Budgets.ai
Generative AI-driven platform that help sales and marketing teams identify and predict relevant budgets.
Integrate the Budgets.ai API with the Go API
Setup the Budgets.ai API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Budgets.ai and Go remarkably fast. Free for developers.
Popular Budgets.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 Budgets.ai#
The Budgets.ai API offers robust tools for managing budgets, tracking expenses, and monitoring financial goals. By leveraging this API on Pipedream, you can automate your financial data processes, sync with other financial tools, and generate real-time analytics and notifications. Pipedream's serverless platform facilitates the integration of Budgets.ai with hundreds of other apps, enabling you to create custom, automated workflows that fit your financial management needs.
Connect Budgets.ai#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
budgets_ai: {
type: "app",
app: "budgets_ai",
}
},
async run({steps, $}) {
const data = {
"api_key": `${this.budgets_ai.$auth.api_key}`,
"domain": `pipedream.com`,
}
return await axios($, {
method: "post",
url: `https://crm.budgets.ai/api-product/incoming-webhook/enrich-company`,
headers: {
"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)
}