies an item defined by two or more parameters, or items that differ in accordance with at least one parameter. For at least one item, transaction data sets that include previously-exposed transaction data between buyers and sellers are obtained. The transaction data represents market reference price data of a particular period of time. The market reference price data is adapted by applying one or more pre-defined rules, variables, or criteria operably associated with the item, a parameter of the item, and/or the one or more databases, to the market reference price data, transforming the transaction data sets into normalized market price data sets that are used to calculate a market value for the item, and communicate the market value to an output. In additional embodiments, price data sets are received and evaluated.

Abstract: To disaggregate a single combined price of a bundled product, a computer receives a price data set comprised of component parts that correspond to the component parts of the bundled product. At least one component part differs in accordance with at least one parameter value of another component part. A price for a component part is calculated by obtaining metric data that includes one or more market reference prices responsive to the component part. Using the metric data, a market value is computed for each component part and the computed market values are summed to compute a market value total. A proportional value for at least one component part is generated by dividing the market value of the component part by the market value total. A price for the component part is calculated by multiplying the price data set's single combined price by the component part's proportional value.

Abstract: A computer-readable storage medium contains instructions that cause one or more computing devices to receive a product specification data set identifying one or more items, and price data sets that include one or more items and corresponding price data. For each price data set, metric data is obtained which includes one or more market reference prices for the items in the price data set. A market value of the items is calculated for comparison to the price data in the price data set. The instructions may also cause the one or more computing devices to compare the price data in the price data set to the calculated market value to generate a comparison value. In another embodiment, metric data is obtained for each item in a product specification data set, and a market value of each item is calculated for comparison to the price data in the price data sets.

Abstract: One or more price metrics are generated by retrieving, from a database, one or more price data sets representing a specified time period. Each of the retrieved price data sets includes at least a parameter value, a quoted cost, and a selling unit of measure for at least one item, and is responsive to a product specification data set that includes at least one parameter value and a unit of measure for each of one or more items. In at least one embodiment, a combined item price total is divided by a combined item unit total to generate a metric price per unit for each item in the product specification data set. In another embodiment, a summed individual metric price per unit is divided by the number of individual metric prices to generate an overall metric price per unit for each item in the product specification data set.

Abstract: One or more price metrics are generated by retrieving, from a database, one or more price data sets representing a specified time period. Each of the retrieved price data sets includes at least a parameter value, a quoted cost, and a selling unit of measure for at least one item, and is responsive to a product specification data set that includes at least one parameter value and a unit of measure for each of one or more items. In at least one embodiment, a combined item price total is divided by a combined item unit total to generate a metric price per unit for each item in the product specification data set. In another embodiment, a summed individual metric price per unit is divided by the number of individual metric prices to generate an overall metric price per unit for each item in the product specification data set.

Abstract: One or more price metrics are generated by retrieving, from a database, one or more price data sets representing a specified time period. Each of the retrieved price data sets includes at least a parameter value, a quoted cost, and a selling unit of measure for at least one item, and is responsive to a product specification data set that includes at least one parameter value and a unit of measure for each of one or more items. In at least one embodiment, a combined item price total is divided by a combined item unit total to generate a metric price per unit for each item in the product specification data set. In another embodiment, a summed individual metric price per unit is divided by the number of individual metric prices to generate an overall metric price per unit for each item in the product specification data set.

Abstract: A method for evaluating price data includes receiving a product specification data set that identifies different items. Also received are price data sets that include items and corresponding price data. For each price data set, metric data for each item is obtained. The metric data includes one or more market reference prices for the items in the price data set. Using the metric data, a market value of each item in the price data set is calculated for comparison to the price data in the price data set. The method may also include comparing the price data in the price data set to the calculated market value to generate a comparison value. In another embodiment, metric data is obtained for each item in the product specification data set, and a market value of each item is calculated for comparison to the price data in the price data sets.