# AI Content Detector & API (`johandev_04/ai-content-detector`) Actor Detect if text is Human or AI-generated. Enterprise-grade statistical analysis with pay-per-event pricing. - **URL**: https://apify.com/johandev_04/ai-content-detector.md - **Developed by:** [Johan Ortiz](https://apify.com/johandev_04) (community) - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $70.00 / 1,000 text analyzeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README

AI Content Detector & API

Detect if a text is Human or AI-generated. Built for enterprise pipelines that need to validate content at scale without relying on expensive external APIs.

🛡️ Why choose this Actor? (100% Local Processing)

Unlike other detectors that crash when APIs hit rate limits, this Actor uses local statistical analysis:

🚀 Features

📖 How to use

  1. Go to the Input tab.
  2. Paste your texts into the JSON array.
  3. Click Start.
  4. Download the results from the Storage tab.

📊 Output Data

{
  "text_preview": "Furthermore, it is imperative...",
  "label": "AI_GENERATED",
  "confidence": 0.98,
  "ai_score": 0.98,
  "human_score": 0.02
}
# Actor input Schema ## `texts` (type: `array`): List of texts you want to check if they are AI-generated. ## `maxItems` (type: `integer`): Maximum number of texts to process. ## Actor input object example ```json { "texts": [ "This is a sample human text.", "Furthermore, it is imperative to utilize multifaceted approaches." ], "maxItems": 50 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "texts": [ "This is a sample human text.", "Furthermore, it is imperative to utilize multifaceted approaches." ] }; // Run the Actor and wait for it to finish const run = await client.actor("johandev_04/ai-content-detector").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "texts": [ "This is a sample human text.", "Furthermore, it is imperative to utilize multifaceted approaches.", ] } # Run the Actor and wait for it to finish run = client.actor("johandev_04/ai-content-detector").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "texts": [ "This is a sample human text.", "Furthermore, it is imperative to utilize multifaceted approaches." ] }' | apify call johandev_04/ai-content-detector --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,johandev_04/ai-content-detector" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/YNpBdcYWtSbvcNYD4/builds/RHeBuD3O3I3n9YKmW/openapi.json