Typeform lets you build no-code forms, quizzes, and surveys - and get more responses.
Receives a text and returns a JSON object containing a list of analyzed sentences. See the docs here
Receives two texts and returns a JSON object containing the text similarity score. See the docs here
The Typeform API furnishes you with the means to create dynamic forms and collect user responses in real-time. By leveraging this API within Pipedream's serverless platform, you can automate workflows to process this data, integrate seamlessly with other services, and react to form submissions instantaneously. This empowers you to craft tailored responses, synchronize with databases, trigger email campaigns, or even manage event registrations without manual intervention.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
typeform: {
type: "app",
app: "typeform",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.typeform.com/me`,
headers: {
Authorization: `Bearer ${this.typeform.$auth.oauth_access_token}`,
},
})
},
})
The Codeq Natural Language Processing API provides powerful text analysis capabilities. It parses and understands complex structures in text, extracting meaningful insights. On Pipedream, you can harness this API to analyze text data from various sources, automate content categorization, sentiment analysis, or even construct rich profiles of user feedback. With Pipedream's serverless platform, these processes can be automated, triggered by events, and integrated with numerous other apps to create robust, data-driven workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
codeq_natural_language_processing_api: {
type: "app",
app: "codeq_natural_language_processing_api",
}
},
async run({steps, $}) {
const data = {
"user_id": `${this.codeq_natural_language_processing_api.$auth.user_id}`,
"user_key": `${this.codeq_natural_language_processing_api.$auth.user_key}`,
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.codeq.com/v1`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})