Integrate the Stripe API with the BigML API

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

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Popular Ways to Connect Stripe with BigML#

Create Batch Prediction with BigML API on New Custom Webhook Events from Stripe API

Stripe + BigML

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Create Model with BigML API on New Custom Webhook Events from Stripe API

Stripe + BigML

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Create Source (Remote URL) with BigML API on New Custom Webhook Events from Stripe API

Stripe + BigML

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Cancel a Payment Intent with Stripe API on New Model Created from BigML API

BigML + Stripe

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Cancel a Payment Intent with Stripe API on New Prediction Made from BigML API

BigML + Stripe

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Popular Stripe and BigML Triggers#

New Custom Webhook Events from the Stripe API

Emit new event on each webhook event

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Canceled Subscription from the Stripe API

Emit new event for each new canceled subscription

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New Model Created from the BigML API

Emit new event for every created model. See docs here.

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New Prediction Made from the BigML API

Emit new event for every made prediction. See docs here.

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New Abandoned Cart from the Stripe API

Emit new event when a customer abandons their cart.

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Popular Stripe and BigML Actions#

Create Batch Prediction with the BigML API

Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.

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Cancel a Payment Intent with the Stripe API

Cancel a payment intent. Once canceled, no additional charges will be made by the payment intent and any operations on the payment intent will fail with an error. For payment intents with status=requires_capture, the remaining amount_capturable will automatically be refunded. See the docs for more information

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Create Model with the BigML API

Create a model based on a given source ID, dataset ID, or model ID. See the docs.

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Cancel Or Reverse a Payout with the Stripe API

Cancel or reverse a payout. A payout can be canceled only if it has not yet been paid out. A payout can be reversed only if it has already been paid out. Funds will be refunded to your available balance. See the docs for more information

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Create Source (Remote URL) with the BigML API

Create a source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.

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Overview of Stripe#

The Stripe API is a powerful tool for managing online payments, subscriptions, and invoices. With Pipedream, you can leverage this API to automate payment processing, monitor transactions, and sync billing data with other services. Pipedream's no-code platform allows for quick integration and creation of serverless workflows that react to Stripe events in real-time. For instance, you might automatically update customer records, send personalized emails after successful payments, or escalate failed transactions to your support team.

Connect Stripe#

import stripe from 'stripe'

export default defineComponent({
  props: {
    stripe: {
      type: "app",
      app: "stripe",
    }
  },
  async run({steps, $}) {
    const client = stripe(this.stripe.$auth.api_key)

    return await client.accounts.list({ limit: 1 })
  },
})

Overview of BigML#

The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.

Connect BigML#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bigml: {
      type: "app",
      app: "bigml",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://bigml.io/andromeda/source`,
      params: {
        username: `${this.bigml.$auth.username}`,
        api_key: `${this.bigml.$auth.api_key}`,
      },
    })
  },
})

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