An app to organize all your links, files, and notes into visual collections.
Emit new event when a new collection, item, comment, or reaction occurs. See the documentation
Emit new event when a new item is added to a collection in Dropmark. See the documentation
Emit new event when a new batch is completed in OpenAI. See the documentation
Emit new event when a new file is created in OpenAI. See the documentation
Emit new event when a new fine-tuning job is created in OpenAI. See the documentation
Retrieves a blended feed of newly created collections, items, comments, and reactions. See the documentation
The Chat API, using the gpt-3.5-turbo
or gpt-4
model. See the documentation
Retrieves a list of items in a specific collection. See the documentation
Summarizes text using the Chat API. See the documentation
Classify items into specific categories using the Chat API. See the documentation
The Dropmark API enables you to interact programmatically with the Dropmark service, allowing you to create, update, and manage collections and items within those collections. With Pipedream, you can leverage this API to automate workflows that connect Dropmark with other services, process content, and respond to events. For instance, you could automate the organization of resources, sync content across platforms, or even curate collaborative collections effortlessly.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dropmark: {
type: "app",
app: "dropmark",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.dropmark.com/v1/users/me/`,
headers: {
"X-API-Key": `${this.dropmark.$auth.api_key}`,
},
})
},
})
OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:
Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
openai: {
type: "app",
app: "openai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.openai.com/v1/models`,
headers: {
Authorization: `Bearer ${this.openai.$auth.api_key}`,
},
})
},
})