Simple and powerful service for encryption-based data anonymization and community sharing, Enabling GDPR, CCPA, and HIPAA data protection compliance
Encrypts sensitive data using AnonyFlow encryption service with a unique private key managed by AnonyFlow. See the documentation
Convert an object to a JSON format string
Decrypts protected data using AnonyFlow decryption service with a unique private key, managed by AnonyFlow. See the documentation
Add or subtract time from a given input
The AnonyFlow API provides a way to manage and automate data privacy operations. Use it on Pipedream to orchestrate data anonymization workflows for compliance with privacy regulations like GDPR. This API can handle personal data extraction, anonymization, and deletion requests programmatically. With Pipedream's serverless platform, you can integrate these privacy functions into your existing systems, triggering actions based on webhooks, schedules, or other apps' events.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
anonyflow: {
type: "app",
app: "anonyflow",
}
},
async run({steps, $}) {
const data = {
"data": `YOUR_DATA`,
}
return await axios($, {
method: "post",
url: `https://api.anonyflow.com/anony-value`,
headers: {
"x-api-key": `${this.anonyflow.$auth.api_key}`,
"accept": `application/json`,
},
data,
})
},
})
The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})