with MonkeyLearn and Stripe?
Extracts information from texts with a given extractor. See the docs here
Uploads data to a classifier. This component can be used to upload new data to a classifier, to update the tags of texts that have already been uploaded, or both. See the docs here
Cancel a pending payout or reverse a paid payout. See the documentation here and here
MonkeyLearn is a text analysis platform that employs machine learning to extract and process data from chunks of text. By leveraging the MonkeyLearn API on Pipedream, you can automate the categorization of text, extract specific data, analyze sentiment, and more, all in real-time. This enables the development of powerful custom workflows that can analyze customer feedback, automate email processing, or provide insightful analytics on textual data from various sources.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
monkeylearn: {
type: "app",
app: "monkeylearn",
}
},
async run({steps, $}) {
const data = {
"data": [
"This is a great tool!",
]
}
return await axios($, {
method: "post",
url: `https://api.monkeylearn.com/v3/classifiers/cl_pi3C7JiL/classify/`,
headers: {
"Authorization": `Token ${this.monkeylearn.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})
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.
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 })
},
})