| CPC G06F 16/23 (2019.01) [G06F 3/0484 (2013.01); G06F 21/31 (2013.01)] | 20 Claims |

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1. An apparatus for updating a user data structure, the apparatus comprising:
at least a processor; and
a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to:
receive first user data associated with a plurality of first users;
identify a plurality of first user parameters from the first user data, wherein identifying the plurality of first user parameters comprises determining a temporal datum of the plurality of first user parameters as a function of a time gap between sequential time markers of time markers of the first user data;
receive second user data associated with at least a second user;
identify at least a second user parameter from the second user data, wherein identifying the at least a second user parameter comprises:
generating parameter training data, wherein the parameter training data comprises exemplary second user data correlated to exemplary second user parameters;
training a parameter machine-learning model using the parameter training data; and
determining the at least a second user parameter using the trained parameter machine-learning model;
determine a field datum associated with the plurality of first users as a function of the temporal datum of the plurality of first user parameters and the at least a second user parameter;
access a first user data structure, wherein the first user data structure comprises a plurality of data fields corresponds to a plurality of selected first users; and
update the first user data structure as a function of the field datum, wherein updating the first user data structure comprises:
updating the plurality of data fields to include the first user data associated with a first user of the plurality of first users related to the field datum; and
transmitting a notification as a function of the plurality of updated data fields.
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