Create and manage machines that read and write.
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
The Metatext.AI Inference API allows developers to leverage advanced machine learning models for natural language understanding tasks such as classification, sentiment analysis, named entity recognition, and more. In Pipedream, you can easily integrate this API into your serverless workflows to automate text analysis and enrichment across various data sources and applications.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metatext_ai_inference_api: {
type: "app",
app: "metatext_ai_inference_api",
}
},
async run({steps, $}) {
const data = {
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.metatext.ai/v1/inference/${this.metatext_ai_inference_api.$auth.model_id}`,
headers: {
"Content-Type": `application/json`,
"x-api-key": `${this.metatext_ai_inference_api.$auth.api_key}`,
},
data,
})
},
})
Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores.
This includes installing NPM packages, within your code without having to manage a package.json
file or running npm install
.
Below is an example of installing the axios
package in a Pipedream Node.js code step. Pipedream imports the axios
package, performs the API request, and shares the response with subsequent workflow steps:
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
return steps.trigger.event
},
})