Automated system for adapting market data for transaction cost analysis

• US 10,262,307 B2
• Filed: 08/20/2018
• Issued: 04/16/2019
• 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): Niquette, Robert R
• Application Number:
  US16/105,653
• Publication Number:
  US 20180357618A1
• Time in Patent Office: 239 Days
• Field of Search: None
• 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. 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.

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

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

wherein, in operation, the at least one server is configured to;

receive or retrieve at least one transaction data set, wherein each transaction data set is associated with a particular time or period of time and identifies price data for at least one item defined by a set of attributes that includes two or more parameter values or a plurality of items having attributes that differ by at least one parameter value; and

wherein receipt or retrieval of at least one transaction data set causes the production component, for at least one item identified in the at least one transaction data set, 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 responsive items having attributes that are responsive to attributes defined for a respective item identified in the transaction data set, wherein each responsive item in the metric data possesses a plurality of attributes that include at least one parameter value;

evaluate the plurality of attributes possessed by each responsive item relative to the set of attributes defined for the respective item to dynamically discover relationships within the attribute data, wherein discovery of one or more relationships comprising a difference enables the governing logic component to contextually define one or more transaction-specific instructions for adapting the market reference data for the responsive item;

execute the transaction-specific instructions, wherein execution of at least one transaction-specific instruction causes one or more adjustment values to be applied to the market reference price data for at least one responsive item that differs by at least one parameter value from the respective item identified in the transaction data set, automatically transforming the market reference data for the responsive item into normalized metric data for the respective item, and producing one or more transaction-specific market price data values for the respective item;

generate, for the at least one transaction data set, one or more evaluation measures that pertain to the at least one evaluation service, wherein each evaluation measure is based, at least in part, on one or a combination of the transaction-specific market price data values produced for the respective item or items identified in the at least one transaction data set; and

expose one or more of the evaluation measures to at least one computing device in communication with the at least one server.

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 responsive item into normalized metric data for the respective item without relying on a pre-constructed model having predefined relations that remain fixed within the model, or a map of all possible relationships, or limiting discovery to relationships that were pre-mapped, or requiring contemporaneous user-agent instruction, wherein a discovered relationship can include a new or previously unknown relationship.

3. The system of claim 1, wherein the governing logic component systematically processes the set of attributes defined for the respective item, each of the discovered one or more 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 responsive item in the immediate context of the respective item, which enables the governing logic component to contextually define the one or more transaction-specific instructions for adapting the market reference data for the responsive item, wherein the transaction-specific instructions embody more than a filtered subset of the predefined instructions that pertain to the at least one evaluation service, and wherein the market reference data for the responsive item is transformed by applying the one or more adjustments to the market reference price data for the responsive item.

4. The system of claim 1, wherein execution, by the production component, of at least one transaction-specific instruction defined by the governing logic component causes one or more adjustment values to be applied to the market reference price data for a responsive item that differs by at least one parameter value, the one or more applied adjustment values concomitantly changing one or more relationships within the attribute data, wherein further discovery, by the production component of one or more relationships comprising a difference, triggers an automatic disclosure of the one or more newly-discovered relationships to the governing logic component, wherein the governing logic component contextually evolves one or more transaction-specific instructions in response to the one or more newly-discovered relationships, and wherein the production component executes the transaction-specific instructions defined by the governing logic component until the responsive item in the obtained metric data (1) achieves a condition of acceptable alignment with the respective item and is used, or (2) is excluded from use for failure to meet a condition of acceptable alignment with the respective item.

5. The system of claim 1, wherein at least one transaction data set is received or retrieved in response to an analysis query received by the at least one server, via the network interface, from a user-agent computing device, wherein the analysis query specifies a plurality of assessment variables for the at least one evaluation service.

6. The system of claim 5, wherein the production component is caused to limit the received or retrieved transaction data sets to transaction data sets that satisfy the assessment variables specified in the analysis query, wherein at least one assessment variable specifies at least one of a particular buyer-agent or group of buyer agents, a particular seller-agent or group of seller-agents, a trading venue, a particular time or period of time, a particular purchase process, trading protocol, or strategy, a particular transaction type, item type, or method of delivery, a particular size, volume, or trade frequency, or a particular combination of assessment variables identified by the user-agent computing device.

7. The system of claim 1, 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 causes the production component to generate at least one evaluation measure that comprises a relative value measure, wherein price data identified for the at least one item in the at least one transaction data set is compared to one or a combination of the transaction-specific market price data values produced for the respective item or items as identified in the at least one transaction data set, wherein the relative value measure is indicative of whether the price data identified for the at least one item in the at least one transaction data set fell short, met or exceeded the transaction-specific market price data values produced for the respective item or items identified in the at least one transaction data set, and wherein the normalized metric data for the respective item or items in the transaction data set takes into account all relevant differences between respective item or items and the market reference data for the responsive item or items in the obtained metric data.

8. The system of claim 1, 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 causes the production component to generate at least one evaluation measure that comprises a relative value measure, wherein price data identified for the at least one item in the at least one transaction data set is divided by one or a combination of the transaction-specific market price data values produced for the respective item or items identified in the at least one transaction data set, wherein the quotient is expressed as a ratio or index value, wherein a ratio or index value greater than one (1.0) indicates the identified price data is higher than the transaction-specific market price data value(s) produced for the respective item or items, and a ratio or index value less than one (1.0) indicates the identified price data is less than the transaction-specific market price data value(s) produced for the respective item or items.

9. The system of claim 8, wherein the relative value measure provides objective criteria that reduces the complexity of assessing the execution of at least one previously executed transaction data set or predicting the outcome of a contemplated purchase transaction, wherein a buy-side transaction with a lowest ratio or index value represents an optimal or best execution, and a buy-side transaction with a highest ratio or index value represents a sub-par or worst execution.

10. The system of claim 1, 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 causes the production component to generate at least one evaluation measure that represents a value of the difference between the price data identified in the at least one transaction data set and one or a combination of the transaction-specific market price data values produced for the respective item or items identified in the at least one transaction data set, wherein the value of the difference is expressed as a numerical value, a percentage, or a ratio or index value, and wherein a positive numerical value, or a percentage over 100%, or a ratio or index value greater than one (1.0) is a measure of lost opportunity cost in a buy transaction, and wherein a negative numerical value, or a percentage below 100%, or a ratio or index value less than one (1.0) is a measure of lost opportunity cost in a sell transaction.

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

12. 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 data set.

13. The system of claim 1, wherein the at least one server comprises a multi-tenant system, wherein the at least one evaluation service is provided to a plurality of tenants.

14. The system of claim 1, wherein the production component is programmed to coordinate invocation of subroutines of the at least one evaluation service, in parallel, in combination, or sequentially.

15. In a networked environment, a method comprising:

receiving or retrieving, by at least one server, at least one transaction data set, 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 each transaction data set is associated with a particular time or period of time and identifies price data for at least one item defined by a set of attributes that includes two or more parameter values or a plurality of items having attributes that differ by at least one parameter value; and

wherein receipt or retrieval of at least one transaction data set causes the production component to implement at least one evaluation service, wherein the method, in operation, includes;

obtaining, by the production component, 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 responsive items having attributes that are responsive to attributes defined for a respective item identified in the transaction data set, wherein each responsive item in the metric data possesses a plurality of attributes that include at least one parameter value;

evaluating, by the production component, the plurality of attributes possessed by each responsive item relative to the set of attributes defined for the respective item to dynamically discover relationships within the attribute data, wherein discovery of one or more relationships comprising a difference enables the governing logic component to contextually define one or more transaction-specific instructions for adapting the market reference data for the responsive item;

executing, by the production component, the transaction-specific instructions, wherein execution of at least one transaction-specific instruction causes one or more adjustment values to be applied to the market reference price data for at least one responsive item that differs by at least one parameter value from the respective item identified in the transaction data set, automatically transforming the market reference data for the responsive item into normalized metric data for the respective item, and producing one or more transaction-specific market price data values for the respective item;

generating, for the at least one transaction data set, by the production component, one or more evaluation measures that pertain to the at least one evaluation service, wherein each evaluation measure is based, at least in part, on one or a combination of the transaction-specific market price data values produced for the respective item or items identified in the at least one transaction data set; and

exposing, by the production component, one or more of the evaluation measures to at least one computing device in communication with the at least one server.

16. The method of claim 15, wherein the governing logic component includes one or more applications, application layers, or modules that 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.

17. The method of claim 16, wherein the governing logic component systematically processes the set of attributes defined for the respective item, each of the discovered one or more 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 responsive item in the immediate context of the respective item, which enables the governing logic component to contextually define the one or more transaction-specific instructions for adapting the market reference data for the responsive item, wherein the transaction-specific instructions embody more than a filtered subset of the predefined instructions that pertain to the at least one evaluation service, and wherein the market reference data for the responsive item is transformed by applying the one or more adjustments to the market reference price data for the responsive item.

18. The method of claim 15, wherein the production component includes one or more applications, application layers, or modules programmed to manage one or more analysis processes, execute the at least one evaluation service in coordination with the governing logic component, and manage one or more user interfaces that, in operation, facilitate interactions with the at least one server.

19. The method of claim 15, 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 responsive item into normalized metric data for the respective item without relying on a pre-constructed model having predefined relations that remain fixed within the model, or a map of all possible relationships, or limiting discovery to relationships that were pre-mapped, or requiring contemporaneous user-agent instruction, wherein a discovered relationship can include a new or previously unknown relationship.

20. The method of claim 15, 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 causes the production component to generate at least one evaluation measure that comprises a relative value measure, wherein price data identified for the at least one item in the at least one transaction data set is compared to one or a combination of the transaction-specific market price data values produced for the respective item or items as identified in the at least one transaction data set, wherein the relative value measure is indicative of whether the price data identified for the at least one item in the at least one transaction data set fell short, met or exceeded the transaction-specific market price data values produced for the respective item or items identified in the at least one transaction data set, wherein the normalized metric data for the respective item or items in the transaction data set takes into account all relevant differences between the respective item or items and the market reference data for the responsive item or items in the obtained metric data.

21. The method of claim 20, wherein the relative value measure is expressed as a percentage of one or a combination of the transaction-specific market price data value(s) produced for the respective item or items as identified in the at least one transaction data set, wherein a percentage greater than one hundred (100%) indicates the identified price data is higher than the transaction-specific market price data value(s), and a percentage lower than one hundred (100%) indicates the identified price data is less than the transaction-specific market price data value(s).

22. The method of claim 21, wherein the relative value measure provides objective criteria that reduces the complexity of assessing the execution of the at least one previously-executed transaction data set or predicting the outcome of a contemplated purchase transaction, wherein a buy-side transaction with a lowest percentage value represents an optimal or best execution, and a buy-side transaction with a highest percentage value represents a sub-par or worst execution.

23. The method of claim 15, wherein invocation 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 causes the production component to generate at least one evaluation measure that comprises a relative value measure, wherein price data identified for the at least one item in the at least one transaction is divided by one or a combination of the transaction-specific market price data values produced for the item or items identified in the at least one transaction, wherein the quotient is expressed as a ratio or index value, wherein a ratio or index value greater than one (1.0) indicates the identified price data is higher than the transaction-specific market price data value(s) produced for the respective item or items, and a ratio or index value less than one (1.0) indicates the identified price data is less than the transaction-specific market price data value(s) produced for the respective item or items.

24. The method of claim 15, wherein invocation 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 aggregate a plurality of transaction-specific market price data values produced for a respective item into a single combined transaction-specific market price data value for the respective item, wherein the plurality of transaction-specific market price data values produced for the respective item are automatically inserted, as data inputs, into one or more predefined methods or algorithms associated with the at least one evaluation service to produce the single combined transaction-specific market price data value for the respective item, and wherein at least one predefined method or algorithm comprises a replicable mathematical process for determining a mean value, a median value, or variation of a mean or median.

25. The method of claim 15, 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 causes the production component to flag a received or retrieved transaction data set, 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 pertains to the at least one evaluation service, when price data identified in the transaction data set exceeds or falls below a predefined threshold deviation from one or a combination of the transaction-specific market price data values produced for the respective item or items identified in the transaction data set.

26. The method of claim 15, wherein one or more of the predefined instructions that pertain to the at least one evaluation service cause the production component to manage the market reference data of a plurality of responsive items in 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 item data in units per item;

a frequency or liquidity of responsive items;

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

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

27. The method of claim 15, 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 generate at least one longitudinal evaluation measure for a particular buyer agent, seller agent, or trading venue over one or more periods of time, wherein one or a combination of the transaction-specific market price data values produced for each respective item and/or one or more of the evaluation measures generated for each of a plurality of received or retrieved transaction data sets associated with the at least one buyer agent, seller agent, or trading venue are aggregated and used, at least in part, to generate the at least one longitudinal evaluation measure for the at least one buyer agent, seller agent, or trading venue.

28. The method of claim 15, wherein the production component is further programmed to manage one or more user interfaces that, in operation, enable a user-agent computing device in communication with the at least one server to define a new evaluation service by identifying or selecting a plurality of assessment variables and evaluation measures that pertain to the new evaluation service, or to modify one or more of the assessment variables and/or one or more evaluation measures previously defined for at least one evaluation service, or to join two or more evaluation services to form a combined evaluation service, wherein the new, modified or combined evaluation service is associated by the user-agent computing device with a particular domain or industry and/or at least one particular user-agent, and wherein the production component is further programmed to store the new, modified or combined evaluation service in association with the particular domain or industry and/or the at least one particular user-agent in at least one data storage memory accessible to the at least one server.

29. The method of claim 28, wherein one or more of the user interfaces, in operation, further enables the user-agent computing device to identify or select a rank or weight factor to be associated with at least one assessment variable and/or evaluation measure identified or selected by the user-agent computing device.

30. The method of claim 15, 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 an item by a set of attributes that includes two or more parameter values, and to associate the at least one predefined item with one or more other items, attributes, parameters, sources of metric data, events, and/or one or more predefined instructions that pertain to the at least one evaluation service, collectively forming a compound, grouped, or multi-variant data object.

31. The method of claim 30, wherein one or more of the user interfaces, in operation, further enables the user-agent computing device to identify a unique label or code to be associated with the compound, grouped, or multi-variant data object.

32. The method of claim 15, wherein at least one evaluation measure generated by the production component is a comparative measure, wherein one or a combination of the transaction-specific market price data values produced for the respective item or items identified in the at least one transaction data set is compared to one or a combination of the transaction-specific market price data values produced for the respective item or items at a previous time, or to a predefined base value, or to one or more price data values reported for the respective item or items by a third-party price reporting service.

33. The method of claim 32, wherein the comparing includes determining a value of the difference between the price data identified for the at least one item in the at least one transaction data set and one or a combination of the transaction-specific market price data values produced for the respective item or items at the time the transaction was consummated, wherein the value of the difference is expressed as a numerical value, a percentage, or a ratio or index value.

34. The method of claim 32, wherein the comparing includes determining a value of the difference between one or a combination of the transaction-specific market price data values produced for the respective item or item at one or more times before the transaction was consummated and one or a combination of the transaction-specific market price data values produced for the respective item or items at the time the transaction was consummated, wherein the value of the difference serves to isolate a change in the underlying market value from the execution of the transaction.

35. The method of claim 15, wherein at least one of the one or more evaluation measures generated by the production component is a synthetic measure, wherein one or more externally-produced or third-party reported market price data values or evaluation measures are automatically inserted along with one or a combination of the transaction-specific market price data values produced for the respective item or items or one or more of the evaluation measures generated for the at least one transaction data set, as data inputs, into one or more predefined algorithms associated with the at least one evaluation service to generate the synthetic evaluation measure.

36. The method of claim 15, wherein at least one of the one or more evaluation measures generated by the production component is a composite measure, wherein two or more evaluation measures produced for the at least one transaction data set are automatically inserted, as predefined inputs, into one or more predefined algorithms associated with the at least one evaluation service to generate the composite evaluation measure.

37. The method of claim 15, further comprising a querying, by the production component, a plurality of databases or data sources or to monitor one or more data streams to obtain metric data for at least one item identified in at least one received or retrieved transaction data set.

38. The method of claim 37, further comprising pre-processing the 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 data as required to load the pre-processed metric data into a data storage memory accessible to the at least one server.

39. The method of claim 38, wherein the transformation of the market reference data for the responsive item into normalized metric data for the respective item occurs independent of the one or more data management protocols.

40. The method of claim 15, wherein the price data identified in the at least one transaction data set represents the total price, including all costs required to fulfill the transaction.

41. The method of claim 15, wherein one or more of the 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.

42. The method of claim 41, wherein the delivery date or time of service specifies one or more fulfillment dates in the future, and comprises a forward price transaction type.

43. The method of claim 41, wherein delivery comprises a financial delivery.

44. The method of claim 41, wherein delivery comprises an exchange of at least one item for at least one other item, and wherein the at least one other item differs by at least one parameter value from the at least one item.

45. The method of claim 44, wherein at least one predefined instruction that pertains to the at least one evaluation service specifies predefined validation rules or criteria to be satisfied for an acceptable exchange.

46. The method of claim 41, wherein the payment term specifies at least one term of payment or deferred payment, including at least one of an invoice date, a payment or settlement date, a third party payment-processor or clearing entity, a rate of interest applicable to a deferred payment, a service fee, a transaction fee, an incentive fee or points, a tax, a rebate, or a payment currency.

47. The method of claim 15, wherein at least one transaction data set received or retrieved by the at least one server identifies a plurality of items comprising a packaged product that specifies the exchange of at least one item for at least one other item, wherein each side of the exchange identifies at least one item having a set of attributes that include two or more parameter values or a plurality of items having attributes that differ by at least one parameter value, wherein each item identified in the packaged product is only sold in combination with all items identified in the packaged product, and wherein the production component, operating in coordination with the governing logic component, automatically produces one or more transaction-specific market price data values for each side of the exchange, and uses the transaction-specific market price data values to generate at least one evaluation measure that comprises a value of the difference between one or a combination of the transaction-specific market price data values produced for the respective item or items on each side of the exchange specified in the packaged product.

48. The method of claim 15, wherein a time of the time-dependent metric data includes a time or period of time contemporaneous with the particular time or period of time associated with the at least one previously-executed transaction data set.

49. The system of claim 15, wherein a time of the time-dependent metric data includes a continuously sliding interval of time that represents a most current time or period of time.

50. The method of claim 15, wherein at least one predefined instruction that pertains to the at least one evaluation service causes the production component to generate one or more evaluation measures for the at least one transaction data set continuously, or over a series of times, periods of time, and/or delivery dates, wherein the series of times, periods of time, and/or delivery dates can include one or more times before or after the particular time or period of time associated with the at least one transaction data set, including one or more times in the future.

51. The method of claim 15, 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 causes the production component to manage one or more user interfaces that, in operation, facilitate interactions that cause a user-agent computing device in communication with the at least one server to be configured to receive a data communication, wherein the at least one server exposes one or more of the evaluation measures generated for the at least one transaction data set to the user-agent computing device, wherein the user-agent computing device is caused to visually display the exposed data in a particular manner or style specified by the at least one server.

52. The method of claim 15, further comprising imputing, by the production component, one or more item attributes, parameters, or associations using one or more mathematical or statistical processes applied using at least one known item, attribute, or parameter identified in the at least one transaction data set.

53. The method of claim 15, wherein the item or items identified in the at least one transaction data set represent a specific version or particular form of a raw material, a physical product, an intangible product, a service, or a combination thereof.

54. The method of claim 15, 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 causes the production component to obtain only metric data resulting from a computer-based interaction and/or to use only electronically-created market reference price data to produce the one or more transaction-specific market price data values for the respective item or items, wherein the electronically-created market reference price 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 transaction data that was manually transcribed into a digital format.

55. The method of claim 15, further comprising converting, by the production component, data defined by a unit of measure into standardized or common units of measure and using only data possessing consistent units of measure to produce the one or more transaction-specific market price data values for the respective item or items, wherein the one or more adjustment values applied to the market reference price data for at least one responsive item that differs by at least one parameter value are not related to unit-of-measure conversion of data defined by a unit of measure.

56. The method of claim 15, wherein at least one predefined instruction that pertains to the at least one evaluation service associates a particular item, defined by a set of attributes that include two or more parameter values, with at least one alternate item, defined by a set of attributes that differ by at least one parameter value from the set of attributes defined for the particular item, wherein, in operation, upon receipt or retrieval of a transaction data set identifying the particular item, the production component automatically obtains 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 responsive items possessing attributes that are responsive to the set of attributes defined for the at least one alternate item, and wherein the at least one predefined instruction causes the governing logic component to define one or more transaction-specific instructions that, when executed, cause the production component to apply a formula, rule or correlation to the market reference price data for the at least one alternate item, transforming the market reference data for the alternate item into normalized metric data for the particular item.

57. The method of claim 15, wherein at least one transaction-specific instruction defined by the governing logic component causes the production component to use one or more curve-fit algorithms to determine at least one adjustment value to be applied to the market reference price data for at least one responsive item that differs by at least one parameter value from the respective item, wherein each applied adjustment value serves to minimize a difference between the responsive item with the differing parameter and (1) an average of the obtained metric data having attributes that match the at least one parameter defined for the respective item, or (2) an average value for at least one parameter derived from a control group.

58. The method of claim 15, wherein at least one transaction data set received or retrieved by the at least one server identifies price data that is defined as a formula, in which the price for the at least one item is to be determined at one or more specified times or delivery dates in the future using, at least in part, one or more transaction-specific market price data values to be produced by the at least one evaluation service and/or one or more externally-produced market prices to be reported by one or more predefined price reporting services, wherein, at the one or more specified times or delivery dates, the production component automatically obtains the one or more reported market prices or produces the one or more transaction-specific market price data values for the respective item or items, and calculates the price data in accordance with the defined formula.

59. The method of claim 15, further comprising producing, by the production component, documentation that enables an audit of a previously-generated evaluation measure, wherein the production component, operating in coordination with the governing logic component, is programmed to document the data and process steps used by the at least one evaluation service to produce the one or more transaction-specific market price data values for the respective item or items identified in the at least one transaction data set by replicating the process steps of the at least one evaluation service using the data that was previously associated with and used in each process step, and managing at least one interface 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.

60. The method of claim 15, wherein implementation of the at least one evaluation service and/or execution of one or more of the predefined instructions that pertain to the at least one evaluation service further causes the production component to, continuously, or at a predefined time or interval of time, or in response to a triggering event, obtain more-current metric data for a respective item identified in the at least one transaction data set, or to exclude previously-obtained metric data that is no longer responsive to the respective item, wherein the production component, operating in coordination with the governing logic component, uses the more-current metric data to automatically produce one or more more-current transaction-specific market price data values for the respective item, and to use the more-current transaction-specific market price data values produced for the respective item or items, at least in part, to generate one or more more-current evaluation measures for the at least one transaction data set.

61. The method of claim 60, wherein at least one evaluation measure that pertains to the at least one evaluation service further causes the production component to determine a value of the difference between one or a combination of the one or more more-current transaction-specific market price data values produced for the respective item and one or a combination of the transaction-specific market price data values produced for the respective item at a previous time or period of time, or a predefined base value, or one or more price data values reported for the respective item by a third-party price reporting service, wherein the value of the difference is expressed as a numerical value, a percentage, or a ratio or index value.

62. The method of claim 15, wherein at least one application or a user-agent associated with at least one computing device in communication with the at least one server uses one or more of the exposed evaluation measures, at least in part, to set or re-set a selling price, or to update a bid, quote or contract, or to update cost data for one or more inputs to a manufactured or fabricated product, or to re-value the respective item or items identified in the transaction data set for a clearing entity, a lender, a tax-related calculation, a pro-forma financial statement, or an insurance policy.

63. The method of claim 15, further comprising using one or more of the exposed evaluation measures, at least in part, to monitor trading activity and identify outliers, to measure and/or compare one or more buy/sell processes or trade strategies or risk management strategies, to measure and/or compare one or more buyer-agents or seller-agents or trading venues, or to measure and/or compare the at least one transaction for regulatory compliance.

64. The method of claim 15, further comprising using one or more of the exposed evaluation measures to model and/or measure implicit costs related to the at least one transaction data set, including lost opportunity costs.

65. The method of claim 15, wherein one or more evaluation services are predefined and stored in at least memory accessible to the at least one server, wherein implementation of a particular evaluation service causes the production component to produce, for the at least one received or retrieved transaction data set, at least one evaluation metric that pertains to the implemented evaluation service, wherein each evaluation metric is generated by inserting at least a subset of the normalized metric price data produced for the item or items identified in the transaction data set, as data inputs, into one or more predefined methods or algorithms that are specified in one or more predefined instructions that pertain to the implemented evaluation service.

66. The method of claim 15, wherein at least one received or retrieved transaction data set identifies a single combined price for a plurality of items comprising a bundled product, wherein the plurality of items have attributes that differ by at least one parameter value, and wherein each of the one or more evaluation measures is generated, at least in part, using the transaction-specific market price data values produced for each item or component part of the bundled product identified in the at least one received or retrieved transaction data set.

67. The method of claim 15, 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.

68. In a networked environment, a non-transitory computer-readable medium having computer-executable instructions stored thereon, wherein execution of the computer-executable instructions 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:

receiving or retrieving, by the at least one server, at least one transaction data set, wherein each transaction data set is associated with a particular time or period of time and identifies price data for at least one item defined by a set of attributes that includes two or more parameter values or a plurality of items having attributes that differ by at least one parameter value; and

implementing at least one evaluation service wherein, for at least one item identified in the at least one transaction data set, the computer-executable instructions cause the production component of the at least one server 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 responsive items having attributes that are responsive to attributes defined for a respective item identified in the transaction data set, wherein each responsive item in the metric data possesses a plurality of attributes that include at least one parameter value;

evaluate the plurality of attributes possessed by each responsive item relative to the set of attributes defined for the respective item to dynamically discover relationships within the attribute data, wherein discovery of one or more relationships comprising a difference enables the governing logic component to contextually define one or more transaction-specific instructions for adapting the market reference data for the responsive item;

execute the transaction-specific instructions, wherein execution of at least one transaction-specific instruction causes one or more adjustment values to be applied to the market reference price data for at least one responsive item that differs by at least one parameter value from the respective item identified in the transaction data set, automatically transforming the market reference data for the responsive item into normalized metric data for the respective item, and producing one or more transaction-specific market price data values for the respective item;

generate, for the at least one transaction data set, one or more evaluation measures that pertain to the at least one evaluation service, wherein each evaluation measure is based, at least in part, on one or a combination of the transaction-specific market price data values produced for the respective item or items identified in the at least one transaction data set; and

expose one or more of the evaluation measures to at least one computing device in communication with the at least one server.

69. The computer-readable medium of claim 68, wherein the computer-executable instructions, when executed, cause the production component to manage one or more analysis processes, execute the at least one evaluation service in coordination with the governing logic component, and manage one or more user interfaces that, in operation, facilitate interactions with the at least one server.

70. The computer-readable medium of claim 68, 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 the metric data used to provide the at least one evaluation service, including domain or industry or user-agent specific instructions.

71. The computer-readable medium of claim 68, wherein the computer-executable instructions, when executed, cause the governing logic component to manage a conditional execution, by the production component, of a plurality of transaction-specific instructions that specify rules, variables, or criteria, including:

one or more formulas operationally combining elements or using variables relating to a plurality of items, parameters, events, or sources of metric data;

or

a combination of rules, variables, criteria relating to a plurality of items, parameters, events, or metric data sources, the execution of which can be interdependent and/or or conditionally expressed as “

IF condition THEN action”

or priority weighted, sequential, recursive, or subject to another method of control defined by the governing logic component;

or

a combination of evaluation services, wherein at least one evaluation service is combined with at least one configuration-specific instruction that specifies employing a process step, action, function, subroutine, and/or at least one other evaluation service, the execution of which can be interdependent or conditionally expressed as “

IF condition THEN action”

or priority weighted, sequential, recursive, or subject to another method of control defined by the governing logic component;

or

one or more validation rules relating to a plurality of items, parameters, events, metric data sources, or metric data values, the execution of which can be interdependent and/or conditionally expressed as “

IF condition THEN action”

or priority weighted, sequential, recursive, or subject to another method of control defined by the governing logic component,

wherein coordinated operation of the production component and the governing logic component enables the governing logic component to evolve transaction-specific instructions that embody more than a filtered subset of the predefined instructions that pertain to the at least one evaluation service.

72. In a networked environment, a non-transitory computer-readable medium having computer-executable instructions stored thereon, wherein execution of the computer-executable instructions 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:

receiving, by the at least one server, an analysis query from a user-agent computing device, via a network interface, wherein the analysis query specifies a plurality of assessment variables for at least one evaluation service;

receiving or retrieving, responsive to the analysis query, at least one transaction data set, wherein each transaction data set satisfies the specified assessment variables, is associated with a particular time or period of time, and identifies price data for at least one item defined by a set of attributes that include two or more parameter values or a plurality of items having attributes that differ by at least one parameter value; and

implementing the at least one evaluation service wherein, for at least one item identified in the at least one received or retrieved transaction data set, the computer-executable instructions cause the production component of the at least one server 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 responsive items having attributes that are responsive to attributes defined for a respective item identified in the transaction data set, wherein each responsive item in the metric data possesses a plurality of attributes that include at least one parameter value;

evaluate the plurality of attributes possessed by each responsive item relative to the set of attributes defined for the respective item to dynamically discover relationships within the attribute data, wherein discovery of one or more relationships comprising a difference enables the governing logic component to contextually define one or more transaction-specific instructions for adapting the market reference data for the responsive item;

execute the transaction-specific instructions, wherein execution of at least one transaction-specific instruction causes one or more adjustment values to be applied to the market reference price data for at least one responsive item that differs by at least one parameter value from the respective item identified in the transaction data set, automatically transforming the market reference data for the responsive item into normalized metric data for the respective item, and producing one or more transaction-specific market price data values for the respective item;

generate, for the analysis query, one or more evaluation measures that pertain to the at least one evaluation service, wherein each evaluation measure is based, at least in part, on one or a combination of the transaction-specific market price data values produced for the respective item or items identified in the at least one transaction data set; and

expose, one or more of the evaluation measures to the user-agent computing device from which the analysis query was received.

73. The computer-readable medium of claim 72, wherein the computer-executable instructions, when executed, cause the production component to manage one or more analysis processes, execute the at least one evaluation service in coordination with the governing logic component, and manage one or more user interfaces that, in operation, facilitate interactions with the at least one server.

74. The computer-readable medium of claim 72, 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 the metric data used to provide the at least one evaluation service, including domain or industry or user-agent specific instructions.

75. The computer-readable medium of claim 72, wherein the computer-executable instructions, when executed, cause the governing logic component to limit the received or retrieved transaction data sets to transaction data sets that satisfy the user-agent specified assessment variables, wherein at least one assessment variable specifies a particular buyer-agent or group of buyer agents, a particular seller-agent or group of seller-agents, or one or more trading venues, a particular time or period of time, a particular purchase process, trading protocol, or strategy, a particular transaction type, item type, or method of delivery, a particular size, volume, or trade frequency, or a particular combination of assessment variables identified by the user-agent.