Systems and methods for using proxy number tokens with configurable relationship data bindings

1 . A system, comprising:

one or more processors and non-transitory computer-readable media comprising instructions that, when executed by the one or more processors, cause operations comprising:

determine a proxy number token having a configuration comprising a first restriction to limit use of the proxy number token to a first transaction type involving first merchant;

in response to determining, via a machine learning model, a previously undetected association between (i) the first transaction type involving the first merchant with which the proxy number token is configured for use and (ii) a second transaction type involving a second merchant with which the proxy number token is not configured for use, generate a modified configuration by modifying the configuration of the proxy number token such that the configuration of the proxy number token is modified to allow use of the proxy number token for the second transaction type involving the second merchant; and

in response to receiving a request to use the proxy number token to complete a transaction of the second transaction type involving the second merchant, grant use of the proxy number token for the transaction of the second transaction type involving the second merchant based on (i) the modified configuration of the proxy number token and (ii) the transaction satisfying one or more parameters that are indicated by the modified configuration.

2 . A method comprising:

determining a proxy number token having a configuration comprising a first restriction to limit use of the proxy number token to a first action type involving a first entity;

determining, via a machine learning model, a previously-undetected association between (i) the first action type involving the first entity with which the proxy number token is configured for use and (ii) a second action type involving a second entity with which the proxy number token is not configured for use;

generating, based on the previously-undetected association, a modified configuration by modifying the configuration of the proxy number token such that the modified configuration of the proxy number token is modified to allow use of the proxy number token for the second action type involving the second entity;

receiving a request to use the proxy number token to complete an action of the second action type involving the second entity; and

granting, based on the request, use of the proxy number token for the action of the second action type involving the second entity based on (i) the modified configuration of the proxy number token and (ii) the action satisfying one or more parameters that are indicated by the modified configuration.

3 . The method of claim 2 , wherein the machine learning model is configured to:

determine, based on the previously-undetected association, an error pattern by correlating a number of errors detected between (i) the first action type involving the first entity with which the proxy number token is configured for use and (ii) the second action type involving the second entity with which the proxy number token is not configured for use, wherein the modified configuration is generated to reduce the number of errors.

4 . The method of claim 3 , wherein the modified configuration is generated based on a determination that the number of errors detected between (i) the first action type involving the first entity with which the proxy number token is configured for use and (ii) the second action type involving the second entity with which the proxy number token is not configured for use is greater than or equal to a threshold number of errors.

5 . The method of claim 2 , further comprising:

receiving, from a remote user device, a prior request of a user to complete a prior action of the first action type involving the first entity;

generating, based on the prior request, the proxy number token; and

transmitting the proxy number token to the remote user device.

6 . The method of claim 2 , wherein the configuration further comprises a relationship data binding comprising a mapping between the one or more parameters related to an earlier action of the first action type involving the first entity and a given action of the second action type involving the second entity.

7 . The method of claim 2 , further comprising:

configuring the proxy number token to be valid for authorization of an electronic transaction for only the first action type involving the first entity;

generating the proxy number token based on at least two of: a user identifier, an account identifier, a first entity identifier, a time, a session identifier, a first action type identifier, or a device identifier; and

generating the proxy number token according to a hashing algorithm.

8 . The method of claim 2 , further comprising:

receiving a prior request to use the proxy number token to complete a prior action of the first action type involving the first entity, wherein:

completing the prior action of the first action type involving the first entity comprises transmitting a first electronic signal to a first remote device; and

completing the action of the second action type involving the second entity comprises transmitting a second electronic signal to a second remote device.

9 . The method of claim 2 , wherein the machine learning model is configured to generate a cluster of previous actions associated with (i) the first action type and the second action type and (ii) initiated by a plurality of user devices, wherein the previously-undetected association between the first action type involving the first entity and the second action type involving the second entity is detected based on the cluster of previous actions.

10 . The method of claim 2 , wherein the first action type is associated with a first item, and the second action type is associated with a second item.

11 . The method of claim 10 , wherein the first item is different from the second item.

12 . The method of claim 2 , wherein the first action type is associated with a plurality of first items, and the second action type is associated with a plurality of second items different from the plurality of first items.

13 . One or more non-transitory computer-readable media storing computer program instructions that, when executed by one or more processors, effectuate operations comprising:

determining a proxy token having a configuration comprising a first restriction to limit use of the proxy token to a first action type;

in response to determining a previously-undetected association between (i) the first action type to which the proxy token is configured for use and (ii) a second action type to which the proxy token is not configured for use, determining a modified configuration by modifying the configuration of the proxy token such that the configuration of the proxy token is modified to allow use of the proxy token for the second action type; and

in response to receiving a request to use the proxy token to complete an action of the second action type, granting use of the proxy token for the action of the second action type based on (i) the modified configuration of the proxy token and (ii) the action satisfying one or more parameters that are indicated by the modified configuration.

14 . The non-transitory computer-readable media of claim 13 , wherein determining the previously-undetected association further comprises:

determining, via a machine learning model, the previously-undetected association between (i) the first action type to which the proxy token is configured for use and (ii) the second action type to which the proxy token is not configured for use.

15 . The non-transitory computer-readable media of claim 14 , wherein the machine learning model is configured to:

determine, based on the previously-undetected association, an error pattern by correlating a number of errors detected between (i) the first action type to which the proxy token is configured for use and (ii) the second action type to which the proxy token is not configured for use, wherein the modified configuration is determined to reduce the number of errors.

16 . The non-transitory computer-readable media of claim 15 , wherein the modified configuration is determined based on a determination that the number of errors detected between (i) the first action type to which the proxy token is configured for use and (ii) the second action type to which the proxy token is not configured for use is greater or equal to a threshold number of errors.

17 . The non-transitory computer-readable media of claim 13 , wherein the configuration further comprises a relationship data binding comprising a mapping between the one or more parameters related to an earlier action of the first action type and a given action of the second action type.

18 . The non-transitory computer-readable media of claim 13 , wherein the instructions, when executed by the one or more processors, effectuate operations further comprising:

configuring the proxy token to be valid for authorization of an electronic transaction for only the first action type;

generating the proxy token based on at least two of: a user identifier, an account identifier, an entity identifier, a time, a session identifier, a first action type identifier, or a device identifier; and

generating the proxy token according to a hashing algorithm.

19 . The non-transitory computer-readable media of claim 13 , wherein the first action type is associated with a first item, and the second action type is associated with a second item.

20 . The non-transitory computer-readable media of claim 13 , wherein the first action type involves a first entity and the second action type involves a second entity.