Abstract: In an aspect an apparatus for performance matching is presented. An apparatus includes at least a processor and a memory communicatively connected to the processor. A memory contains instructions configuring at least a processor to receive performance data of a user performing a skill evaluation. At least a processor is configured to determine a measured performance of a user as a function of performance data. At least a processor is configured to compare the measured performance to a performance parameter. At least a processor is configured to generate a search query as a function of a comparison. At least a processor is configured to provide a user with at least a posting as a function of a search query.

Abstract: Aspects relate to apparatuses and methods for integrated application tracking. An exemplary apparatus includes a cloud platform, a processor, and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive a plurality of user data related to a user, parse the plurality of user data into a key work record, generate a user metric, as a function of the key work record, based on a plurality of weighted values reflecting desirability, wherein generating the user metric includes identifying at least a negative factor in the key work record, and adjusting the plurality of weighted values as a function of the at least a negative factor and a temporal displacement of the at least a negative factor.

Abstract: An apparatus for predictive scoring, the apparatus comprising a processor and a display device. The processor is configured to receive a posting query, generate a past posting datum, determine predictive metrics as a function of the posting query, and provide a score related to an expected value of a posting. The display device is configured to display a predictive score to the originator.

Abstract: An apparatus for generating a user's video avatar, wherein the apparatus comprises a processor communicatively connected to a memory, wherein the memory instructs the processor to receive, from a user application and a user input device, user data, validate a user's identity as a function of the user data, and generate a video avatar as a function of the identity validation and user data.

Abstract: An apparatus is configured to identify a plurality of temporal ranges, associated with a plurality of first identifiers and a plurality of sets of descriptive data, generate a plurality of temporal sections, wherein generating further includes dividing each temporal range into at least a temporal section of the plurality of temporal sections, receive at least a second identifier, wherein the at least a second identifier is associated with at least a temporal constraint and a set of second identifier data, classify, as a function of the inputs, the at least a first identifier to a particular temporal section of the plurality of temporal sections as a function of the plurality of sets of descriptive data and the at least a set of second identifier data and output the particular temporal section.

Abstract: An apparatus and method for selectively revealing user data. User data may be stored on an immutable sequential listing and accessed through the immutable sequential listing. Processor of apparatus is configured to receive user-associated data to be stored in a resource data storage system. Processor is configured to sort the user-associated data into data sets and assigned an identifier to each data set. Identifier may be related to job history, education history, volunteer history, or the like. Processor is configured to receive a request to reveal data from a third-party and transmit data set to the requestor. Third party and data in data sets may be verified and validated.

Abstract: An apparatus for selection based on a probabilistic quantitative field, the apparatus comprising at least a processor and a memory communicatively connected to the processor. The memory contains instructions configuring the at least a processor to generate a time series model configured to generate a probabilistic quantitative field of a posting, wherein the generation includes receive a generation request from a user and generate the probabilistic quantitative field of the posting as a function of the generation request and a machine-learning model, determine if a hosting aggregator will host a posting or not as a function of the probabilistic quantitative field and a preconfigured threshold value, and create a prioritization list for a user as a function of the determination if a hosting aggregator will host a posting or not and the probabilistic quantitative field.

Abstract: Aspects relate to apparatuses and methods for rating the quality of a posting. An exemplary apparatus includes at least a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to acquire a plurality of inputs from at least a posting, classify the posting to a posting category as a function of the plurality of inputs, calculate a quality metric as a function of the posting category and the plurality of inputs, wherein the quality metric reflects a level of completeness regarding the arrangement of inputs in a posting, and generate, as a function of the quality metric, a ordering of the posting, wherein the order relates to a probable level of focus a user may use to fill the posting.

Abstract: An apparatus for updating a user profile based on a user file is included. Apparatus may include a processor and a memory communicatively connected to processor. Memory may contain instructions configuring processor to identify a plurality of profile sections in a user profile comprising a profile content; receive a user file; parse document content in user file by identifying a plurality of document sections in user file, categorizing a first document section of plurality of document sections of user file, identifying at least a document subsection of first document section, and categorizing document content in a first document subsection of at least a document subsection; and insert document content in at least one of the plurality of profile sections based on categorization of first document section and categorization of first document subsection.

Abstract: In an aspect an apparatus for classifying job candidates for a particular job posting is disclosed. The apparatus is comprised of at least a processor and a memory communicatively connected to the processor. The processor may be configured to receive job candidate datum wherein the job candidate data includes at least a video record. Additionally, the processor may be configured to extract record datum from the at least a video record. The processor may be further configured to classify the record datum to a candidate classification datum, Classifying may include training a candidate classifier using interview training data correlating interview data elements to candidate classification data elements and classifying the record datum to the candidate classification datum using the candidate classifier. The processor may also generate candidate match datum using a job posting machine learning model.

Abstract: An apparatus and method for candidate tracking. The apparatus includes a processor that is configured to track a candidate through the recruiting process such that a recruiter may be compensated for their recruiting efforts. The apparatus includes receiving data sets from the recruiter and the employer, receiving a transfer request from either user, authenticating the users, determining if the data sets are the same, and processing the transfer request.

Abstract: An exemplary apparatus includes a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to store, using a computing device, on an immutable sequential listing, a plurality of user identifiers, wherein each user identifier of the plurality of user identifiers is associated with the same user, each user identifier of the plurality of user identifiers is associated with a plurality of action data, and each of the plurality of user identifiers is associated with a user role of the user, receive, using a computing device, information relating to an element of posting data associated with a posting generator, classify, as a function of the received information, the information to a user identifier of the plurality of user identifiers as a function of the plurality of action data associated with the user identifier and reveal the user identifier to the posting generator.

Abstract: An apparatus for predictive scoring, the apparatus comprising a processor and a display device. The processor is configured to receive a posting query, generate a past posting datum, determine predictive metrics as a function of the posting query, and provide a score related to an expected value of a posting. The display device is configured to display a predictive score to the originator.

Abstract: Aspects relate to apparatuses and methods for linking action data to an immutable sequential listing identifier of a user. An exemplary apparatus includes a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to store, on an immutable sequential listing, a plurality of user identifiers, wherein each user identifier of the plurality of user identifiers is associated with the same user and each of the plurality of user identifiers is associated with a user role of the user, receive information relating to an element of action data associated with the user, match, as a function of the received information, the action data to a particular user identifier of the plurality of user identifiers, and update, as a function of the matching, the user identifier stored on the immutable sequential listing.

Abstract: An apparatus for validating user data includes a resource data storage system that stores data identifiers, data entries, and authorization sets. Resource data storage system may use an immutable sequential listing to store data. Resource data system may be used to evaluate and fulfill an authorization transfer request, in which, a user may request to transfer an authorization set with a lost identifier to a known identifier. User may be requested to commit to a user secret to validate user identity.

Abstract: A method for automatic video record generation is provided. method may include a plurality of sensors configured to detect at least audiovisual data. Method may include a processor that may be configured to generated prompts for a user to respond to. User responses may be collected and formed into a video record. Method may use machine learning to automatically generate video records by assembling a plurality of temporal sections gathered from audiovisual data from a user.

Abstract: A apparatus for credentialing users across multiple devices. The apparatus includes a processor connected to a network and at least a user device. Processor is configured to receive a credential data structure, verify the credential data structure, generate a credential block, and store the credential block in a data storage system. A plurality of user devices may access the network and the data storage system to view the verified credentials.

Abstract: Aspects relate to apparatuses and methods for using machine learning to classify a user to a posting. An exemplary apparatus includes at least a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to acquire a plurality of user inputs from a user, acquire a plurality of posting inputs from postings, associate each posting input of the plurality of posting inputs to a posting category, compare the plurality of user inputs to the plurality of posting inputs, and classify the user to a posting category as a function of the comparison.

Abstract: An apparatus for expanding contacts for a social networking platform includes at least a processor communicatively connected to a user device and a memory communicatively connected to the processor. The memory contains instructions configuring the at least a processor to determine potential contacts for a user with an automated process including identifying a user identification on an immutable sequential listing, retrieving activity data linked to the user identification, retrieving a body of sets of user activity data as a function of the activity data, and identifying potential contacts by generating a match function between the user and each set of the sets of the user activity data. Processor further receives a selection input from the user device selecting a contact of the potential contacts, delivers an information request about the user to a selected contact device, and receives an information response from the selected contact device.

Abstract: An apparatus and method for mapping user-associated data to an identifier. The apparatus includes a processor configured to store a plurality of user identifiers. User identifiers may be determined by way of user or by machine-learning modules or the like. Apparatus receives user-associated data from a user to be stored in a resource data storage system. User-associated data may include a plurality of data sets to be mapped to an identifier. Mapping a data set to an identifier may be user determined or use a machine-learning module. Apparatus is configured to update the immutable sequential listing associated with the data set with the mapped identifier.