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Connect CLAID.AI and Greenhouse

Integrate CLAID.AI with Greenhouse to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.

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Popular CLAID.AI + Greenhouse flows

Start from a real workflow other teams are already running.

Choose a trigger

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CLAID.AI

When this happens...

Choose an action

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Greenhouse

Automatically do this!

Full list

Supported Triggers & Actions

Everything you can automate between CLAID.AI and Greenhouse.

When this happensTriggers

A trigger is an event that starts a workflow.

New Application

New Application

Runs when a candidate applies or is added to a job, optionally for chosen jobs.

Updated Application

Updated Application

Runs when an application is updated, including stage changes, optionally for chosen jobs.

Updated Candidate

Updated Candidate

Runs when a candidate profile is updated in Greenhouse.

Updated Job

Updated Job

Runs when a job is updated in Greenhouse.

New Candidate

New Candidate

Runs when a new candidate is added in Greenhouse.

Candidate Hired

Candidate Hired

Runs when an application is marked as hired, optionally for chosen jobs.

Do thisActions

Action is the task that follows automatically within your CLAID.AI integrations.

List Storage Types

List Storage Types

Retrieves a list of storage types supported by Claid.

List Storages

List Storages

Retrieves a list of storages connected to your Claid account.

Create Storage

Create Storage

Create a new Claid Storage

Get storage by ID

Get storage by ID

Retrieves information about particular storage.

Delete Storage

Delete Storage

Disconnects storage from Claid. Note: It doesn't delete your bucket on your cloud platform.

Update Storage

Update Storage

Changes storage name, type, and/or parameters.

How to build your first workflow with viaSocket
2-Minute Guide

Learn how to build your first workflow

Follow a simple walkthrough to create, test, and launch your first automation.

  1. 1

    Connect your apps

    Link the apps you want to automate.

  2. 2

    Configure your workflow

    Set up triggers, actions, and map your data.

  3. 3

    Test & publish

    Test your workflow and publish it.

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Integrations CLAID.AI
CLAID.AI + Greenhouse
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About CLAID.AI

CLAID.AI is a cutting-edge platform that leverages artificial intelligence to enhance and optimize image processing and editing. It offers advanced tools for image enhancement, background removal, and other photo editing tasks, making it an essential tool for photographers, designers, and content creators.

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Frequently Asked Questions

How do I connect CLAID.AI and Greenhouse?

Sign up for a free viaSocket account, then authorize both your CLAID.AI and Greenhouse accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.

Does this integration work in real time?

Yes. viaSocket uses instant triggers where available, so data moves between CLAID.AI and Greenhouse as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.

Can I control which data gets sent from CLAID.AI to Greenhouse?

Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Greenhouse. No coding required.

Can the integration run in both directions?

Yes. You can set up a workflow where CLAID.AI triggers actions in Greenhouse, and a separate workflow where Greenhouse triggers actions in CLAID.AI. Both run independently and in real time.

What happens if a step in the workflow fails?

viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.

Is viaSocket free to use?

Yes, there is a free plan that covers basic workflows between CLAID.AI and Greenhouse. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.

Do I need to know how to code to set this up?

No. The entire CLAID.AI and Greenhouse integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.