with Relevance AI and Supabase Management API?
Emit new event when a database backup is completed for a project. See the documentation
Executes a specific tool within Relevance AI and waits for a response for up to 60 seconds. See the documentation
Creates a new Supabase project within a specified organization. See the documentation
Sends a message directly to an agent in Relevance AI. This action doesn't wait for an agent response.
Generates TypeScript types based on the current database schema for a specified Supabase project. See the documentation
Relevance AI is a powerful tool for handling complex data operations like clustering, vector search, and data visualization. On Pipedream, you can use the Relevance AI API to automate data enrichment, analysis, and integration tasks. This integration opens up possibilities for dynamic data workflows, enabling real-time data processing and insights generation across various platforms.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
relevance_ai: {
type: "app",
app: "relevance_ai",
}
},
async run({steps, $}) {
return await axios($, {
method: "post",
url: `https://api-${this.relevance_ai.$auth.region}.stack.tryrelevance.com/latest/agents/list`,
headers: {
"authorization": `${this.relevance_ai.$auth.project}:${this.relevance_ai.$auth.api_key}`,
},
})
},
})
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
supabase_management_api: {
type: "app",
app: "supabase_management_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.supabase.com/v1/organizations`,
headers: {
Authorization: `Bearer ${this.supabase_management_api.$auth.oauth_access_token}`,
"Accept": `application/json`,
},
})
},
})