
Dynamic Data Validation and Notification Automation

Context:
The flow is used for automating data validation processes in response to incoming HTTP requests, ensuring data integrity before triggering notifications or further system updates.
Solution:
Data Validation: Extracts and validates incoming data based on predefined criteria.
Conditional Logic: Sends notifications or updates external systems based on validation results.
Error Handling: Notifies or logs errors for invalid data.
Feedback Loop: Provides a status response (success or failure) to the requester.
Impact:
Efficiency: Automates data validation and follow-up actions, reducing manual effort.
Accuracy: Ensures only valid data triggers further processes, improving system integrity.
Scalability: The flow is adaptable for different validation rules and use cases, enhancing flexibility.