Integrate the AWS API with the Scale AI API

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

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Popular Ways to Connect AWS with Scale AI#

Create Document Transcription Task with Scale AI API on New Scheduled Tasks from AWS API

AWS + Scale AI

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Create Document Transcription Task with Scale AI API on New SNS Messages from AWS API

AWS + Scale AI

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Create Image Annotation Task with Scale AI API on New Scheduled Tasks from AWS API

AWS + Scale AI

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Create Image Annotation Task with Scale AI API on New SNS Messages from AWS API

AWS + Scale AI

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Create Text Annotation Task with Scale AI API on New Scheduled Tasks from AWS API

AWS + Scale AI

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Popular AWS and Scale AI Triggers#

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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Popular AWS and Scale AI Actions#

Create Document Transcription Task with the Scale AI API

Create a document transcription task. See the documentation

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Create Image Annotation Task with the Scale AI API

Create an image annotation task. See the documentation

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Create Text Annotation Task with the Scale AI API

Create a text annotation task. 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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DynamoDB - Create Table with the AWS API

Creates a new table to your account. See docs

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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#

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',
    })
    
    */
  },
})

Overview of Scale AI#

Scale AI offers an API to automate and streamline data labeling for machine learning applications, providing access to a global workforce and sophisticated tools. With Scale AI's API on Pipedream, you can integrate scalable data annotation workflows directly into your apps. Trigger tasks, manage datasets, and receive annotated data, all within Pipedream's serverless platform. This enables seamless automation of labeling tasks, integration with machine learning pipelines, and real-time updates on annotations.

Connect Scale AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    scale_ai: {
      type: "app",
      app: "scale_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.scale.com/v1/teams`,
      headers: {
        "Accept": `application/json`,
      },
      auth: {
        username: `${this.scale_ai.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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