with Square and Metatext.AI Pre-build AI models API?
Determine the sentiment of the given text (positive, negative, or neutral). See the documentation
Creates a new customer for a business. Must provide at least one of the following: Given Name, Family Name, Company Name, Email Address, or Phone Number. See the docs
Identify and extract significant keywords from the given text. See the documentation
Creates a draft invoice for an order. You must send (publish) the invoice before Square can process it. See the documentation
Generate a blog post based on the given prompt. See the documentation
The Square API opens up a realm of possibilities for merchants to effortlessly manage their sales, inventory, customers, and payments. With Pipedream, you can automate actions based on events in Square, such as new transactions, updated orders, or customer profile changes. Craft custom workflows that react in real-time, sync data across platforms, or streamline reporting. Through Pipedream's serverless platform, you can connect Square with countless other apps without writing extensive code, turning manual tasks into automated, efficient processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
square: {
type: "app",
app: "square",
}
},
async run({steps, $}) {
return await axios($, {
method: "post",
url: `https://connect.squareup.com/oauth2/token/status`,
headers: {
Authorization: `Bearer ${this.square.$auth.oauth_access_token}`,
},
})
},
})
The Metatext.AI Pre-built AI Models API offers various artificial intelligence capabilities such as natural language processing, image recognition, and sentiment analysis. This API enables users to add AI features to their applications without the need for extensive machine learning expertise. Utilizing this API in Pipedream workflows allows for automation and integration with other services, making it possible to process and analyze text and images within a serverless environment efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metatext_ai_pre_build_ai_models_api: {
type: "app",
app: "metatext_ai_pre_build_ai_models_api",
}
},
async run({steps, $}) {
const data = {
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.metatext.ai/hub-inference/sentiment-analysis`,
headers: {
"Content-Type": `application/json`,
"x-api-key": `${this.metatext_ai_pre_build_ai_models_api.$auth.api_key}`,
},
data,
})
},
})