---
title: "Connect Openlayer to Trainual - APIANT.ai"
description: "When \"New Project\" fires in Openlayer, your agent runs \"Send Webhook Test Event\" in Trainual."
canonical: "https://apiant.ai/connect/openlayer-to-trainual"
---

# Connect Openlayer to Trainual

When **New Project** fires in [Openlayer](https://apiant.ai/connections/openlayer), your agent runs **Send Webhook Test Event** in [Trainual](https://apiant.ai/connections/trainual). Describe the whole flow and it is built, tested on every scenario and kept running.

Openlayer **2** triggers Openlayer **22** actions Trainual **20** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Openlayer and Trainual to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One 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.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

Example flows

## What Openlayer can start in Trainual

- When **New Project** in Openlayer then **Send Webhook Test Event** in Trainual
- When **New Test Result** in Openlayer then **Update user** in Trainual

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 Openlayer and Trainual

## Triggers and actions 2 triggers · 42 actions

- Trigger

**New Project**

Triggers when a new project is created in your Openlayer workspace.

- Trigger

**New Test Result**

Triggers when a new test result is available for a data source. Useful for alerting on passing or failing model tests.

- Action

**Create Data Source**

Creates a new data source in a project for streaming production data to Openlayer.

- Action

**Create Project**

Creates a new AI or ML project in your Openlayer workspace.

- Action

**Create Test**

Creates a data quality test in a project. Checks for duplicate rows, null values, or row counts.

- Action

**Delete Inference Pipeline**

Delete an inference pipeline by its ID.

- Action

**Delete Project**

Delete a project by its ID.

- Action

**Delete Test**

Delete a test by its ID.

- Action

**Evaluate Test**

Evaluates a test for a specific time range. Use after publishing records to get immediate results.

- Action

**Find Data Source**

Finds a data source (inference pipeline) by name in a project.

- Action

**Find Project**

Finds a project by name in your Openlayer workspace.

- Action

**Find Test Result**

Finds test results for a data source, including whether each test passed or failed. Filter by outcome or test type to branch an automation on the result.

- Action

**Get Inference Pipeline**

Retrieve the details around a specific inference pipeline.

- Action

**Get Project**

Retrieves one project by its id. Openlayer has no single-project endpoint, so this reads the workspace's first 100 projects and returns the one matching the id.

- Action

**Get Test**

Retrieve a test by ID.

- Action

**Get Test Result**

Retrieves one test result by its id. Openlayer has no single-result endpoint, so this reads the data source's 100 most recent results and returns the matching one.

- Action

**List Inference Pipelines**

List the authenticated user's inference pipelines under a project.

- Action

**List Projects**

Lists the projects in your Openlayer workspace, optionally narrowed to one kind of project. Returns up to 100 projects.

- Action

**List Test Results**

List all results for a test/goal under an inference pipeline.

- Action

**List Tests**

Lists the tests in a project, optionally narrowed by kind, archived state or monitoring mode. Returns up to 100 tests.

- Action

**Publish Record**

Publishes an LLM inference record to a data source for monitoring. Streams the model input, output, and metadata to Openlayer.

- Action

**Update Inference Pipeline**

Update an inference pipeline.

- Action

**Update Project**

Update a project.

- Action

**Update Test**

Update a test (partial updates allowed).

- Action

**Add group**

Creates a new group (role, team, department or location) in Trainual, optionally with its members, managers and assigned subjects.

- Action

**Archive User**

Archives (deactivates) a Trainual user so they can no longer access the account.

- Action

**Assign Roles**

Assigns a user to a role in Trainual, keeping the role's existing members.

- Action

**Assign Subjects**

Assigns a Trainual subject to a user, optionally with a due date and completion requirement.

- Action

**Find content**

Searches published Trainual content (subjects, documents, pages, tests, flowcharts, videos, files, checklists and courses) by keyword and returns the best matches.

- Action

**Get subject**

Returns a single Trainual subject by its id, optionally with its owner and content items.

- Action

**Get user**

Returns a single non-archived Trainual user, optionally with the groups they belong to.

- Action

**Invite New User**

Creates a user in your Trainual account and sends (or schedules) their invitation.

- Action

**List assignments**

Returns the training assignments in your Trainual account, optionally limited to one user or one piece of content.

- Action

**List completions**

Returns training completion records in the Trainual account, optionally filtered by user, content, or completion status.

- Action

**List groups**

Returns the groups (roles, teams, departments, locations) in your Trainual account, optionally filtered by kind or by a user's membership.

- Action

**List responsibilities**

Returns the responsibilities in your Trainual account, optionally limited to those assigned to a user or group.

- Action

**List subjects**

Returns the subjects in your Trainual account, optionally with their owners and content items.

- Action

**List users**

Returns the non-archived users in your Trainual account.

- Action

**Send Webhook Test Event**

Asks Trainual to send a test event to a webhook subscription.

- Action

**Unarchive User**

Restores an archived Trainual user to the account and returns the updated user. Other profile details can be changed in the same step.

- Action

**Unassign Roles**

Removes a user from a Trainual role, keeping the role's other members.

- Action

**Unassigns Subjects**

Removes a subject assignment, unassigning that subject from the user it was assigned to.

- Action

**Update group**

Updates a Trainual group's name, description and kind, and optionally replaces its members, managers and assigned subjects.

- Action

**Update user**

Updates an existing Trainual user's profile details, permission and manager, and can archive or restore the user. Returns the updated user.

## Each app on its own

- [ **Openlayer** Openlayer is a platform for monitoring, evaluating, and testing AI and ML models in production.](https://apiant.ai/connections/openlayer)
- [ **Trainual** Trainual is a simple tool for building the how-to guide for your business.](https://apiant.ai/connections/trainual)

Reviews

## What our customers say

## More from Openlayer

- [ **Openlayer to Astroworld** Astroworld serves reference data about the game Minecraft.](https://apiant.ai/connect/openlayer-to-astroworld)
- [ **Openlayer to Byabbe** Seach histories from wikipedia for a particular day](https://apiant.ai/connect/openlayer-to-byabbe)
- [ **Openlayer to Cliniko** Cliniko is a practice management platform — manage patients, appointments, invoices, contacts, and...](https://apiant.ai/connect/openlayer-to-cliniko)
- [ **Openlayer to Enrich CRM** Enrich CRM helps you perform real-time contact and company enrichment.](https://apiant.ai/connect/openlayer-to-enrich-crm)
- [ **Openlayer to Evervault** Evervault provides secure encryption infrastructure for developers.](https://apiant.ai/connect/openlayer-to-evervault)
- [ **Openlayer to Postman** Postman is a platform for building and testing APIs.](https://apiant.ai/connect/openlayer-to-postman)

## More into Trainual

- [ **HubSpot to Trainual** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-trainual)
- [ **Salesforce to Trainual** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-trainual)
- [ **Slack to Trainual** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-trainual)
- [ **Google Sheets to Trainual** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-trainual)
- [ **Gmail to Trainual** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-trainual)
- [ **Google Calendar to Trainual** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-trainual)

Questions

## Openlayer and Trainual, answered

###

### What can start an automation from Openlayer?

Any of Openlayer's 2 triggers in the catalog, including New Project and New Test Result. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Trainual when something happens in Openlayer?

Any of Trainual's 20 actions, including Send Webhook Test Event, Update group, Update user and Add group. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Trainual to Openlayer?

Trainual has no triggers in the catalog today, so automations start in Openlayer. If you need the other direction, ask: your agent reads Trainual's API documentation and adds it.

###

### Do I have to build a connector for Openlayer or Trainual?

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 Openlayer and Trainual 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.
