Integration
Connect BigML to Steady
When New project fires in BigML, your agent runs Get current user in Steady. 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 BigML and Steady 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)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)BigML tells you when a new project is created, and Steady can tell you which account the connection is signed in as. Joined together, every new BigML project can be logged with the sources, datasets or models already sitting in the account plus the name and email of the Steady user behind the work, so nobody has to look any of it up by hand.
Example flows
What BigML can start in Steady
When New project in BigML
then Get current user in Steady
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 Steady
Triggers and actions 1 trigger · 5 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.
- Get current user
Returns the basic profile (name, email, avatar) of the Steady user the connection is signed in as.
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 Steady, answered
Can Steady start one of these runs?
No. Steady has no triggers here, so the work always begins with the New project trigger in BigML; Steady comes in through its Get current user action. If you need a Steady event as the starting point, this pair is not the right fit.
What can be read out of BigML after a project is created?
You can list sources, datasets and models, and you can retrieve a single resource by id with Get Resource Status to read its state and results. Those calls can run in any order after the New project trigger, and the agent tests every scenario before it goes live.
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 Steady when something happens in BigML?
Any of Steady's 1 action, including Get current user. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Steady to BigML?
Steady has no triggers in the catalog today, so automations start in BigML. If you need the other direction, ask: your agent reads Steady's API documentation and adds it.
Do I have to build a connector for BigML or Steady?
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 BigML and Steady 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.