Scan Text for AI Detection with GPTZero: Detect AI API on New Item in Feed from RSS API

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Trigger workflow on

New Item in Feed from the RSS API

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Scan Text for AI Detection with the GPTZero: Detect AI API

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Getting Started#

This integration creates a workflow with a RSS trigger and GPTZero: Detect AI action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Item in Feed trigger
1. Connect your RSS account
2. Configure timer
3. Configure Feed URL
4. Configure Published After
Configure the Scan Text for AI Detection action
1. Connect your GPTZero: Detect AI account
2. Configure Document
3. Optional- Configure Multilingual
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Item in Feed on RSS

Description:Emit new items from an RSS feed

Version:1.2.7

Key:rss-new-item-in-feed

View on GitHub

RSS Overview#

The RSS app allows users to automatically fetch and parse updates from web feeds. This functionality is pivotal for staying abreast of content changes or updates from websites, blogs, and news outlets that offer RSS feeds. With Pipedream, you can harness the RSS API to trigger workflows that enable a broad range of automations, like content aggregation, monitoring for specific keywords, notifications, and data synchronization across platforms.

Trigger Code#

import { defineSource } from "@pipedream/types";
import rss from "../../app/rss.app.mjs";
import rssCommon from "../common/common.mjs";
export default defineSource({
    ...rssCommon,
    key: "rss-new-item-in-feed",
    name: "New Item in Feed",
    description: "Emit new items from an RSS feed",
    version: "1.2.7",
    type: "source",
    dedupe: "unique",
    props: {
        ...rssCommon.props,
        url: {
            propDefinition: [
                rss,
                "url",
            ],
        },
        publishedAfter: {
            type: "string",
            label: "Published After",
            description: "Emit items published after the specified date in ISO 8601 format .e.g `2022-12-07T12:57:10+07:00`",
            default: new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString(), // default to one day ago
        },
    },
    hooks: {
        async activate() {
            // Try to parse the feed one time to confirm we can fetch and parse.
            // The code will throw any errors to the user.
            await this.rss.fetchAndParseFeed(this.url);
        },
    },
    methods: {
        ...rssCommon.methods,
        generateMeta: function (item) {
            return {
                id: this.rss.itemKey(item),
                summary: item.title,
                ts: Date.now(),
            };
        },
    },
    async run() {
        const items = await this.rss.fetchAndParseFeed(this.url);
        for (const item of items.reverse()) {
            const publishedAfter = +new Date(this.publishedAfter);
            const ts = this.rss.itemTs(item);
            if (Number.isNaN(publishedAfter) || publishedAfter > ts) {
                continue;
            }
            const meta = this.generateMeta(item);
            this.$emit(item, meta);
        }
    },
});

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
RSS	`rss`	`app`	This component uses the RSS app.
	`timer`	`$.interface.timer`	How often you want to poll the feed for new items
Feed URL	`url`	`string`	Enter the URL for any public RSS feed
Published After	`publishedAfter`	`string`	Emit items published after the specified date in ISO 8601 format .e.g `2022-12-07T12:57:10+07:00`

Trigger Authentication#

The RSS API does not require authentication.

About RSS#

Real Simple Syndication

Action#

Scan Text for AI Detection on GPTZero: Detect AI

Description:This endpoint takes in a single text input and runs AI detection. The document will be truncated to 50,000 characters. [See the documentation](https://gptzero.stoplight.io/docs/gptzero-api/d2144a785776b-ai-detection-on-single-string)

Version:0.0.1

Key:gptzero_detect_ai-scan-text

View on GitHub

Action Code#

import gptzeroDetectAi from "../../gptzero_detect_ai.app.mjs";

export default {
  key: "gptzero_detect_ai-scan-text",
  name: "Scan Text for AI Detection",
  description: "This endpoint takes in a single text input and runs AI detection. The document will be truncated to 50,000 characters. [See the documentation](https://gptzero.stoplight.io/docs/gptzero-api/d2144a785776b-ai-detection-on-single-string)",
  version: "0.0.1",
  type: "action",
  props: {
    gptzeroDetectAi,
    document: {
      type: "string",
      label: "Document",
      description: "The text you want to analyze. The text will be truncated to 50,000 characters.",
    },
    multilingual: {
      type: "boolean",
      label: "Multilingual",
      description: "When this option is `true`, a special multilingual AI detection model will be used. Currently supported languages are French and Spanish.",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.gptzeroDetectAi.detectText({
      $,
      data: {
        document: this.document,
        multilingual: this.multilingual,
      },
    });

    $.export("$summary", "Successfully ran AI detection on the document.");
    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
GPTZero: Detect AI	`gptzeroDetectAi`	`app`	This component uses the GPTZero: Detect AI app.
Document	`document`	`string`	The text you want to analyze. The text will be truncated to 50,000 characters.
Multilingual	`multilingual`	`boolean`	When this option is `true`, a special multilingual AI detection model will be used. Currently supported languages are French and Spanish.

Action Authentication#

GPTZero: Detect AI uses API keys for authentication. When you connect your GPTZero: Detect AI account, Pipedream securely stores the keys so you can easily authenticate to GPTZero: Detect AI APIs in both code and no-code steps.