# Detector.io & Winston AI Content Detector - $6/1k checks (`dev00/detector-io-ai-detector-checker`) Actor

✅ High-accuracy dual AI content detection powered by Detector.io & Winston AI ($6.00/1k checks). ✅ Sentence-by-sentence breakdown, exact AI scores for ChatGPT (GPT-4o/5), Claude 3.5, Gemini & DeepSeek.

- **URL**: https://apify.com/dev00/detector-io-ai-detector-checker.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Categories:** AI, Agents, Developer tools
- **Stats:** 1 total users, 1 monthly users, 99.8% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$6.00 / 1,000 ai detection checks

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Detector.io & Winston AI Content Detector & ChatGPT Checker - Apify Actor

High-accuracy dual neural AI content detection & LLM authorship checker powered by **Detector.io** and **Winston AI** classification engines. Accurately analyzes text with sentence-by-sentence granularity to verify human vs AI authorship across ChatGPT (GPT-4o, GPT-5, o1/o3), Claude 3.5 Sonnet, Google Gemini, DeepSeek-R1, Llama 3, and AI paraphrasers with exact percentage scores, detailed provider breakdowns, and sentence highlights.

***

### 💰 Pricing & Billing Model

- **Price**: **$6.00 per 1,000 checks** (`$0.006` per analyzed text check).
- **Billing Type**: Pay-per-usage / Pay-per-result — you only pay for successful detection scans.
- **No Hidden Compute Overhead**: Fast execution with ultra-low memory footprints.

***

### 🚀 Key Features

- **Dual AI Detection Engines**: Combines deep neural analysis from **Detector.io** and **Winston AI** for maximum classification precision and redundancy.
- **Sentence-by-Sentence Breakdown**: Returns exact sentence highlights (`startIndex`, `endIndex`, `score`, `label`) showing exactly which sentences are flagged as AI or human.
- **Overall AI Score & Verdict**: Delivers an aggregated `overallScore` (0–100%) and clear categorical `verdict` (`ai`, `human`, `mixed`).
- **Multi-Model LLM Classification**: Accurately classifies text generated across all major foundation models including OpenAI (GPT-4o/mini, GPT-5, o1), Anthropic (Claude 3.5 Sonnet), DeepSeek-R1, Google Gemini, and Meta Llama 3.
- **Short-Text Auto-Adaptation**: Automatically adapts single sentences and short paragraphs so your scans never fail due to word count constraints or minimum character limits.
- **Flattened Dataset & Key-Value Output**: Automatically saves the full JSON payload to Key-Value Store (`OUTPUT`) and outputs structured data rows to the default dataset.

***

### ⚡ Multi-Model AI Classification Coverage

This Actor inspects submissions against all major artificial intelligence models:

#### 1. OpenAI Foundation Models

- **Supported**: ChatGPT, GPT-4o, GPT-4o-mini, GPT-4 Turbo, GPT-5, OpenAI o1, OpenAI o3, and legacy GPT-3.5.
- **Output Forensics**: Identifies characteristic GPT structural pacing and robotic transitions.

#### 2. Anthropic Claude Models

- **Supported**: Claude 3.5 Sonnet, Claude 3.5 Haiku, Claude 3 Opus, and Claude 4.
- **Output Forensics**: Detects Claude-style nuanced hedges and corporate prose rhythm.

#### 3. DeepSeek Reasoning Models

- **Supported**: DeepSeek-R1, DeepSeek-V3, and DeepSeek Coder.
- **Output Forensics**: Flags algorithmic step-by-step reasoning structures.

#### 4. Google Gemini & Meta Llama

- **Supported**: Gemini 1.5 Pro/Flash, Llama 3 (8B, 70B, 405B), Llama 3.1, and Llama 3.3.

***

### 🎯 Use Cases

- **Academic Integrity & Higher Education**: Screen student admissions essays, research papers, literature reviews, and assignments for generative AI contributions.
- **SEO Content Auditing & Publishing**: Audit freelance copywriters, blog posts, affiliate reviews, and news articles to maintain domain authority and avoid low-effort spam penalties.
- **Recruitment & Talent Screening**: Verify candidate cover letters, take-home writing assignments, and technical interview responses.
- **Marketplace & Forum Moderation**: Screen user-generated content, fake reviews, and automated bot discussions.

***

### 📥 Input JSON Examples

#### Standard Text Check

```json
{
  "text": "In today's fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology. Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence."
}
```

***

### 📤 Dataset Output Format

```json
{
  "success": true,
  "text": "In today's fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology. Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence.",
  "overallScore": 100,
  "verdict": "ai",
  "providers": [
    {
      "name": "Home Provider",
      "score": 100,
      "aiScore": 100,
      "mixedScore": 0,
      "humanScore": 0,
      "sentenceHighlights": [
        {
          "text": "In today's fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology.",
          "startIndex": 0,
          "endIndex": 158,
          "score": 100,
          "label": "ai"
        },
        {
          "text": "Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence.",
          "startIndex": 100,
          "endIndex": 275,
          "score": 100,
          "label": "ai"
        }
      ],
      "hasReasoning": false
    },
    {
      "name": "Winston AI",
      "score": 100,
      "aiScore": 100,
      "mixedScore": 0,
      "humanScore": 0,
      "sentenceHighlights": [
        {
          "text": "In today's fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology.",
          "startIndex": 0,
          "endIndex": 158,
          "score": 100,
          "label": "ai"
        },
        {
          "text": "Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence.",
          "startIndex": 159,
          "endIndex": 334,
          "score": 100,
          "label": "ai"
        }
      ],
      "hasReasoning": false
    }
  ],
  "sentences": [
    {
      "text": "In today's fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology.",
      "isFirstInParagraph": false,
      "formatting": null
    },
    {
      "text": "Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence.",
      "isFirstInParagraph": false,
      "formatting": null
    }
  ],
  "chunking": {
    "chunked": false,
    "chunksCount": 1,
    "providerCallsCount": 2,
    "failedChunksPerProvider": {},
    "totalWords": 43
  },
  "wordInfo": {
    "processedWords": 43,
    "totalWords": 43,
    "truncated": false,
    "limit": 1000
  },
  "scanned_at": "2026-09-02T09:15:00.000Z"
}
```

***

### ⚠️ Failure Context & Error Handling

If the `text` parameter is omitted or empty:

```json
{
  "success": false,
  "error": "Missing required parameter: 'text' cannot be empty."
}
```

***

### 🏷️ Keywords

`winston ai`, `winston ai detector`, `detector.io`, `detector io ai detector`, `chatgpt detector`, `ai content detector`, `claude ai detector`, `gemini detector`, `deepseek detector`, `plagiarism checker`, `ai text checker`, `turnitin alternative`, `gptzero alternative`, `apify actor`.

# Actor input Schema

## `text` (type: `string`):

The text content, article, essay, or paragraph you want to check for AI vs Human authorship.

## Actor input object example

```json
{
  "text": "In today's fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology. Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence."
}
```

# Actor output Schema

## `results` (type: `string`):

Direct link to dataset items containing multi-provider scores (Detector.io & Winston AI), verdicts, and sentence highlights

## `keyValueStoreResult` (type: `string`):

Direct link to the key-value store output record

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "text": "In today's fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology. Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence."
};

// Run the Actor and wait for it to finish
const run = await client.actor("dev00/detector-io-ai-detector-checker").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "text": "In today's fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology. Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence." }

# Run the Actor and wait for it to finish
run = client.actor("dev00/detector-io-ai-detector-checker").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 '{
  "text": "In today'\''s fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology. Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence."
}' |
apify call dev00/detector-io-ai-detector-checker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dev00/detector-io-ai-detector-checker"
        }
    }
}

```

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 <APIFY_API_TOKEN>` 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/YUimyvFJoRLHstjkC/builds/EF5jgNzBdXkM58Cz3/openapi.json