Automated system for adapting market data and producing metric values

• US 10,290,008 B2
• Filed: 08/29/2018
• Issued: 05/14/2019
• Est. Priority Date: 06/28/2000
• Status: Expired due to Term

• Current Assignee: Buymetrics Incorporated
• Original Assignee: Buymetrics Incorporated
• Inventors: Hansen, Valerie
• Primary Examiner(s): Delich, Stephanie Z
• Application Number:
  US16/116,175
• Publication Number:
  US 20190005472A1
• Time in Patent Office: 258 Days
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 7/08 Sorting, i.e. grouping record carriers in numerical or other ordered sequence according to the classification of at least some of the information they carry by merging two or more sets of carriers in ordered sequence G06F7/16
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 20/10 specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
• CPC Class Codes: G06Q 20/201 Price look-up processing, e.g. updating
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 30/04 Billing or invoicing
• CPC Class Codes: G06Q 30/0603 Catalogue ordering
• CPC Class Codes: G06Q 30/0611 Request for offers or quotes
• CPC Class Codes: G06Q 30/0623 Item investigation
• CPC Class Codes: G06Q 30/0629 for generating comparisons
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 40/06 : Asset management; Financial planning or analysis
• CPC Class Codes: G06Q 40/08 : Insurance
• CPC Class Codes: G06Q 40/12 : Accounting
• CPC Class Codes: G06Q 50/16 : Real estate
• CPC Class Codes: G06Q 50/188 : Electronic negotiation

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.

Claims

1. In a networked environment, a system comprising:

at least one server that includes;

a network interface;

a processor in communication with the network interface and a non-transitory computer-readable medium having computer-executable instructions stored thereon, wherein execution of the computer-executable instructions by the processor implements system components including at least;

a governing logic component comprising a metric server adapter programmed to manage a plurality of predefined instructions that pertain to at least one evaluation service or to metric data used to provide the at least one evaluation service, including domain or industry or user-agent specific instructions, and to define context-specific instructions for adapting the metric data; and

a production component comprising a metrics application programmed to manage execution of the at least one evaluation service in coordination with the metric server adapter, and to manage one or more user interfaces that, in operation, facilitate interactions with the at least one server;

wherein, at a predefined time or interval of time or in response to a triggering event, the at least one server is configured to implement the at least one evaluation service, which causes the production component to;

obtain time-dependent metric data from at least one data source accessible to the at least one server, wherein the obtained metric data comprises market reference data, including price data for one or more items in a marketplace, the one or more marketplace items having attributes that are responsive to attributes identified for a target item defined by a set of attributes that includes two or more parameter values;

evaluate the attributes of each marketplace item relative to the set of attributes that define the target item to dynamically discover relationships within the attribute data, wherein discovery of at least one relationship comprising a difference enables the governing logic component to contextually define one or more context-specific instructions for adapting the market reference data for a marketplace item having attributes that differ by at least one parameter value from the corresponding attributes identified for the target item;

execute the context-specific instructions, wherein execution of at least one context-specific instruction causes one or more adjustment values to be applied to the market reference data for the marketplace item that differs, automatically transforming the market reference data for the marketplace item into normalized metric data for the target item; and

produce, for the target item, one or more metric values for one or more metrics that pertain to the at least one evaluation service, wherein each metric value is produced, at least in part, using the normalized metric data for the target item.

2. The system of claim 1, wherein coordinated operation of the production component and the governing logic component enables the at least one server to transform the market reference data for the at least one marketplace item that differs into normalized metric data for the target item without relying on a previously learned and constructed model having predefined relations that remain fixed within the model, or on a map identifying all possible relationships, or limiting available metric data to marketplace items that were previously mapped or modeled, or requiring contemporaneous user-agent instruction.

3. The system of claim 1, wherein the production component algorithmically processes the attributes of the marketplace item and the set of attributes defined for the target item to dynamically discover relationships within the attribute data, wherein a discovered relationship can include a new or previously unknown relationship, and wherein discovery of one or more relationships comprising a difference enables the governing logic component to systematically process the set of attributes defined for the target item, each of the discovered relationships comprising a difference, and the plurality of predefined instructions that pertain to the at least one evaluation service, to ascertain which, if any, of the predefined instructions are applicable to the marketplace item in an immediate context identified for the target item, wherein coordinated operation of the production component and the governing logic component enables the governing logic component to contextually evolve context-specific instructions for adapting the metric data, wherein the context-specific instructions defined for the marketplace item are a function of the set of attributes identified for the target item and embody more than the predefined instructions that pertain to the at least one evaluation service.

4. The system of claim 1, wherein the production component is further programmed to store at least one metric value produced for the target item, in association with the set of attributes that define the target item and the time or period of time of the obtained time-dependent metric data, in at least one data storage memory accessible to the at least one server.

5. The system of claim 1, wherein the production component is programmed to manage one or more user interfaces that, in operation, facilitate interactions that enable the at least one server to expose to at least one computing device, via the network interface, at least one of the one or more metric values produced for the target item.

6. The system of claim 1, wherein the production component is further programmed to manage one or more user interfaces that, in operation, enable the at least one server to expose at least one metric value produced for the target item to at least one preprogrammed application, utility, or function that is running on at least one computing device in communication with the at least one server, and to execute movement of data in an integrated data exchange between the at least one server and the at least one computing device, via the network interface, wherein the integrated data exchange does not include a pre-structured electronic data interchange (EDI) transmission.

7. The system of claim 1, wherein transforming the market reference data for the marketplace item into normalized metric data for the target item occurs independent of routine data management protocols, wherein the data management protocols pertain to pre-processing data for use by the at least one server, including data validation, data extraction, data cleansing, and manipulating the form or format of the metric data as required to load the market reference data into a data storage memory accessible to the at least one server.

8. The system of claim 1, wherein the predefined instructions that pertain to the at least one evaluation service were not predefined for, or pre-mapped to, a particular item in the marketplace.

9. The system of claim 1, wherein each metric that pertains to the at least one evaluation service is pre-defined in one or more algorithms that are associated with the particular metric and at least one evaluation service, wherein implementation of the at least one evaluation service further causes the production component to produce the metric value for the particular metric by inserting at least a subset of the normalized metric data for the target item, as data input, into one or more of the algorithms associated with the particular metric and the implemented evaluation service.

10. In a networked environment, a method comprising:

obtaining, by at least one server, time-dependent metric data from at least one data source accessible to the at least one server, wherein the at least one server is operating under control of computer-executable instructions that, when executed by a processor, implement a plurality of system components including at least a governing logic component and a production component, wherein the obtained metric data comprises market reference data, including price data, for one or more items in a marketplace, the one or more marketplace items having attributes that are responsive to attributes identified for a target item defined by a set of attributes that includes two or more parameter values; and

implementing, by the production component, at least one evaluation service that, in operation, includes;

evaluating the attributes of each marketplace item relative to the set of attributes that define the target item to dynamically discover relationships within the attribute data, wherein discovery of at least one relationship comprising a difference enables the governing logic component to contextually define one or more context-specific instructions for adapting the market reference data for a marketplace item having attributes that differ by at least one parameter value from the corresponding attributes identified for the target item;

executing the context-specific instructions, wherein execution of at least one context-specific instruction causes one or more adjustment values to be applied to the market reference data for the marketplace item that differs, automatically transforming the market reference data for the marketplace item into normalized metric data for the target item; and

producing, for the target item, one or more metric values for one or more metrics that pertain to the at least one evaluation service, wherein each metric value is produced, at least in part, using the normalized metric data for the target item.

11. The method of claim 10, wherein the governing logic component comprises a metric server adapter that includes one or more applications, application layers, or modules programmed to manage a plurality of predefined instructions that pertain to the at least one evaluation service or to the metric data used to provide the at least one evaluation service, including domain or industry or user-agent specific instructions, and to define context-specific instructions for adapting the metric data.

12. The method of claim 10, wherein the production component comprises a metrics application that includes one or more applications, application layers, or modules programmed to manage the execution of the at least one evaluation service in coordination with the metric server adapter, and to manage one or more user interfaces that, in operation, facilitate interactions with the at least one server.

13. The method of claim 10, wherein coordinated operation of the production component and the governing logic component enables the at least one server to transform the market reference data of a marketplace item that differs into normalized metric data for the target item without relying on a previously learned and constructed model having predefined relations that remain fixed within the model, or on a map identifying all possible relationships, or limiting the available metric data to marketplace items that were previously mapped or modeled, or requiring contemporaneous user-agent instruction.

14. The method of claim 10, wherein the application of one or more adjustment values to the market reference data for the marketplace item concomitantly changes one or more relationships within the attribute data, wherein further discovery by the production component of at least one relationship comprising a difference triggers the production component to disclose the at least one newly discovered difference to the governing logic component, which enables the governing logic component to further define one or more context-specific instructions in response to the at least one newly discovered difference, wherein the production component executes the context-specific instructions defined by the governing logic component until the marketplace item in the obtained metric data (1) achieves a condition of acceptable alignment with the target item and the adjusted market reference data for the responsive item is used, or (2) is excluded from use for failure to meet a condition of acceptable alignment with the target item.

15. The method of claim 10, wherein implementation of the at least one evaluation service and/or execution of at least one predefined instruction that pertains to the at least one evaluation service further causes the production component to manage the obtained metric data for collective satisfaction of one or more validation rules and/or statistical criteria, including at least one of:

a total volume of responsive marketplace items;

a frequency or liquidity of marketplace items;

a concentration or fragmentation of the marketplace items by transaction type;

or a concentration or fragmentation of the marketplace items by the source of the metric data, wherein the market reference data of the marketplace items in the obtained metric data is collectively determined to satisfy the one or more validation rules and/or statistical criteria and is used, or is collectively determined to not satisfy the one or more validation rules and/or statistical criteria and is excluded from use.

16. The method of claim 10, wherein each metric that pertains to the at least one evaluation service is predefined in one or more algorithms that are associated with the particular metric and at least one evaluation service and stored in at least one memory accessible to the at least one server, wherein implementation of the at least one evaluation service causes the production component to produce the metric value for the particular metric by inserting at least a subset of the normalized metric data for the target item, as data input, into one or more of the predefined algorithms associated with the particular metric and the implemented evaluation service.

17. The method of claim 10, wherein the obtained metric data includes a plurality of market transaction data sets previously exposed by at least one buyer-agent or at least one seller-agent, wherein each obtained market transaction data set is responsive to attributes identified for the target item, and wherein the obtained metric data may include market transaction data that was previously aggregated in one or more data storage memories and exposed to the at least one server by a third-party, via the network interface.

18. The method of claim 10, wherein the production component is further programmed to manipulate the form or format of one or more of the metric values produced for the target item before loading the metric values into a stylized template or document, wherein at a predefined time or a predefined period of time or in response to a triggering event, the production component is further programmed to manage one or more user interfaces that, in operation, enable the at least one server to expose to at least one computing device in communication with the at least one server or at least one output defined in at least one predefined instruction that pertains to the at least one evaluation service one or more of the metric values produced for the target item, and wherein one or more of the user interfaces cause a receiving computing device to display the exposed metric values in a stylized and unified presentation.

19. The method of claim 16, wherein at least one predefined algorithm associated with the at least one evaluation service comprises a replicable mathematical process for determining a mean value, a median value, or variation of a mean or median.

20. The method of claim 10, further comprising producing, by the production component, at least one metric price that comprises a range of market price data values for the target item.

21. The method of claim 10, further comprising producing, by the production component, one or more metric values for the target item over a series of times or delivery dates, wherein the series of times or delivery dates can include one or more dates in the future, and wherein the metric values provide a price curve or trend line for the target item.

22. The method of claim 10, wherein implementation of the at least one evaluation service or execution of at least one predefined instruction that pertains to the at least one evaluation service further causes the production component to monitor for a change in one or more of the metric values produced for the target item, wherein if one or more of the metric values exceeds or falls below a predefined threshold deviation from a corresponding metric value previously produced for the target item, or a predefined base value, or a predefined range of values, the production component is further caused to flag the one or more metric values, and/or to trigger an automatic alert to be communicated to at least one output specified in at least one of the predefined instructions that pertain to the at least one evaluation service, and wherein the production component is further programmed to manage one or more user interfaces that, in operation, expose the alert to the at least one output.

23. The method of claim 10, further comprising obtaining, by the production component, at a predefined time or interval of time or in response to a triggering event, more-current metric data for the target item from at least one data source accessible to the at least one server, and/or excluding previously-obtained market reference data for a marketplace item having attributes that no longer correspond to the attributes identified for the target item, wherein the production component, operating in coordination with the governing logic component, automatically produces one or more more-current metric values for the target item, and wherein an interval of time can include a continuously sliding interval of time that represents a most current period of time.

24. The method of claim 10, wherein one or more parameter values include at least one of a grade, a rating measure, a species or classification, an item type, a brand, a size, a style or design, a unit of measure, a tally, a quantity, a price, a weight, a shipping or receiving location, a method of delivery, a delivery date or time of service, a warranty, a capacity or performance measure, a payment term, or a transaction type.

25. The method of claim 24, wherein the delivery date or time of service specifies one or more fulfillment dates in the future, and comprises a forward price transaction type.

26. The method of claim 24, wherein delivery comprises a financial delivery.

27. The method of claim 10, wherein the target item defined by a set of attributes that includes two or more parameter values represents a specific version or particular form of a physical product, a raw material, an intangible product, a service, or a combination thereof.

28. The method of claim 10, wherein the target item comprises a bundle of items or a packaged product that includes a plurality of items or component parts having attributes that differ by at least one parameter value, and wherein each metric value for the target item is produced, at least in part, using the normalized metric data for each of the plurality of items or component parts in the bundle of items or the packaged product.

29. The method of claim 10, wherein the target item comprises a packaged product that specifies an exchange of at least one item defined by a set of attributes for at least one other item defined by a set of attributes, wherein the other item differs by at least one parameter value from the attributes identified for the at least one item, and wherein at least one metric value produced for the target item comprises the value of the difference between at least one metric value produced for the at least one item and a corresponding metric value produced for the at least one other item.

30. The method of claim 10, wherein the obtained metric data comprises previously processed market reference data, including price data, for a particular marketplace item having attributes that are responsive to attributes identified for the target item, wherein the particular marketplace item is predefined by a set of attributes that includes two or more parameter values in one or more rules established by a regulated exchange, a trading venue or a price reporting service.

31. The method of claim 10, further comprising managing, by the production component, one or more user interfaces that, in operation, facilitate interactions that enable a user-agent computing device in communication with the at least one server to enter at least one domain, industry or user-agent specific instruction that defines a metric, wherein the user-agent is enabled to identify or select assessment variables and to specify one or more functions or algorithms with which to produce the user-agent defined metric, and to associate the metric with at least one evaluation service, and wherein at least one of the one or more user interfaces further enables the user-agent computing device to further associate evaluation criteria with the user-agent defined metric and/or to specify one or more data inputs required to produce the metric value, wherein the production component is further programmed to save the user-agent predefined instruction in association with, at least, the specific domain, industry or user-agent and the at least one evaluation service, in at least one data storage memory accessible to the at least one server.

32. The method of claim 10, wherein implementation of the at least one evaluation service and/or execution of one or more of the predefined instructions that pertains to the at least one evaluation service further causes the production component, at a predefined time or interval of time or in response to a triggering event, to evaluate the performance of two or more metric values previously produced for the target item, wherein the production component is programmed to automatically obtain from one or more data sources accessible to the at least one server, time-dependent market reference data representing consummated marketplace transactions, including price data, for the target item, and to compare the price data identified in one or a combination of the consummated marketplace transactions to each metric value previously produced for the target item, wherein the comparison enables the evaluation service, or at least one user-agent computing device in communication with the at least one server, to ascertain which of the previously-produced metrics most accurately predicted the price paid for the target item in the marketplace.

33. The method of claim 10, further comprising managing, by the production component, one or more user interfaces that, in operation, facilitate interactions that enable a user-agent computing device in communication with the at least one server to predefine at least one domain, industry or user-agent specific instruction for the at least one evaluation service, wherein at least one of the one or more user interfaces enables the user-agent to identify or select a set attributes including two or more parameter values to define a target item, and to associate the instruction with at least one particular domain, industry or user-agent, and further enables the user-agent computing device to associate the target item with one or more other items or item types or transaction types, and wherein the production component is further programmed to store the at least one user-agent predefined instruction in association with, at least, the set of attributes that define the target item, at least one domain, industry or user-agent and the at least one evaluation service, in at least one data storage memory accessible to the at least one server.

34. The method of claim 33, wherein one or more of the user interfaces, in operation, further enables the user-agent computing device to identify and associate a unique label or code with the user-agent defined target item, and/or to cause one or more sources of metric data, or at least one other predefined instruction that pertains to the at least one evaluation service, to be associated with the user-agent defined target item.

35. The method of claim 10, wherein at least one context-specific instruction defined by the governing logic component is expressed as “

IF condition THEN action”

, wherein the production component;

is caused to conditionally manage the application of one or more adjustment values to the market reference data for the marketplace item.

36. The method of claim 10, further comprising filtering, by the production component, the marketplace items in the obtained metric data for inclusion or exclusion using one or more predefined control values, criteria, and/or parameter values specified in one or more of the predefined instructions that pertain to the at least one implemented evaluation service.

37. The method of claim 10, wherein the production component is programmed to query;

a plurality of databases or data sources accessible to the at least one server or to monitor one or more data streams to obtain the metric data for the target item.

38. The method of claim 37, wherein the production component is further programmed to pre-process the accessible metric data using one or more data management protocols, wherein the data management protocols pertain to the pre-processing of the metric data for use by the at least one server, including data validation, data extraction, data cleansing, or manipulating the form or format of the metric data as required to load the metric data into a data storage memory accessible to the at least one server, and wherein the transformation of the market reference data for a responsive marketplace item that differs into normalized metric data for the target item occurs independent of the one or more data management protocols.

39. The method of claim 10, wherein the production component is further programmed to convert data defined by a unit of measure into standardized or common units of measure and to use only data possessing consistent units of measure to produce the one or more metric values for the target item, wherein the transformation of the market reference data for the at least one marketplace item that differs occurs independent of the unit-of-measure conversion of data defined by a unit of measure.

40. The method of claim 10, wherein at least one predefined instruction that pertains to the at least one evaluation service associates the target item with at least one alternate item, wherein the alternate item is a different item and/or a substitute item for the target item, wherein each alternate item is identified by a set of attributes that includes two or more parameter values, wherein, in operation, the production component is caused to obtain time-dependent metric data from at least one data source accessible to the at least one server, wherein the obtained metric data represents market reference data, including price data, for one or more marketplace items having attributes that are responsive to attributes identified for the at least one alternate item, and wherein the governing logic component uses the market reference data for the alternate item to define one or more context-specific instructions for adapting the market reference data for the alternate item, wherein execution of the context-specific instruction causes the production component to apply a formula, rule or correlation to the market reference data for the alternate item, transforming the market reference data for the alternate item into normalized metric data for the target item.

41. The method of claim 10, wherein at least one context-specific instruction defined by the governing logic component causes the production component to use one or more curve-fit algorithms to generate one or more of the adjustment values to be applied to the market reference data for a responsive item that differs, wherein each adjustment value serves to minimize a difference between a parameter value identified for the marketplace item that differs and (1) an average of the marketplace items in the obtained metric data having attributes that correspond to the set of attributes defined for the target item, or (2) an average value for the at least one parameter derived from a control group.

42. The method of claim 16, wherein at least one metric that pertains to the at least one evaluation service further causes the production component to retrieve one or more metric values previously produced for the target item, or a predefined base value, or one or more time-dependent market price data values reported by an exchange or trading venue or one or more other evaluation services or price reporting services, wherein the retrieved data is further inserted, as data inputs, into one or more of the predefined algorithms, associated with the particular metric and the implemented evaluation service, to produce the at least one metric value.

43. The method of claim 10, further comprising producing, by the production component, documentation that enables an audit of a previously-produced metric value, wherein the production component, operating in coordination with the governing logic component, is programmed to document the data and process steps used to transform the market reference data for the at least one marketplace item into normalized metric data for the target item by replicating the process steps of the at least one evaluation service using the data that was previously used in each process step, and to manage one or more user interfaces that, in operation, enable the at least one server to communicate, via the network interface, the documentation to one or more computing devices in communication with the at least one server or at least one output specified in at least one predefined instruction that pertains to the at least one evaluation service.

44. The method of claim 12, further comprising managing, by the production component, one or more user interfaces that, in operation, facilitate data communications in XML format, enabling the production component to dynamically change, dynamically route, and/or pre-configure the data for movement in an integrated data exchange.

45. The method of claim 10, wherein implementation of the at least one evaluation service and/or execution of at least one predefined instruction that pertains to the at least one evaluation service further causes the production component to obtain only metric data resulting from a computer-based interaction or to use only market reference data resulting from electronically-created market transaction data to produce the one or more metric values for the target item, wherein the electronically-created market reference data includes data comprising a timestamp that identifies the particular time or period of time, and wherein the obtained metric data does not include human-reported market transaction data that was manually transcribed into a digital format.

46. The method of claim 10, wherein the plurality of predefined instructions that pertain to the at least one evaluation service include one or more domain or industry specific instructions and/or one or more user-agent specific instructions, wherein the coordinated operation of the production component and the governing logic component enables the production component to manage the execution of the at least one evaluation service in a manner that is customized for the user-agent and/or the domain and/or the industry, and to produce one or more metric values that are customized for the user-agent and/or the domain and/or industry, wherein the coordinated operation of the production component and the governing logic component enables the customized evaluation service to be accomplished without custom-coding the computer-executable instructions that comprise the production component.

47. In a networked environment, a non-transitory computer-readable medium having computer-executable instructions stored thereon, wherein the computer-executable instructions, when executed by a processor of at least one server, causes the at least one server to implement a plurality of system components including at least a governing logic component and a production component, and to perform operations comprising:

obtaining, by the at least one server, time-dependent metric data from at least one data source accessible to the at least one server, wherein the obtained metric data comprises market reference data, including price data, for one or more items in the marketplace, the one or more marketplace items having attributes that are responsive to attributes identified for a target item defined by a set of attributes that includes two or more parameter values; and

implementing at least one evaluation service, wherein the computer-executable instructions cause the production component of the at least one server to;

evaluate the attributes of each marketplace item relative to the set of attributes that define the target item to dynamically discover relationships within the attribute data, wherein discovery of at least one relationship comprising a difference enables the governing logic component to contextually define one or more context-specific instructions for adapting the market reference data for a marketplace item having attributes that differ by at least one parameter value from the corresponding attributes identified for the target item;

execute the context-specific instructions, wherein execution of at least one context-specific instruction causes one or more adjustment values to be applied to the market reference data for the marketplace item that differs, automatically transforming the market reference data for the marketplace item into normalized metric data for the target item; and

produce, for the target item, one or more metric values for one or more metrics that pertain to the at least one evaluation service, wherein each metric value is produced, at least in part, using the normalized metric data for the target item.

48. The computer-readable medium of claim 47, wherein the computer-executable instructions, when executed, cause the production component to manage the execution of the at least one evaluation service in coordination with the metric server adapter, and to manage one or more user interfaces that, in operation, facilitate interactions with the at least one server.

49. The computer-readable medium of claim 47, wherein the computer-executable instructions, when executed, cause the governing logic component to manage a plurality of predefined instructions that pertain to the at least one evaluation service or to the metric data used to provide the at least one evaluation service, including domain or industry or user-agent specific instructions, and to define context-specific instructions for adapting the metric data.

50. The computer-readable medium of claim 47, wherein the computer-executable instructions, when executed, cause the production component to execute at least one context-specific instruction defined by the governing logic component that causes one or more adjustment values to be applied to the market reference data for a marketplace item that differs, concomitantly changing one or more relationships within the attribute data for the marketplace item and target item, wherein further discovery, by the production component, of one or more relationships comprising a difference enables the governing logic component to further define one or more context-specific instructions in response to the at least one newly-discovered difference, wherein the production component executes the context-specific instructions defined by the governing logic component until the responsive marketplace item in the obtained metric data (1) achieves a condition of acceptable alignment with the target item and the adjusted market reference data for the marketplace item is used, or (2) is excluded from use for failure to meet a condition of acceptable alignment with the target item.