bot9
AI chatbot builder for customer support.
Integrate the bot9 API with the Go API
Setup the bot9 API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate bot9 and Go remarkably fast. Free for developers.
Popular bot9 and Go Actions#
Initiates a new conversation with a Bot9 chatbot. See the documentation
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 bot9#
The Bot9 API enables automated interactions with trading systems, allowing users to execute, manage, and analyze trades through a programmatic interface. In Pipedream, you can leverage this API to craft serverless workflows that handle trading tasks, notifications, and analyses without needing to build a full backend system. This can speed up trade execution, improve response times to market changes, and enable complex trading strategies that adjust to live market data.
Connect bot9#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bot9: {
type: "app",
app: "bot9",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://apiv1.bot9.ai/api/auth/account`,
headers: {
Authorization: `Bearer ${this.bot9.$auth.api_key}`,
},
})
},
})
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)
}