Apparatus and method for data discrepancy identification

A method for data discrepancy identification, the method comprising:

• authenticating, using at least a processor, a provider using a provider identifier;
• receiving, using the at least a processor, at least a record, wherein the at least a record comprises a plurality of record elements;
• obtaining, using the at least a processor, at least a proof, wherein the at least a proof comprises a plurality of proof elements;
• analyzing, using the at least a processor, the at least a record to find a data discrepancy, wherein analyzing further comprises:
• finding the data discrepancy of the at least a record as a function of the at least a proof and the discrepancy template, wherein finding the data discrepancy further comprises:
• training, iteratively, using at least a processor, a discrepancy machine-learning model using training data, wherein discrepancy training data correlates a proof data set comprising evidence of information of the record from a record database with a discrepancy template data set comprising a predetermined record validation rule and stored in the record database;
• and
• generating, using the at least a processor and the trained machine-learning model, the data discrepancy wherein the at least a proof is provided to the trained machine-learning model as an input to output the data discrepancy;
• determining, using the at least a processor, a discrepancy process as a function of the data discrepancy;
• and
• updating, using the at least a processor, the at least a record as a function of the discrepancy process.