Integrate the Metatext.AI Pre-build AI models API API with the Amazon SES API

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

Popular Metatext.AI Pre-build AI models API and Amazon SES Actions#

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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Create Email Template with the Amazon SES API

Create a HTML or a plain text email template. See the docs

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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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Get Email Template with the Amazon SES API

Get an email template. See the docs

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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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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#

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,
    })
  },
})

Overview of Amazon SES#

Amazon Simple Email Service (SES) is a powerful cloud-based email sending service designed to help digital marketers and application developers send marketing, notification, and transactional emails. With the SES API, you can reliably send emails at scale, manage sender reputations, view email sending statistics, and maintain a high deliverability rate. Leveraging Pipedream's capabilities, you can integrate SES seamlessly into serverless workflows, automate email responses based on triggers from other apps, and analyze the effectiveness of your email campaigns by connecting to data analytics platforms.

Connect Amazon SES#

module.exports = defineComponent({
  props: {
    amazon_ses: {
      type: "app",
      app: "amazon_ses",
    }
  },
  async run({steps, $}) {
    const AWS = require("aws-sdk")
    const { accessKeyId, secretAccessKey } = this.amazon_ses.$auth
    
    const ses = new AWS.SES({
      accessKeyId, 
      secretAccessKey,
      region: 'us-east-1',
    })
    
    const sesParams = {
      Destination: {
        ToAddresses: ["<your email here>"],
      }, 
      Message: {
        Body: {
          Html: {
            Charset: "UTF-8", 
            Data: "<h1>This is a test</h1>",
          }, 
            Text: {
            Charset: "UTF-8", 
            Data: "This is a test",
          }
        }, 
        Subject: {
          Charset: "UTF-8", 
          Data: "Test email",
        }
      },
      Source: "<your from address here", 
    };
    
    this.resp = await ses.sendEmail(sesParams).promise()
  },
})