Supabase is an open source Firebase alternative.
Emit new event for every new row added in a table. See documentation here
Emit new event for every insert
, update
, or delete
operation in a table. This source requires user configuration using the Supabase website. More information in the README. Also see documentation here
Determine the sentiment of the given text (positive, negative, or neutral). See the documentation.
Identify and extract significant keywords from the given text. See the documentation.
Generate a blog post based on the given prompt. See the documentation.
Supabase is a real-time backend-as-a-service that provides developers with a suite of tools to quickly build and scale their applications. It offers database storage, authentication, instant APIs, and real-time subscriptions. With the Supabase API, you can perform CRUD operations on your database, manage users, and listen to database changes in real time. When integrated with Pipedream, you can automate workflows that react to these database events, synchronize data across multiple services, or streamline user management processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
supabase: {
type: "app",
app: "supabase",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.supabase.$auth.subdomain}.supabase.co/rest/v1/`,
headers: {
Authorization: `Bearer ${this.supabase.$auth.service_key}`,
"apikey": `${this.supabase.$auth.service_key}`,
},
})
},
})
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,
})
},
})