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with Slack and Metatext.AI Pre-build AI models API?

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Analyze Sentiment with Metatext.AI Pre-build AI models API API on New Channel Created (Instant) from Slack v2 API
Slack + Metatext.AI Pre-build AI models API
 
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Analyze Sentiment with Metatext.AI Pre-build AI models API API on New Interaction Events (Instant) from Slack v2 API
Slack + Metatext.AI Pre-build AI models API
 
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Analyze Sentiment with Metatext.AI Pre-build AI models API API on New Keyword Mention (Instant) from Slack v2 API
Slack + Metatext.AI Pre-build AI models API
 
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Analyze Sentiment with Metatext.AI Pre-build AI models API API on New Message In Channels (Instant) from Slack v2 API
Slack + Metatext.AI Pre-build AI models API
 
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Analyze Sentiment with Metatext.AI Pre-build AI models API API on New Reaction Added (Instant) from Slack v2 API
Slack + Metatext.AI Pre-build AI models API
 
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New Channel Created (Instant) from the Slack API

Emit new event when a new channel is created.

 
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New Interaction Events (Instant) from the Slack API

Emit new events on new Slack interactivity events sourced from Block Kit interactive elements, Slash commands, or Shortcuts

 
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New Keyword Mention (Instant) from the Slack API

Emit new event when a specific keyword is mentioned in a channel

 
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New Message In Channels (Instant) from the Slack API

Emit new event when a new message is posted to one or more channels

 
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New Reaction Added (Instant) from the Slack API

Emit new event when a member has added an emoji reaction to a message

 
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Add Emoji Reaction with the Slack API

Add an emoji reaction to a message. See the documentation

 
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Analyze Sentiment with the Metatext.AI Pre-build AI models API API

Determine the sentiment of the given text (positive, negative, or neutral). See the documentation

 
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Approve Workflow with the Slack API

Suspend the workflow until approved by a Slack message. See the documentation

 
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Extract Keywords with the Metatext.AI Pre-build AI models API API

Identify and extract significant keywords from the given text. See the documentation

 
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Archive Channel with the Slack API

Archive a channel. See the documentation

 
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Integrate the Slack API with the Metatext.AI Pre-build AI models API API
Setup the Slack API trigger to run a workflow which integrates with the Metatext.AI Pre-build AI models API API. Pipedream's integration platform allows you to integrate Slack and Metatext.AI Pre-build AI models API remarkably fast. Free for developers.

Overview of Slack

The Pipedream app for Slack enables you to build event-driven workflows that interact with the Slack API. Once you authorize the app's access to your workspace, you can use Pipedream workflows to perform common Slack actions or write your own code against the Slack API.

The Pipedream app for Slack is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.

  • Automate posting updates to your team channels
  • Create a bot to answer common questions
  • Integrate with your existing tools and services
  • And much more!

Connect Slack

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    slack_v2: {
      type: "app",
      app: "slack_v2",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://slack.com/api/users.profile.get`,
      headers: {
        Authorization: `Bearer ${this.slack_v2.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of Metatext.AI Pre-build AI models API

The Metatext.AI Pre-built AI Models API offers various artificial intelligence capabilities such as natural language processing, image recognition, and sentiment analysis. This API enables users to add AI features to their applications without the need for extensive machine learning expertise. Utilizing this API in Pipedream workflows allows for automation and integration with other services, making it possible to process and analyze text and images within a serverless environment efficiently.

Connect Metatext.AI Pre-build AI models API

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    metatext_ai_pre_build_ai_models_api: {
      type: "app",
      app: "metatext_ai_pre_build_ai_models_api",
    }
  },
  async run({steps, $}) {
    const data = {
      "text": `{your_text}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.metatext.ai/hub-inference/sentiment-analysis`,
      headers: {
        "Content-Type": `application/json`,
        "x-api-key": `${this.metatext_ai_pre_build_ai_models_api.$auth.api_key}`,
      },
      data,
    })
  },
})

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo