Jotform enables you to create online forms, collect responses directly in your email, and create fillable PDF forms.
Determine the sentiment of the given text (positive, negative, or neutral). See the documentation.
Identify and extract significant keywords from the given text. See the documentation.
Gets number of form submissions received this month. Also, get number of SSL form submissions, payment form submissions and upload space used by user See the docs here
Generate a blog post based on the given prompt. See the documentation.
Jotform’s API is a powerhouse for automating form and survey data management. With Pipedream, harness this API to trigger workflows from new form submissions, manipulate and analyze your form data, and sync it across various platforms. Think streamlined data entry to CRMs, instant notifications for new leads or feedback, and timely data backups to cloud storage.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
jotform: {
type: "app",
app: "jotform",
}
},
methods: {
_getBaseUrl() {
let baseUrl = `https://${this.jotform.$auth.region}.jotform.com/`;
const standardSubdomains = [
"api",
"eu-api",
"hipaa-api",
];
if (!standardSubdomains.includes(this.jotform.$auth.region)) {
baseUrl += "API/";
}
return baseUrl;
},
},
async run({steps, $}) {
const baseUrl = this._getBaseUrl();
return await axios($, {
url: `${baseUrl}user`,
params: {
apiKey: `${this.jotform.$auth.api_key}`,
},
})
},
})
The Metatext.AI Pre-built AI Models API offers various artificial intelligence capabilities such as natural language processing, image recognition, and sentiment analysis. This API enables users to add AI features to their applications without the need for extensive machine learning expertise. Utilizing this API in Pipedream workflows allows for automation and integration with other services, making it possible to process and analyze text and images within a serverless environment efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metatext_ai_pre_build_ai_models_api: {
type: "app",
app: "metatext_ai_pre_build_ai_models_api",
}
},
async run({steps, $}) {
const data = {
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.metatext.ai/hub-inference/sentiment-analysis`,
headers: {
"Content-Type": `application/json`,
"x-api-key": `${this.metatext_ai_pre_build_ai_models_api.$auth.api_key}`,
},
data,
})
},
})