PayTrace

Find your payment gateway to happy. ​Simple payment solutions to save time and fuel growth.​

Integrate the PayTrace API with the MySQL API

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

Batch Summary with PayTrace API on New Column from MySQL API
MySQL + PayTrace
 
Try it
Batch Summary with PayTrace API on New or Updated Row from MySQL API
MySQL + PayTrace
 
Try it
Batch Summary with PayTrace API on New Row (Custom Query) from MySQL API
MySQL + PayTrace
 
Try it
Batch Summary with PayTrace API on New Row from MySQL API
MySQL + PayTrace
 
Try it
Batch Summary with PayTrace API on New Table from MySQL API
MySQL + PayTrace
 
Try it
New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

 
Try it
New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

 
Try it
New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

 
Try it
New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

 
Try it
New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

 
Try it
Batch Summary with the PayTrace API

This method can be used to export a summary of specific batch details or currently pending settlement details by card and transaction type. If no optional parameter is provided, the latest batch details will be returned. See docs here

 
Try it
Create Row with the MySQL API

Adds a new row. See the docs here

 
Try it
List Batch Transactions with the PayTrace API

This method can be used to export settled transaction details within a specific batch. This method will return one or more transaction records. See docs here

 
Try it
Delete Row with the MySQL API

Delete an existing row. See the docs here

 
Try it
List Batches by Date Range with the PayTrace API

This method can be used to export a set of batch summary details with a provided date range. This method will return one or more batch summary records. See docs here

 
Try it

Overview of PayTrace

The PayTrace API offers a robust suite of payment processing tools for developers aiming to build seamless payment integrations. With it, you can automate credit card transactions, manage customer profiles, and generate detailed reports, among other functionalities. Leveraging the PayTrace API on Pipedream allows you to create workflows that interact with other services like CRMs, accounting software, and ecommerce platforms, facilitating tasks like sales automation, financial reconciliation, and data synchronization.

Connect PayTrace

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    paytrace: {
      type: "app",
      app: "paytrace",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.paytrace.com/`,
      headers: {
        Authorization: `Bearer ${this.paytrace.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of MySQL

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.mysql.executeQuery(queryObj);
    return rows;
  },
});