Integrate the Cradl AI API with the Pipedream API

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

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Popular Ways to Connect Cradl AI with Pipedream#

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

Pipedream + Cradl AI

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

Pipedream + Cradl AI

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Create a Subscription with Pipedream API on New Document Parsing Completed (Instant) from Cradl AI API

Cradl AI + Pipedream

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Delete a Subscription with Pipedream API on New Document Parsing Completed (Instant) from Cradl AI API

Cradl AI + Pipedream

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Generate Component Code with Pipedream API on New Document Parsing Completed (Instant) from Cradl AI API

Cradl AI + Pipedream

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Popular Cradl AI and Pipedream 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 Pipedream API

Exposes an HTTP API for scheduling messages to be emitted at a future time

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New Upcoming Event Alert from the Pipedream API

Emit new event based on a time interval before an upcoming event in the calendar. This source uses Pipedream's Task Scheduler. See the documentation for more information and instructions for connecting your Pipedream account.

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Card Due Date Reminder from the Pipedream API

Emit new event at a specified time before a card is due.

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New Upcoming Calendar Event from the Pipedream API

Emit new event when a Calendar event is upcoming, this source is using reminderMinutesBeforeStart property of the event to determine the time it should emit.

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Popular Cradl AI and Pipedream 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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Create a Subscription with the Pipedream API

Create a Subscription. See Doc

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Delete a Subscription with the Pipedream API

Delete a Subscription. See Doc

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Generate Component Code with the Pipedream API

Generate component code using AI.

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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 Pipedream#

Pipedream is an API that allows you to build applications that can connect to
various data sources and processes them in real-time. You can use Pipedream to
create applications that can perform ETL (Extract, Transform, and Load) tasks,
as well as to create data-driven workflows.

Some examples of applications you can build using the Pipedream API include:

An application that can extract data from a database, transform it, and then
load it into another database.
An application that can monitor a data source for changes, and then trigger a
workflow in response to those changes.
An application that can poll an API for new data, and then process that data
in real-time.

Connect Pipedream#

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

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