Build native integrations through our scalable Unified APIs so you can focus on building your product. Available as REST API.
Visit the documentation and API reference to get a complete overview of the endpoints and APIs we offer.
Easy to integrate within your current codebase. Apideck offers native SDKs in several popular programming languages and frameworks.
The API Explorer is an interactive interface you can use to build, view, and send HTTP requests that call Apideck APIs without leaving the browser.
Pre-made building blocks to get started with Apideck.
Open-source software is part of our core. Check out the OSS libraries we're working on and supporting.
Seamlessly integrate custom fields and unique mappings with our advanced mapping tools.
date_of_birth
birthdate
shortBirthDate
date_of_birth|
dateOfBirth
API integrations present data in diverse formats with different field names, structures, and data types. Field mapping standardizes this chaos into a unified format.
Common fields available across all integrations
id
first_name
last_name
email
created_at
Platform-specific fields unique to each service
hs_analytics_timestamp
LastReferencedDate
won_deals_count
User-defined fields created within the platform
T_shirt_Size__c
t_shirt_size
custom_priority_level
Every platform stores the same data differently. We handle the chaos so you can focus on building features
Custom fields end with __c and are part of the root object
{
"Id": "123",
"FirstName": "Jane",
"LastName": "Doe",
"T_shirt_Size__c": "Medium",
"Assigned_CSM__c": "Tom S.",
"CreatedDate": "2019-07-09T19:35:03.000Z"
}
All fields including custom ones are nested in properties object
{
"id": "123",
"properties": {
"firstname": "Jane",
"lastname": "Doe",
"t_shirt_size": "Medium",
"assigned_csm": "Tom S.",
"lifecyclestage": "lead"
},
"createdAt": "2019-07-09T19:35:03.000Z"
}
Custom fields have unique keys and are nested in the data object
{
"data": {
"id": "d2b4f0b0-6219-11eb-84bd-4b223d902a50",
"first_name": "Jane",
"last_name": "Doe",
"c692e0f58789dfebb3adba15721": "Medium",
"e24805787eef64b08aafb6fa3d8": "Tom S."
}
}
Map platform-specific fields and custom user data with precision and flexibility
Maps fields directly from the raw integration response to your unified schema. Perfect for platform-specific fields that aren't part of the standard unified model.
properties.lifecyclestage
custom.lifecycle_stage
Maps user-created custom fields from the custom_fields array in the response. Ideal for customer-specific fields that vary between different user accounts.
custom_fields.t_shirt_size
custom_mappings.tshirt_size
Every integration works differently. Our field mapping ensures your customers' data flows perfectly, no matter the source
Transform diverse API responses into a consistent format, regardless of the underlying platform structure.
Map platform-specific custom fields to your unified schema, ensuring no customer data is lost.
Field mappings are applied instantly during API calls with zero latency or data storage.
Built-in validation ensures data integrity and prevents errors during field transformation.
Configure mappings through intuitive UI or programmatically via APIs with comprehensive SDKs.
Support for complex nested objects, arrays, and flexible mapping rules across all data types.
We normalize messy, inconsistent APIs into a single structure, while still exposing the raw downstream information for maximum convenience.
24 integrations
21 integrations
15 integrations
10 integrations
18 integrations
5 integrations
54 integrations
24 integrations
21 integrations
54 integrations
15 integrations
5 integrations
18 integrations