Metatext.AI Pre-build AI models API

Create and manage machines that read and write.

Integrate the Metatext.AI Pre-build AI models API API with the AWS API

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

Analyze Sentiment with Metatext.AI Pre-build AI models API API on New Scheduled Tasks from AWS API
AWS + Metatext.AI Pre-build AI models API
 
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Analyze Sentiment with Metatext.AI Pre-build AI models API API on New SNS Messages from AWS API
AWS + Metatext.AI Pre-build AI models API
 
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Extract Keywords with Metatext.AI Pre-build AI models API API on New Scheduled Tasks from AWS API
AWS + Metatext.AI Pre-build AI models API
 
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Extract Keywords with Metatext.AI Pre-build AI models API API on New SNS Messages from AWS API
AWS + Metatext.AI Pre-build AI models API
 
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Generate Blog Post with Metatext.AI Pre-build AI models API API on New Scheduled Tasks from AWS API
AWS + Metatext.AI Pre-build AI models API
 
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New Scheduled Tasks from the AWS API

Creates a Step Function State Machine to publish a message to an SNS topic at a specific timestamp. The SNS topic delivers the message to this Pipedream source, and the source emits it as a new event.

 
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New SNS Messages from the AWS API

Creates an SNS topic in your AWS account. Messages published to this topic are emitted from the Pipedream source.

 
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New Inbound SES Emails from the AWS API

The source subscribes to all emails delivered to a specific domain configured in AWS SES. When an email is sent to any address at the domain, this event source emits that email as a formatted event. These events can trigger a Pipedream workflow and can be consumed via SSE or REST API.

 
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New Deleted S3 File from the AWS API

Emit new event when a file is deleted from a S3 bucket

 
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New DynamoDB Stream Event from the AWS API

Emit new event when a DynamoDB stream receives new events. See the docs here

 
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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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CloudWatch Logs - Put Log Event with the AWS API

Uploads a log event to the specified log stream. See docs

 
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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

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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,
    })
  },
})

Overview of AWS

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Connect AWS

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import AWS from 'aws-sdk'

export default defineComponent({
  props: {
    aws: {
      type: "app",
      app: "aws",
    }
  },
  async run({steps, $}) {
    const { accessKeyId, secretAccessKey } = this.aws.$auth
    
    /* Now, pass the accessKeyId and secretAccessKey to the constructor for your desired service. For example:
    
    const dynamodb = new AWS.DynamoDB({
      accessKeyId, 
      secretAccessKey,
      region: 'us-east-1',
    })
    
    */
  },
})