Discover, classify, and protect your sensitive data wherever it lives.
Create a new document in a collection of your choice. See the docs here
Execute an aggregation pipeline on a MongoDB collection. See the documentation
The Nightfall.ai API excels in identifying and managing sensitive information exposed in text and file payloads. With Pipedream's serverless integration platform, you can wire Nightfall.ai into a variety of workflows to automate data protection and compliance processes. By tapping into Nightfall's machine learning capabilities, you can build workflows that scan and react to data in motion, ensuring sensitive info like credit card numbers, passwords, or Personally Identifiable Information (PII) is caught and handled securely.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nightfall_ai: {
type: "app",
app: "nightfall_ai",
}
},
async run({steps, $}) {
const data = {
"fileSizeBytes": `123`,
}
return await axios($, {
method: "post",
url: `https://api.nightfall.ai/v3/upload`,
headers: {
Authorization: `Bearer ${this.nightfall_ai.$auth.api_key}`,
"Accept": `application/json`,
"Content-Type": `application/json`,
},
data,
})
},
})
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.
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()
},
})