Integration platform for developers
Exposes an HTTP API for scheduling messages to be emitted at a future time
Emit new event based on a time interval before an upcoming event in the calendar. This source uses Pipedream's Task Scheduler. See the documentation for more information and instructions for connecting your Pipedream account.
Emit new event when a Calendar event is upcoming, this source is using reminderMinutesBeforeStart
property of the event to determine the time it should emit.
Transcribe an audio file to text with Astica AI See the documentation
Convert text to voice audio with Astica AI See the documentation
Pipedream is an API that allows you to build applications that can connect to
various data sources and processes them in real-time. You can use Pipedream to
create applications that can perform ETL (Extract, Transform, and Load) tasks,
as well as to create data-driven workflows.
Some examples of applications you can build using the Pipedream API include:
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pipedream: {
type: "app",
app: "pipedream",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pipedream.com/v1/users/me`,
headers: {
Authorization: `Bearer ${this.pipedream.$auth.api_key}`,
},
})
},
})
The Astica.ai API affords developers the ability to tap into advanced natural language processing (NLP) capabilities. By integrating this API into Pipedream workflows, you can automate text analysis, summarization, sentiment analysis, and more, leveraging the AI-powered insights to enrich applications or streamline processes. Pipedream’s serverless platform makes it painless to set up event-driven workflows that respond to various triggers and manipulate or move data between apps with no need for infrastructure management.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
astica_ai: {
type: "app",
app: "astica_ai",
}
},
async run({steps, $}) {
const data = {
"tkn": `${this.astica_ai.$auth.api_key}`,
"modelVersion": `2.1_full`,
"input": `https://www.astica.org/inputs/analyze_3.jpg`,
"visionParams": `gpt, describe, describe_all, tags, objects`,
"gpt_prompt": ``,
"gpt_length": `90`,
}
return await axios($, {
method: "post",
url: `https://vision.astica.ai/describe`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})