Integrate the Claid AI API with the MongoDB API

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

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Popular Ways to Connect Claid AI with MongoDB#

Correct Color & Lighting with Claid AI API on New Collection from MongoDB API

MongoDB + Claid AI

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Correct Color & Lighting with Claid AI API on New Database from MongoDB API

MongoDB + Claid AI

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Correct Color & Lighting with Claid AI API on New Document from MongoDB API

MongoDB + Claid AI

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Correct Color & Lighting with Claid AI API on New Field in Document from MongoDB API

MongoDB + Claid AI

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Remove Background with Claid AI API on New Collection from MongoDB API

MongoDB + Claid AI

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Popular Claid AI and MongoDB Triggers#

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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Popular Claid AI and MongoDB Actions#

Correct Color & Lighting with the Claid AI API

Automatically adjusts the color and lighting of an image by applying HDR. The result is an enhancement of the dynamic range in dark or overexposed images. See the documentation

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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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Remove Background with the Claid AI API

Easily erases the image's background, effectively isolating the main subject. 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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Upscale Image with the Claid AI API

Enlarges the selected image in order to improve its resolution. By running this action, users can obtain clearer and sharper images. See the documentation

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Overview of Claid AI#

Claid AI API provides tools for image enhancement, including resizing, cropping, increasing resolution, and optimizing for web use. It's suitable for automating image processing tasks in applications like e-commerce, real estate, and content management. On Pipedream, you can create serverless workflows that use the Claid AI API to process images in response to various triggers, such as new file uploads or webhooks, and then pass the processed images to other services or store them.

Connect Claid AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    claid_ai: {
      type: "app",
      app: "claid_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.claid.ai/v1-beta1/storage/storages`,
      headers: {
        Authorization: `Bearer ${this.claid_ai.$auth.api_key}`,
      },
    })
  },
})

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#

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()
  },
})

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