Cradl AI

Automate internal document processes with AI.

Integrate the Cradl AI API with the MongoDB API

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

Create New Document with MongoDB API on New Document Parsing Completed (Instant) from Cradl AI API
Cradl AI + MongoDB
 
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Delete a Document with MongoDB API on New Document Parsing Completed (Instant) from Cradl AI API
Cradl AI + MongoDB
 
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Execute Aggregation with MongoDB API on New Document Parsing Completed (Instant) from Cradl AI API
Cradl AI + MongoDB
 
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Find Document by Id with MongoDB API on New Document Parsing Completed (Instant) from Cradl AI API
Cradl AI + MongoDB
 
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Find Document with MongoDB API on New Document Parsing Completed (Instant) from Cradl AI API
Cradl AI + MongoDB
 
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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 Collection from the MongoDB API

Emit new an event when a new collection is added to a database

 
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New Database from the MongoDB API

Emit new an event when a new database is added

 
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New Document from the MongoDB API

Emit new an event when a new document is added to a collection

 
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New Field in Document from the MongoDB API

Emit new an event when a new field is added to a document

 
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Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

 
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Parse Document with the Cradl AI API

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

 
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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

 
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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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Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

 
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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

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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 MongoDB

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB

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import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})