Peltarion AI (Preview)

Using this connector, you can connect your app with your Peltarion models. Just add the connector and enter URL and token from the Peltarion platform, and send your data

This connector is available in the following products and regions:

Service Class Regions
Logic Apps Standard All Logic Apps regions except the following:
     -   Azure Government regions
     -   Azure China regions
Power Automate Premium All Power Automate regions except the following:
     -   US Government (GCC)
     -   US Government (GCC High)
     -   China Cloud operated by 21Vianet
Power Apps Premium All Power Apps regions except the following:
     -   US Government (GCC)
     -   US Government (GCC High)
     -   China Cloud operated by 21Vianet
Contact
Name Peltarion
URL https://peltarion.com/
Email contact@peltarion.com
Connector Metadata
Publisher Peltarion
Website https://peltarion.com/
Privacy policy https://peltarion.com/privacy-policies
Categories AI;Data

Use deep learning in your apps! Peltarion’s plugin is the simplest and fastest way to create smart applications. With this integration, you can build and deploy AI models and connect them with Power Apps.

Some examples of what you can build:

  • An app that can classify customer support tickets according to urgency and sentiment (tutorial, demo)
  • An app that can label images as per the clothing category they belong to (say in an e-commerce catalog) (tutorial)
  • An app for predicting house value in a particular neighborhood (tutorial)

More examples here.

Getting started

  1. Sign up for free on the Peltarion Platform
  2. Follow along with these tutorials (link, link) or by watching this demo (link)
  3. Build and train your AI model on the Peltarion platform
  4. Add the Peltarion connector to your app and enter your credentials

To call the API you only need one action. To use the connector and store the value into a variable res, you can call the API like this:

ClearCollect(dd, { <YOUR-INPUT-PARAM>: TextInput1.Text});
Set(jdata, JSON(dd, JSONFormat.IncludeBinaryData));
Set(res, Peltarion.callapi(jdata))

Check out the GitHub-page for more details.

The res is an object with three values:

  • key is the name of the predicted class. For regression problems, the key is always "value"
  • val is the probability of the class
  • errorMessage holds the error message, if any

Your URL, token and input name is found on the Deployment view on the Peltarion Platform.

For information on how to build and train an AI model on the Peltarion platform, visit our knowledge center

Creating a connection

To connect your account, you will need the following information:

Name Type Description
Peltarion API URL string

The Peltarion API URL for this app

Peltarion API Token string

The Peltarion API Token for this app

Throttling Limits

Name Calls Renewal Period
API calls per connection10060 seconds

Actions

Call Peltarion API

This function calls your model deployed on the Peltarion Platform.

Call Peltarion API

This function calls your model deployed on the Peltarion Platform.

Parameters

Name Key Required Type Description
Call body in JSON format.
peltarionbody True string

Peltarion body

Returns

Name Path Type Description
key
key string

key

val
val string

val

errorMessage
errorMessage string

errorMessage