Connectors / AI · HTTP Connector

Automate BigML with Tray.ai

Create a source, create a dataset and create a model in BigML, and start a workflow when BigML sends “Resource creation finished”.

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What can you do with BigML on Tray.ai?

BigML is a machine learning platform for turning data into predictive models, from datasets and clusters to anomaly detection, forecasts and batch predictions. Tray.ai connects to BigML through the HTTP Connector, so your workflows can call the BigML API alongside the rest of your stack.

  • When BigML sends “Resource creation failed”, alert the data team in your team chat.
  • Once BigML sends “Resource creation finished”, log the new model in your data catalog so analysts know it is ready.
  • Create a prediction for each new deal and write the score back to your CRM.
Connects through
HTTP Connector
Authentication
An API key in the query string

Set it up

Connect BigML to Tray.ai

Each step uses BigML's own API details, from its documentation.

Step 1

Save BigML's API key

Save the key as a Tray.ai authentication and add it to the query string from $.auth, so it never sits in the workflow itself.

Step 2

Import a request from BigML's docs

Add an HTTP Client step and paste a cURL example from BigML's API docs. Tray.ai fills in the method, URL, headers, and query.

Step 3

Start with “List sources”

It's one of 19 documented actions, under Sources. The response comes back as data the next step can map into your other apps.

Step 4

Start workflows from BigML events

Give BigML the URL of a Tray.ai webhook trigger. “Resource creation finished” can then start a workflow, and so can 1 other event.

How the HTTP Connector works

Give your AI agents BigML tools

Build an MCP server on BigML in Agent Gateway and choose which actions your agents can call. Every call runs with access control and an audit trail. How Agent Gateway works

  • Create a source
  • Create a dataset
  • Create a model
  • Create a prediction
  • Create a project
  • List sources
  • Update a source
  • Delete a source

What the BigML API covers

5 resources and 19 documented actions, each one a call the HTTP Connector can make from a Tray.ai workflow. Connecting it takes a few clicks: here's how.

Sources

  • Create a source
  • List sources
  • Update a source
  • Delete a source

Datasets

  • Create a dataset
  • List datasets
  • Retrieve a dataset
  • Delete a dataset

Models

  • Create a model
  • List models
  • Retrieve a model
  • Delete a model

Predictions

  • Create a prediction
  • Create a batch prediction
  • List predictions

Projects

  • Create a project
  • List projects
  • Update a project
  • Delete a project

Events BigML can send to a Tray.ai webhook trigger

  • Resource creation finished
  • Resource creation failed

Checked against BigML's own documentation on 2026-10-22

bigml.com/api

How Tray.ai makes this work

BigML plugs into the whole Tray.ai platform

Intelligent Integration

Integrate and automate across 10,100+ apps, databases, APIs, and services with visual workflows, error handling, and observability.

Learn more →

Agent Builder

Build AI agents that read, write, and take action in BigML — with guardrails, audit, and human-in-the-loop.

Learn more →

Agent Gateway for MCP

Expose BigML actions as governed MCP tools — observable, rate-limited, authenticated.

Learn more →

Tray Helix

Build apps on BigML data with your AI assistant, then deploy, run, and govern them on Tray.ai.

Learn more →

More ai apps on Tray.ai

Dedicated connectors and other apps Tray.ai reaches in the same category. See every ai connector →

Frequently asked questions

What can a Tray.ai workflow do in BigML?

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The BigML API documents 19 actions across 5 resources (Sources, Datasets, Models, Predictions, Projects). For example: Create a source; Create a dataset; Create a model. A workflow can make any documented call through the HTTP Connector.

How does Tray.ai authenticate with BigML?

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The BigML API uses an API key in the query string. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.

Which BigML events can start a Tray.ai workflow?

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BigML sends 2 events to a webhook URL, for example: Resource creation finished; Resource creation failed. A Tray.ai webhook trigger receives them and starts a workflow.

See BigML working against your stack.

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