Tisane Labs

Home of cutting edge, explainable AI software that turns unstructured content into meaningful insights.

Integrate the Tisane Labs API with the Zendesk API

Setup the Tisane Labs API trigger to run a workflow which integrates with the Zendesk API. Pipedream's integration platform allows you to integrate Tisane Labs and Zendesk remarkably fast. Free for developers.

Analyze Text with Tisane Labs API on New Ticket (Instant) from Zendesk API
Zendesk + Tisane Labs
 
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Analyze Text with Tisane Labs API on New Ticket Added to View (Instant) from Zendesk API
Zendesk + Tisane Labs
 
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Analyze Text with Tisane Labs API on Ticket Closed (Instant) from Zendesk API
Zendesk + Tisane Labs
 
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Analyze Text with Tisane Labs API on Ticket Pended (Instant) from Zendesk API
Zendesk + Tisane Labs
 
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Analyze Text with Tisane Labs API on Ticket Solved (Instant) from Zendesk API
Zendesk + Tisane Labs
 
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New Ticket (Instant) from the Zendesk API

Emit new event when a ticket is created

 
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New Ticket Added to View (Instant) from the Zendesk API

Emit new event when a ticket is added to the specified view

 
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Ticket Closed (Instant) from the Zendesk API

Emit new event when a ticket has changed to closed status

 
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Ticket Pending (Instant) from the Zendesk API

Emit new event when a ticket has changed to pending status

 
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Ticket Solved (Instant) from the Zendesk API

Emit new event when a ticket has changed to solved status

 
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Analyze Text with the Tisane Labs API

Analyze text for language, entities, sentiment, and other insights. See the documentation

 
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Create Ticket with the Zendesk API

Creates a ticket. See the documentation.

 
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Detect Language with the Tisane Labs API

Detects languages used in the specified text fragment. See the documentation

 
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Delete Ticket with the Zendesk API

Deletes a ticket. See the documentation.

 
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Generate Image From Text with the Tisane Labs API

Finds and returns a URL of an image (Creative Commons) best describing the text. See the documentation

 
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Overview of Tisane Labs

The Tisane Labs API offers advanced text analysis capabilities, focusing on abusive content detection and linguistic insights. With it, you can automate content moderation, extract entities, detect the sentiment, and identify the language of the text. In Pipedream, Tisane Labs API can be integrated into workflows to process text from various sources such as user comments, support tickets, or social media posts. By leveraging Pipedream's serverless platform, you can create real-time, event-driven applications that respond to text analyses, connect with other services, and perform actions based on the insights gained from the Tisane Labs API.

Connect Tisane Labs

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tisane_labs: {
      type: "app",
      app: "tisane_labs",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.tisane.ai/languages`,
      headers: {
        "Ocp-Apim-Subscription-Key": `${this.tisane_labs.$auth.api_key}`,
      },
    })
  },
})

Overview of Zendesk

The Zendesk API enables seamless integration of Zendesk's customer service platform with your existing business processes and third-party applications. By leveraging this API with Pipedream, you can automate ticket tracking, sync customer data, escalate issues, and streamline communication across multiple channels. This can significantly increase efficiency, accelerate response times, and enhance the overall customer experience. Automations can range from simple notifications to complex workflows involving data transformation and multi-step actions across various services.

Connect Zendesk

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zendesk: {
      type: "app",
      app: "zendesk",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.zendesk.$auth.subdomain}.zendesk.com/api/v2/users/me/`,
      headers: {
        Authorization: `Bearer ${this.zendesk.$auth.oauth_access_token}`,
      },
    })
  },
})