Build solutions, not workarounds.
What do you want BigML and Dreamdata to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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)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 BigML can start in Dreamdata
When New project in BigML
then Group User in Dreamdata
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 BigML and Dreamdata
Triggers and actions 1 trigger · 9 actions
- New project
Triggered when a new project is created in BigML. Polls the BigML projects list endpoint and emits each project, deduplicated by its resource id.
- Get Resource Status
Retrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results.
- List Datasets
List BigML datasets, optionally filtered/paginated.
- List Models
List BigML models, optionally filtered/paginated.
- List Sources
List BigML sources, optionally filtered/paginated.
- Group User
Associates a user with different properties, such as company name and size.
- Identify User
Identifies user by traits.
- Track and Identify
Tracks an event and identifies the user.
- Track Event
Tracks a custom event.
- Track Page View
Sends a "page" message to Dreamdata's batch ingestion endpoint to record a page view. Fields: userId or anonymousId (required, one of), category (optional), name (optional), properties (optional dict — url, title, referrer, etc.), context, timestamp. Distinct from the existing Track Event op — "page" is its own message type alongside identify/track/group/alias per Dreamdata's tracking API spec.
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
BigML and Dreamdata, answered
What can start an automation from BigML?
Any of BigML's 1 trigger in the catalog, including New project. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Dreamdata when something happens in BigML?
Any of Dreamdata's 5 actions, including Group User, Identify User, Track and Identify and Track Event. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Dreamdata to BigML?
Dreamdata has no triggers in the catalog today, so automations start in BigML. If you need the other direction, ask: your agent reads Dreamdata's API documentation and adds it.
Do I have to build a connector for BigML or Dreamdata?
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.
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.