Integrate the SimpleHash API with the Go API

Setup the SimpleHash API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate SimpleHash and Go remarkably fast. Free for developers.

Popular SimpleHash and Go Actions#

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

Try it

Overview of SimpleHash#

SimpleHash API offers tools to easily verify and retrieve blockchain data, simplifying the complexities involved in interacting with various blockchain protocols. With SimpleHash on Pipedream, you can automate workflows to monitor transactions, validate wallet addresses, fetch non-fungible token (NFT) metadata, and more, all in real-time. Pipedream's serverless platform lets you connect SimpleHash with hundreds of other apps to trigger actions, process data, and create powerful automations without needing to manage infrastructure.

Connect SimpleHash#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    simplehash: {
      type: "app",
      app: "simplehash",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.simplehash.com/api/v0/nfts`,
      headers: {
        "X-API-KEY": `${this.simplehash.$auth.api_key}`,
      },
      params: {
        chains: `optimism,ethereum,solana`,
      },
    })
  },
})

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)
}