Notarize

Online notary service

Integrate the Notarize API with the Go API

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

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 Notarize

Notarize is an API that allows you to conduct secure and legally binding
eNotary transactions. This API enables you to easily integrate with your
existing applications to quickly and reliably create, notarize, and store
digital documents, products, or services around the world.

Notarize provides users with the ability to digitally notarize documents within
minutes. You can effectively sanitize your processes, eliminate manual and
paper-based steps, and verify your signer's identity all without leaving your
home or office.

Using Notarize's API, you can quickly and securely create a variety of services
and products, including but not limited to:

  • Digitally signed legal contracts
  • Online loans and rental agreements
  • Notarized wills and trusts
  • Digital passports and visas
  • Interstate marriages
  • Real estate transactions
  • Notarized medical documents
  • Charity and campaign donations
  • Financing and equity documents
  • IPO and M&A documents

Connect Notarize

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    notarize: {
      type: "app",
      app: "notarize",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.notarize.com/v1/transactions`,
      headers: {
        "ApiKey": `${this.notarize.$auth.api_key}`,
      },
    })
  },
})

Connect Go

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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)
}