Integrate the Thanks.io API with the Schedule API

thanks.io provides an API that will help you recognize and reward your
employees, customers, and partners. With thanks.io, you can quickly and easily
create personalized tokens of appreciation with messages and funds.

Thanks.io offers powerful API features that let you create custom recognition
experiences for your clients and employees. With API calls, you can:

Create customizable message tokens that your team can send to recognize
individual accomplishments
Reward your users with token-based payments for a job well done
Track the performance of each user and reward them in real-time
Easily create promo codes to give thanks to your team
Issue holiday tokens as a way of saying thanks

Examples of what you can build using the thanks.io API:

Employee recognition programs
Client loyalty programs
Incentive programs
Referral programs
Gift giving programs

Connect Thanks.io#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    thanks_io: {
      type: "app",
      app: "thanks_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.thanks.io/api/v2/ping`,
      headers: {
        Authorization: `Bearer ${this.thanks_io.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of Schedule#

With Schedule - A trigger provided by Pipedream - You can easily build
automated workflows that run on regular times or intervals. Some examples of
things that you can build using the Schedule API include:

Automated data retrieval from a third-party service, like pulling stats from
your Salesforce account on a set schedule.
Uploading new data sets to a database with a predetermined interval.
Automatic emails to customers or leads at a certain time of the day.
Automating data analysis based on a set schedule.
Automatically optimizing social media postings according to a specified
timeline.
Updating webpages at a certain interval with newly available content.
Re-running reports on a periodic basis.
Refreshing a cache of data at a given frequency.