DataRobot Make integrationAutomate DataRobot with Make.
Can Make drive your DataRobot generative AI workspace for you? The DataRobot Make integration gives you 10 modules: 6 actions and 4 searches around chats, playgrounds and LLM blueprints. This page shows how to link your account and build a first working scenario.
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What does the DataRobot Make integration do?
The DataRobot Make integration lets a Make scenario (the automation you build, a chain of steps) create, read and tidy the pieces of your DataRobot generative AI work: playgrounds, LLM blueprints, chats and use cases. You link your DataRobot account once with an API key, then each module (one brick of the scenario) does one job.
Spin up a workspace from a request. When a project request lands in another app, Create a Playground opens a fresh playground and Create a LLM Blueprint adds a blueprint to it, so the data team starts from a ready space instead of a blank screen.
Keep an inventory in a spreadsheet. List Use Cases and List Playgrounds return what exists in your account, one bundle (one item passed to the next module) per result, which you can push to a sheet or a report that everyone reads.
Tidy old conversations. List Chats finds chats, Update a Chat renames them to match your naming rules, and Delete a Chat removes the ones nobody needs.
DataRobot has no trigger in Make: nothing starts on its own from DataRobot, so a scenario begins with another app or with a schedule. When a listed module does not cover your case, Make an API Call reaches the rest of the API. The same app often exists in n8n too; the n8n vs Make comparison lays out the differences between the two tools, and the Make review helps if you are still choosing a platform.
How do you connect DataRobot to Make?
- 01
Copy your API key in DataRobot
In DataRobot, click your user icon at the top right, open API keys and tools, then the Personal API keys tab. Copy the key shown in the Value column, or create a new key first if the list is empty.
- 02
Add a DataRobot module in Make
In your Make scenario, add any DataRobot module and click Create a connection. A connection is your DataRobot account linked to Make once, then reused by every DataRobot module you add later.
- 03
Name and save the connection
Give it a label in Connection name if you want (this field is optional), paste the credentials copied from DataRobot, or follow the instructions on screen, and save. The module can now read your account.
Your first DataRobot scenario in Make
GoalWhen a new project request arrives in another app, Make creates a DataRobot playground and adds an LLM blueprint to it.
- 01
Create the scenario
From the Scenarios page, create a new scenario and click the +. Pick the app where project requests arrive, such as a form tool, and its module that starts the flow.
- 02
Add Create a Playground
Click the + to the right of that first module, search DataRobot and choose Create a Playground. Pick your connection, then map the request details from the previous module into the fields Make shows.
- 03
Chain Create a LLM Blueprint
Add one more module: Create a LLM Blueprint. Map the playground returned by the step before, so the blueprint lands in the space the scenario just built.
- 04
Test with Run once
Click Run once and send a test request. Open the bubble above each module to read the bundles it received and check that the playground and blueprint appear in DataRobot.
- 05
Schedule and switch it on
Set the schedule on the first module (a new scenario checks every 15 minutes by default) and switch the scenario on. Each module run on one bundle counts as one operation on your plan.
What the DataRobot modules do
DataRobot gives you 10 modules. For each one: what it does for you, when to reach for it, and what to watch out for.
Create a Chat
ActionIn Make“Creates a chat.”
Opens a new chat in DataRobot from your scenario, so a conversation exists before anyone types a word. That saves your team the manual setup each time a new topic comes in.
Create a LLM Blueprint
ActionIn Make“Creates LLM Blueprint.”
Gives you a new LLM blueprint in DataRobot without clicking through the interface, straight from the data your scenario already carries. Useful when several teams need the same starting setup.
Create a Playground
ActionIn Make“Creates a playground.”
Hands you a fresh DataRobot playground the moment a request calls for one, so a new project never starts on an empty screen. It is the natural first DataRobot step of a setup scenario.
Delete a Chat
ActionIn Make“Deletes a chat.”
Removes a chat from DataRobot for you, which keeps the list of conversations short and readable once a topic is closed. Pair it with a search so the scenario knows which chat to target.
Make an API Call
ActionIn Make“Performs an arbitrary authorized API call.”
Lets you reach any endpoint of the DataRobot API from the scenario, reusing the same connection, so you are not stuck when the ready-made modules stop short. It is the escape hatch of this app.
Update a Chat
ActionIn Make“Updates a chat.”
Changes an existing DataRobot chat, which is handy for renaming it so your team finds it later by client or project name. Your team then finds it by name instead of scrolling.
List Chats
SearchIn Make“List Chats.”
Returns the chats in your DataRobot account, one bundle per chat, so the next modules can act on each of them. Think of it as the starting point of any cleanup or audit.
List LLM Blueprints
SearchIn Make“List LLM Blueprints.”
Gives you the LLM blueprints already present in DataRobot, each as a separate bundle you can send to a sheet, a message or a filter. It answers the question of what has been built so far.
List Playgrounds
SearchIn Make“List Playgrounds.”
Brings back your DataRobot playgrounds as bundles, which lets a scenario check what exists before it creates anything new. That single check prevents most duplicates.
List Use Cases
SearchIn Make“List Usecases.”
Lists the use cases stored in DataRobot so you can see, outside the tool, which business problems are already being worked on. Each use case arrives as its own bundle.
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