Integrate the Cradl AI API with the AWS API

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

Popular Ways to Connect Cradl AI with AWS#

Parse Document with Cradl AI API on New Scheduled Tasks from AWS API

AWS + Cradl AI

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Parse Document with Cradl AI API on New SNS Messages from AWS API

AWS + Cradl AI

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Parse Document with Human in the Loop with Cradl AI API on New Scheduled Tasks from AWS API

AWS + Cradl AI

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Parse Document with Human in the Loop with Cradl AI API on New SNS Messages from AWS API

AWS + Cradl AI

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Parse Document with Cradl AI API on New Inbound SES Emails from AWS API

AWS + Cradl AI

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Popular Cradl AI and AWS Triggers#

New Document Parsing Completed (Instant) from the Cradl AI API

Emit new event when a document processing flow has completed.

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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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Popular Cradl AI and AWS Actions#

Parse Document with the Cradl AI API

Parses data from a document using a custom selected model. See the documentation

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Parse Document with Human in the Loop with the Cradl AI API

Sends a document to an existing flow for human-in-the-loop processing. 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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DynamoDB - Execute Statement with the AWS API

This operation allows you to perform transactional reads or writes on data stored in DynamoDB, using PartiQL. See docs

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Overview of Cradl AI#

Cradl AI is a powerful tool for creating customized machine learning models without extensive coding knowledge. It specializes in processing and understanding various forms of data, including text and images. Utilizing the Cradl AI API on Pipedream, developers can automate workflows involving data analysis, enhance data-driven decision-making, and integrate AI capabilities into applications seamlessly. This opens up opportunities for dynamic interactions with other services, streamlining operations and enhancing user experiences.

Connect Cradl AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cradl_ai: {
      type: "app",
      app: "cradl_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.lucidtech.ai/v1/users`,
      headers: {
        Authorization: `Bearer ${this.cradl_ai.$auth.oauth_access_token}`,
      },
    })
  },
})

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',
    })
    
    */
  },
})