ChartMogul

Subscription Analytics and Revenue Reporting

Integrate the ChartMogul API with the PostgreSQL API

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

Add Custom Attributes To Customer Via Email with ChartMogul API on New Column from PostgreSQL API
PostgreSQL + ChartMogul
 
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Add Custom Attributes To Customer Via Email with ChartMogul API on New or Updated Row from PostgreSQL API
PostgreSQL + ChartMogul
 
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Add Custom Attributes To Customer Via Email with ChartMogul API on New Row Custom Query from PostgreSQL API
PostgreSQL + ChartMogul
 
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Add Custom Attributes To Customer Via Email with ChartMogul API on New Row from PostgreSQL API
PostgreSQL + ChartMogul
 
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Add Custom Attributes To Customer Via Email with ChartMogul API on New Table from PostgreSQL API
PostgreSQL + ChartMogul
 
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New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
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New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
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New Table from the PostgreSQL API

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

 
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Add Custom Attributes To Customer Via Email with the ChartMogul API

Adds custom attributes to customers that have the specified email address. See the docs here

 
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Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
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Add Custom Attributes To Customer Via UUID with the ChartMogul API

Adds custom attributes to a given customer. See the docs here

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Add Tags To Customer Via Email with the ChartMogul API

Adds tags to customers that have the specified email address. See the docs here

 
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Overview of ChartMogul

ChartMogul is an analytics platform designed to help subscription businesses analyze their revenue, churn, and other key performance indicators (KPIs). By leveraging the ChartMogul API, you can import, manipulate, and retrieve customer subscription data to gain insights into the financial health of your business. When used with Pipedream, you can automate complex workflows, combine subscription data with external tools, and react in real-time to changes in your subscription metrics.

Connect ChartMogul

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chartmogul: {
      type: "app",
      app: "chartmogul",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.chartmogul.com/v1/ping`,
      auth: {
        username: `${this.chartmogul.$auth.account_token}`,
        password: `${this.chartmogul.$auth.secret_key}`,
      },
    })
  },
})

Overview of PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

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

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