What do you want to automate
with Nightfall.ai and Go?
Prompt, edit and deploy AI agents that connect to Nightfall.ai, Go and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Nightfall.ai and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Nightfall.ai#
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.
Connect Nightfall.ai#
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,
})
},
})
Overview of Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies