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Metatext.AI Pre-build AI models API

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Build and run workflows using the Metatext.AI Pre-build AI models API API. Use 1000s of source-available triggers and actions across 2,700+ apps. Or write custom code to integrate any app or API in seconds.

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Overview

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.

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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,
    })
  },
})

Example Use Cases

  • Content Moderation Workflow: Use Metatext.AI's sentiment analysis to filter and moderate user-generated content in real-time. Set up a Pipedream workflow that monitors a database or stream for new entries, passes the text through Metatext.AI for analysis, and flags or removes content based on negativity scores. This can be integrated with a CMS like WordPress for automated content control.

  • Image Categorization and Tagging: Automate the process of sorting and tagging images by content. Build a workflow where upon uploading an image to a cloud storage service like Amazon S3, the image is then sent to Metatext.AI for recognition. The resulting tags are added to the image metadata in the storage service, or used to sort images into appropriate folders/categories.

  • Customer Feedback Analysis: Analyze customer feedback by connecting Metatext.AI with customer support platforms such as Zendesk. Create a Pipedream workflow that triggers when new support tickets are submitted, applies Metatext.AI's sentiment analysis to determine the urgency or overall sentiment of the ticket, and then prioritizes or routes the ticket accordingly within Zendesk based on the analysis.

Analyze Sentiment with Metatext.AI Pre-build AI models API API on New Scraping Completed from WebScraper.IO API
WebScraper.IO + Metatext.AI Pre-build AI models API
 
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Spam Or Not with Metatext.AI Pre-build AI models API API on New Requests from HTTP / Webhook API
HTTP / Webhook + Metatext.AI Pre-build AI models API
 
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Spam Or Not with Metatext.AI Pre-build AI models API API on New Item in Feed from RSS API
RSS + Metatext.AI Pre-build AI models API
 
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Spam Or Not with Metatext.AI Pre-build AI models API API on New Message (Instant) from Discord API
Discord + Metatext.AI Pre-build AI models API
 
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Spam Or Not with Metatext.AI Pre-build AI models API API on New Message In Channels (Instant) from Slack API
Slack + Metatext.AI Pre-build AI models API
 
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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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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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Generate Blog Post with the Metatext.AI Pre-build AI models API API

Generate a blog post based on the given prompt. See the documentation

 
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Generate Headline with the Metatext.AI Pre-build AI models API API

Generate a short summary for news headlines. See the documentation

 
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Generate Text with the Metatext.AI Pre-build AI models API API

Generate text based on the given prompt. See the documentation

 
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Authentication

Name Slug: metatext_ai_pre_build_ai_models_api

Metatext.AI Pre-build AI models API uses API keys for authentication. When you connect your Metatext.AI Pre-build AI models API account, Pipedream securely stores the keys so you can easily authenticate to Metatext.AI Pre-build AI models API APIs in both code and no-code steps.

Sign in and copy your API key from the Settings page.

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