Cheddar
Subscription and usage-based billing. Cheddar's modern approach to billing gets you up and running in as little as one day.
Integrate the Cheddar API with the Go API
Setup the Cheddar API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Cheddar and Go remarkably fast. Free for developers.
Popular Cheddar 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 Cheddar#
The Cheddar API provides developers with the ability to manage subscription billing and track customer usage data. In Pipedream, you can leverage the Cheddar API to automate billing operations, synchronize customer data across platforms, and respond to events like payment successes or failures. Use HTTP requests to integrate Cheddar's features into your Pipedream workflows, seamlessly connecting with other apps available on Pipedream's platform.
Connect Cheddar#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cheddar: {
type: "app",
app: "cheddar",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://getcheddar.com/xml/plans/get/productCode/DELUXROOM`,
auth: {
username: `${this.cheddar.$auth.email}`,
password: `${this.cheddar.$auth.password}`,
},
})
},
})
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)
}