UtilityKit provides lightweight microservices for transforming, cleaning, normalizing, validating, and mapping data through simple API endpoints.
Every integration project contains small data problems: invalid characters, different date formats, file name parsing, mapping external codes to internal values, or cleaning inconsistent text.
UtilityKit is designed to solve these repetitive tasks with reusable online utilities that can be called from applications, scripts, automation flows, and integration platforms.
A collection of practical microservices for everyday data transformation and integration needs.
Capitalize, split, reverse, truncate, quote, or format text values.
Remove extra spaces, accents, invalid characters, or unwanted symbols.
Parse file names, extract extensions, normalize names, and identify useful file metadata.
Convert epoch time, normalize date values, format numbers, and prepare values for other systems.
Mask sensitive strings and generate secure random passwords.
Create reusable lookup tables for mapping values between systems.
UtilityKit will allow users to create configurable mapping tables with custom columns and records.
Each mapping table can be called through an API endpoint, making it useful as a central mapping layer for integrations.
UtilityKit will provide ready-to-use functions for common data operations.
Clean, transform, or map data before saving it to Dataverse, SharePoint, Excel, or external systems.
Convert and align values between business systems.
Parse incoming file names, extract identifiers, and normalize file metadata.
Use UtilityKit APIs from scripts, Azure Functions, backend jobs, or custom applications.
Avoid rebuilding small utility functions for every project.
Move mapping and transformation logic outside individual integrations.
Use the same transformation logic across multiple systems.
Call services from any tool, platform, script, or application.
Use only what you need without deploying a full custom application.
Simple API utilities for data mapping, cleaning, normalization, and transformation.
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