A data structure is a document that describes in detail the format of the data being transferred to 

 editor is able to figure out which module returns or receives which kind of data. The data structure documents are most commonly used for serializing/parsing data formats such as JSON, XML, CSV and others.

Data structures don't always have to be created. You can make it easier by using a template from our built-in generator. By providing a data sample, the generator will automatically create a data structure based off of the data sample you entered. The created data structure can then be manually modified.

You can track where you are using a data structure in 

Define the format of the data so that Make can properly process it

Data stores

Data structures

A safety feature that saves unfinished scenario runs when errors occur, preventing data loss. Stored in the Incomplete Executions tab, you can retry automatically, resolve manually, or delete them. Disabled by default, enable it in Scenario settings.

Incomplete_executions

incomplete_executions

Error handlers act as a safety net that catches unexpected failures to prevent your scenarios from failing. They allow you to define exactly how the system should react, such as by retrying the task, ignoring the mistake, or rolling back changes.

error_handler

The Rollback error handler stops a scenario and reverts changes made by modules that support transactions to ensure data remains consistent when an error occurs.

Rollback

An automated workflow within the Make platform. You build it by connecting modules together, and it runs based on a trigger you set up.

scenario

a list or sequence of characters (like letters, numbers, and symbols) used to represent text in a computer programming.

string

An operation is a single module run to process data or check for new data. 

Operations

Credits (formerly operations) are the currency for running scenarios.

Credits

A route is a path that data can flow through in a scenario, visualized as the dotted lines between modules.

Route

scenario_plural_lowercase

scenario_singular_lowercase

Scenario_plural

Scenario_singular

product_name

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What is Make?

What's an API?

Learn the basics

Step 1. Plan your scenario

Step 2. Get your apps ready

Step 3. Add your first app

Step 4. Create a connection

Step 5. Set up the trigger

Step 6. Test the module

Step 7. Add another module

Step 8. Map data

Step 9. Test your scenario

Step 10. Schedule your scenario

Create your first scenario

Step 1. Get your app ready

Step 2. Add a router

Step 3. Set up another module

Step 4. Add a filter

Step 5. Test your scenario

Step 6. Add an aggregator

Step 7. Test the final scenario

Expand your scenario

Get started

Credits & operations

Connect an application

Schedule a scenario

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Introduction to Make apps

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Mapping

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Working with files

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Router

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Scenario settings

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Create and manage scenario templates

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Incomplete executions

Scenario execution, cycles, and phases

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Scenario run replay

Scenarios

Call Google APIs with OAuth 2.0 HTTP request

Connect to any web service using OAuth 2.0

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Replace connections across multiple modules

Credential requests

Dynamic connections

On-premise agent

Devices

Keys and certificates

Allow connections to and from Make IP addresses

Connections

If-else and Merge

Flow control

Converger

Text parser

Use functions

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Tokens for date/time parsing

Tokens for date/time formatting

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Functions

Methods of securing data

AES (Advanced Encryption Standard)

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Securing data with Make

Explore more

Introduction to Make AI Agents (New)

Create your first AI agent

Sales outreach AI agent use case

Slack-triggered AI agent

Telegram-triggered AI agent

Email-triggered AI agent

Form-triggered AI agent

Webhook-triggered AI agent

Mailhook-triggered AI agent

Create AI agents for different triggers

Knowledge

Make AI Agents (New) app

Make AI Agents (New) best practices

Make AI Agents (New)

Introduction to AI agents

Manage AI agents

Module tools for AI agents

Scenarios for AI agents

MCP tools for AI agents

Tools for AI agents

AI agent best practices

AI Agents configuration

Make AI Agents app

Step 1. Set up the AI agent

Step 2. Create the AI agent's tools

Step 3. Create a scenario to send tasks to the AI agent

AI agent use case

Make AI Agents

Introduction to MCP

Get started with Make MCP server

Make MCP server

Connect to Claude Desktop

Connect to ChatGPT

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Connect to OpenAI

Connect to OpenAI API

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Model Context Protocol

Introduction to Make Grid

Access Make Grid

Explore Make Grid GUI

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Tutorial: How to replace a dependency

Best practices to use Make Grid

Make Grid

Introduction to errors and warnings

Overview of error handling

Fix rate limit errors

Fix connection errors

Fix missing data errors

Fix general errors

How to handle errors

Quick error handling reference

Break error handler

Commit error handler

Ignore error handler

Resume error handler

Rollback error handler

Error handlers

Types of errors

Types of warnings

Exponential backoff

Throw

Error handling

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