Integration
Connect BigML and Salesforce
When New project fires in BigML, your agent runs Create object record in Salesforce, or New object record in Salesforce to Get Resource Status 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 Salesforce 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 holds the projects, datasets and models your data team builds, while Salesforce holds the accounts, leads and cases your revenue team works. Joining them means a new BigML project can show up as a record in Salesforce, and a new or changed Salesforce record can pull model and resource details back from BigML without anyone copying ids by hand.
Example flows
What BigML and Salesforce can do together
From BigML to Salesforce
When New project in BigML
then Create object record in Salesforce
From Salesforce to 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 Salesforce
Triggers and actions 3 triggers · 13 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.
- New object record
Polling trigger: fires for each new record created in the specified SObject type. Polls SOQL ordered by CreatedDate descending.
- New or updated object record
Polling trigger: fires for each record created or modified in the specified SObject type. Polls SOQL ordered by SystemModstamp descending.
- Create object record
Creates a new record of the specified SObject type (standard or custom, e.g. Account, Contact, Lead, Opportunity, Case, or MyObject__c) with the supplied field values.
- Delete object record
Deletes an existing SObject record by object type and record ID.
- Describe object
Returns the full field and metadata description (describe) for an SObject type — useful for discovering available fields and their API names.
- Find most recent created or updated record
Returns the single most recently created or last-modified record for the specified SObject type (ordered by SystemModstamp DESC, LIMIT 1).
- Find object records
Finds matching records for an SObject type by a field/value equality match via SOQL. Returns Id and the requested fields for all matches.
- Get object record
Retrieves a single SObject record by object type and record ID. Optionally restrict returned fields with a comma-separated 'fields' list.
- List objects
Lists all available SObject types (standard and custom) on the org.
- SOQL query
Executes a SOQL query against the org and returns matching records. Example: SELECT Id, Name FROM Account WHERE CreatedDate = TODAY.
- Update object record
Updates an existing SObject record by object type and record ID with the supplied field values. Salesforce returns no body on success (HTTP 204).
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 Salesforce, answered
Can a new BigML project create its own record in Salesforce?
Yes. The New project trigger in BigML fires for each project, and Create object record in Salesforce writes it to whatever SObject type you name, standard or custom. You can first use Find object records so an existing record is updated instead of duplicated.
What happens when a Salesforce record changes after the connection is running?
The New or updated object record trigger fires for that record, and the agent can call BigML actions such as Get Resource Status or List Models using values on it. The agent tests every scenario before it goes live and keeps it running afterwards.
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 Salesforce when something happens in BigML?
Any of Salesforce's 9 actions, including Create object record, Find object records, Find most recent created or updated record and Update object record. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Salesforce to BigML?
Yes. When something happens in Salesforce, your agent can act in BigML too. This page covers both directions: Salesforce's triggers and BigML's actions are listed here as well.
Do I have to build a connector for BigML or Salesforce?
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 Salesforce 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.