Integrate Gretel AI with Bitbucket to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Delete project artifact in Gretelai when Pull Request Updated in Bitbucket
Query Models from Gretel AI when Pull Request Updated in Bitbucket
Query record handlers in Gretelai when Pull Request Updated in Bitbucket
Get record handler in Gretelai when Pull Request Updated in Bitbucket
Create Workflow Run in Gretelai when Pull Request Updated in Bitbucket
Start from a real workflow other teams are already running.
Gretel AI
When this happens...
Bitbucket
Automatically do this!
Create Deployment Environment
Create Pull Request
Add Comment to Pull Request
Merge Pull Request
Approve Pull Request
Decline Pull Request
Create Branch or Tag
Create Project in Workspace
Create a snippet comment
Create Repository
Update Pull Request
Merge Pull Request
Create Task on Pull Request
Create Build Status for Commit
Delete Branch or Tag
Create Branch Restriction Rule
Update Branch Restriction Rule
Delete Branch Restriction Rule
Delete Environment
Update Repository
Update Project Settings
Get Pull Request File Changes
Get Pull Request Diff And Diffstat
List Branches and Tags
List Workspace Projects and Check Pull Request Template
List Pull Requests
List Merged Pull Requests by Branch and Date Range
List Pull Requests
Delete project artifact in Gretelai when Pull Request Updated in Bitbucket
Use this flowQuery Models from Gretel AI when Pull Request Updated in Bitbucket
Use this flowQuery record handlers in Gretelai when Pull Request Updated in Bitbucket
Use this flowGet record handler in Gretelai when Pull Request Updated in Bitbucket
Use this flowCreate Workflow Run in Gretelai when Pull Request Updated in Bitbucket
Use this flowGet Your Billing Data in Gretelai when Pull Request Updated in Bitbucket
Use this flowGet a specific Project from Gretel AI when Pull Request Merges in Bitbucket
Use this flowList Project in Gretelai when Pull Request Merges in Bitbucket
Use this flowList Project Members in Gretelai when Pull Request Merges in Bitbucket
Use this flowCreate or Update Invite / Membership in Gretelai when Pull Request Merges in Bitbucket
Use this flowEverything you can automate between Gretel AI and Bitbucket.
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when pull request opens
Runs when pull request updated
Runs when pull request merges
Runs when PR approval changes
Runs when repository created
Runs when Code Is Pushed
Action is the task that follows automatically within your Gretel AI integrations.
Fetch a single project owned or belonged to by the current user by the project ID or project name.
Create a project. Project names must be globally unique and DNS name compliant.
List all projects the current user owns.
Update information about a project.
Delete a project.
List all current/active members of a project.

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
Recognized by leading review platforms and trusted by 10,000+ businesses worldwide.
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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Gretel AI provides tools and APIs to generate synthetic data, ensuring privacy and security while enabling data sharing and collaboration. It is designed to help developers and data scientists create high-quality, privacy-preserving synthetic data for machine learning and analytics.
Learn moreBitbucket is a web-based version control repository hosting service, primarily for source code and development projects. It offers both commercial plans and free accounts, providing a platform for developers to manage their code, collaborate on projects, and track changes.
Learn moreSign up for a free viaSocket account, then authorize both your Gretel AI and Bitbucket 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.
Yes. viaSocket uses instant triggers where available, so data moves between Gretel AI and Bitbucket as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Bitbucket. No coding required.
Yes. You can set up a workflow where Gretel AI triggers actions in Bitbucket, and a separate workflow where Bitbucket triggers actions in Gretel AI. Both run independently and in real time.
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.
Yes, there is a free plan that covers basic workflows between Gretel AI and Bitbucket. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Gretel AI and Bitbucket integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.