Integration
Connect BigML and Wufoo
When New project fires in BigML, your agent runs Count Form Comments in Wufoo, or New Form in Wufoo to List Datasets in BigML. 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 Wufoo 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)Wufoo collects the entries your team submits through forms, and BigML holds the sources, datasets and models built from that information. Joining them lets a form submission in Wufoo trigger a look at the matching BigML resources, and a new BigML project write an entry back into a Wufoo form so both sides stay readable for the people who run them.
Example flows
What BigML and Wufoo can do together
From BigML to Wufoo
When New project in BigML
then Count Form Comments in Wufoo
When New project in BigML
then Count Form Entries in Wufoo
From Wufoo to BigML
When New Form in Wufoo
then List Datasets in BigML
When New Form Entry in Wufoo
then List Sources in BigML
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 Wufoo
Triggers and actions 3 triggers ยท 16 actions
Trigger
New projectTriggered when a new project is created in BigML. Polls the BigML projects list endpoint and emits each project, deduplicated by its resource id.
Action
Get Resource StatusRetrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results.
Action
List DatasetsList BigML datasets, optionally filtered/paginated.
Action
List ModelsList BigML models, optionally filtered/paginated.
Action
List SourcesList BigML sources, optionally filtered/paginated.
Trigger
New FormPolling trigger: fires when a new form is created on the account.
Trigger
New Form EntryPolling trigger: fires when a new entry is submitted to the specified form.
Action
Count Form CommentsReturn the number of comments on a form's entries.
Action
Count Form EntriesReturn the number of entries submitted to a form.
Action
Get FormReturn a single form by its hash identifier.
Action
Get Form FieldsReturn the field definitions for a form.
Action
Get ReportReturn a single report by its hash identifier.
Action
Get Report WidgetsReturn the widgets (charts/graphs) of a report.
Action
List Form EntriesReturn entries submitted to a form.
Action
List FormsReturn all forms on the Wufoo account.
Action
List Report EntriesReturn entries included in a report.
Action
List ReportsReturn all reports on the Wufoo account.
Action
List UsersReturn the users on the Wufoo account.
Action
Submit Form EntrySubmit a new entry to a form. Field values are passed as a map keyed by field id (e.g. Field1).
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 Wufoo, answered
Can a Wufoo entry create a dataset or model in BigML?
No. The BigML actions here read your account: list sources, datasets and models, and get the status of a resource by id. A Wufoo entry can trigger those lookups, but the training itself stays in BigML.
How does the agent know which Wufoo form to write back to?
You name the form and the agent uses Submit Form Entry with values keyed by field id, which it reads first through Get Form Fields. It then tests every scenario against that form before the setup is left running.
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 Wufoo when something happens in BigML?
Any of Wufoo's 12 actions, including Count Form Entries, Get Form Fields, Submit Form Entry and Count Form Comments. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Wufoo to BigML?
Yes. When something happens in Wufoo, your agent can act in BigML too. This page covers both directions: Wufoo's triggers and BigML's actions are listed here as well.
Do I have to build a connector for BigML or Wufoo?
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 Wufoo 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.