Integration
Connect Condens and Databox
When Participant Created fires in Condens, your agent runs Create Dataset in Databox, or New Dataset in Databox to Add project in Condens. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Condens and Databox to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Condens and Databox can do together
From Condens to Databox
When Participant Created in Condens
then Create Dataset in Databox
From Databox to Condens
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Condens and Databox
Triggers and actions 3 triggers · 35 actions
- Artifact Published
Fires once for each published artifact in the chosen Condens project.
- Participant Created
Triggers when a new Participant was created.
- Add project
Create a project.
- Add project folder
Create a project folder.
- Create or Update Participant
Creates or Updates a Participant
- Create or Update Session
Creates or Updates a Session
- Delete participant
Delete a participant.
- Delete project
Delete a project.
- Delete project folder
Delete a project folder.
- Delete session
Delete a session.
- Find a Participant
Search for a Participant by name or fields attached to it
- Find a Session
Search for a Session by title or fields attached to it
- Get participant
Get a participant by id.
- Get project
Get a project by id.
- Get session
Get a session by id.
- List artifacts
List artifacts.
- List participants
List participants, paginated with filter/sort.
- List project folders
List project folders.
- List projects
List projects, paginated with filter/sort.
- List sessions
List sessions, paginated with filter/sort.
- List users
List users.
- List workspaces
List workspaces.
- Update artifact
Update an artifact.
- Update project
Update a project.
- Update project folder
Update a project folder.
- New Dataset
Triggers when a new dataset is created in your Databox organization.
- Create Dataset
Creates a dataset with the given columns inside a Databox data source.
- Delete Dataset
Permanently deletes a Databox dataset and all its data.
- Delete Data Source
Permanently deletes a Databox data source and every dataset in it.
- Get Dataset
Returns the details of one Databox dataset.
- Get Dataset Ingestion
Returns the details of one data ingestion into a Databox dataset, including its status, duration, record counts and any errors.
- Get Metric Data
Returns a Databox metric's values for a date range at the chosen granularity.
- Ingest Data into Dataset
Adds a batch of up to 100 records to a Databox dataset.
- List Dashboards
Lists the dashboards in your Databox organization.
- List Datasets
Lists Databox datasets, optionally filtered by data source or name.
- List Data Sources
Lists the data sources in your Databox organization.
- List Metrics
Lists the metrics in your Databox organization.
- Purge Dataset
Removes all rows from a Databox dataset while keeping the dataset itself.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Condens and Databox, answered
What can start an automation from Condens?
Any of Condens's 2 triggers in the catalog, including Participant Created and Artifact Published. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Databox when something happens in Condens?
Any of Databox's 12 actions, including Create Dataset, Get Dataset, Get Dataset Ingestion and Get Metric Data. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Databox to Condens?
Yes. When something happens in Databox, your agent can act in Condens too. This page covers both directions: Databox's triggers and Condens's actions are listed here as well.
Do I have to build a connector for Condens or Databox?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Condens and Databox without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.