# ZeroGPT.cc AI Detector, Readability & NLP Linguistic Analyzer (`dev00/gptzero-cc-ai-detector-checker`) Actor

All-in-one AI text detection (ChatGPT, Claude 3.5, Gemini, DeepSeek), 8 readability & grade-level scores (Flesch, Fog, ARI, SMOG), Part-of-Speech grammar metrics, and passive voice detection powered by ZeroGPT.cc.

- **URL**: https://apify.com/dev00/gptzero-cc-ai-detector-checker.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Categories:** AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% 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

## ZeroGPT AI Detector, Readability & NLP Linguistic Analyzer

An all-in-one AI detection, comprehensive readability scoring, and natural language processing (NLP) analyzer powered directly by **ZeroGPT.cc**.

Analyze any text for **AI generation (ChatGPT 4o, Claude 3.5, Gemini, LLaMA, DeepSeek)**, compute **8 industry-standard readability algorithms**, audit **part-of-speech grammatical syntax**, and detect **passive voice constructions**.

***

### 🚀 5 Powerful Feature Suites in One API

#### 1. 🤖 Deep AI Content Detection & Real vs. Fake Probabilities

- **`real_probability` & `fake_probability`**: Precise numerical confidence metrics measuring authentic human vs. AI-generated text.
- **`html_content`**: Interactive sentence-by-sentence HTML visualization highlighting suspected AI sentences with tooltips.

#### 2. 📚 8 Industry-Standard Readability & Grade-Level Indices

- **`readability`**: Overall Flesch Reading Ease score.
- **`flesch_kincaid_grade`**: US school grade level required to understand the text.
- **`gunning_fog`**: Gunning Fog Index evaluating text complexity.
- **`coleman_liau_index`**: Characters-per-word readability formula.
- **`automated_readability_index` (ARI)**: Automated readability metric.
- **`smog_index`**: Simple Measure of Gobbledygook (SMOG) for academic and medical texts.
- **`dale_chall_readability_score`**: Comprehension difficulty based on familiar vocabulary.
- **`linsear_write_formula`**: Technical and military readability score.
- **`readability_text`**: Sentence-by-sentence readability breakdown with interactive HTML styling.

#### 3. 🧠 Lexical Complexity & Vocabulary Statistics

- **`percentage_sat`**: Percentage of advanced SAT-level academic words.
- **`percentage_common`**: Proportion of common, high-frequency words.
- **`words_three_syllables`**: List of polysyllabic (3+ syllables) complex words.
- **`syllable_count`**, **`monosyllabcount`**, & **`polysyllabcount`**: Detailed syllable distributions.
- **`reading_time`**: Estimated reading time in minutes.
- **`sentence_length`**: Average word count per sentence.
- **`all_tokens`**, **`used_tokens`**, **`lexicon_count`**, **`sentence_count`**, **`char_count`**, **`letter_count`**.

#### 4. 📝 Syntactic Grammar & Part-of-Speech (POS) Breakdown

- **`nouns_count`** & **`proper_nouns_count`**
- **`verbs_count`**
- **`adjectives_count`**
- **`adverbs_count`**
- **`pronouns_count`**
- **`prepositions_count`**
- **`conjunctions_count`**
- **`determiners_count`**
- **`interjections_count`**
- **`qualifiers_count`**

#### 5. 🔍 Passive Voice Detection & Construction Audit

- **`passive_sentence_count`**: Exact count of sentences written in passive voice.
- **`passive_sentences`**: Structured HTML highlighting passive constructions for clear editing.

***

### 📥 Input Schema

| Field | Type | Description | Default | Required |
| :--- | :--- | :--- | :--- | :--- |
| `text` | String | The text document, essay, article, or code documentation to analyze. | `""` | **Yes** |

#### Example Input:

```json
{
  "text": "Dear Hiring Manager, I am writing to express my strong interest in the senior software engineer position. Over the past seven years, I have architected high-performance distributed systems with 99.99% uptime."
}
```

***

### 📤 Output Schema

```json
{
  "all_tokens": 38,
  "used_tokens": 38,
  "real_probability": 0.9844,
  "fake_probability": 0.0155,
  "readability": 53.71,
  "percentage_sat": 12.5,
  "percentage_common": 65.0,
  "sentence_length": 15.5,
  "reading_time": 1.95,
  "flesch_kincaid_grade": 13.9,
  "coleman_liau_index": 12.8,
  "automated_readability_index": 11.2,
  "dale_chall_readability_score": 9.4,
  "gunning_fog": 13.5,
  "smog_index": 0.0,
  "linsear_write_formula": 14.0,
  "syllable_count": 52,
  "monosyllabcount": 22,
  "polysyllabcount": 8,
  "words_three_syllables": ["Manager", "interest", "engineer", "architected"],
  "sentence_count": 2,
  "char_count": 218,
  "letter_count": 212,
  "lexicon_count": 31,
  "nouns_count": 10,
  "proper_nouns_count": 3,
  "verbs_count": 7,
  "adjectives_count": 4,
  "adverbs_count": 1,
  "conjunctions_count": 1,
  "determiners_count": 3,
  "prepositions_count": 4,
  "pronouns_count": 3,
  "passive_sentence_count": 0,
  "passive_sentences": "<div style='overflow-wrap: break-word;'></div>",
  "html_content": "<div class=\"highlightResult\">...</div>",
  "readability_text": "<div class=\"highlightResult\">...</div>"
}
```

# Actor input Schema

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

The raw text, article, essay, or document you want to check for AI involvement using GPTZero.

## Actor input object example

```json
{
  "text": "Artificial intelligence and machine learning models have fundamentally revolutionized natural language processing, automated coding, and analytical reasoning."
}
```

# Actor output Schema

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

Direct link to the dataset items containing AI scores, sentence forensics, and perplexity analysis

## `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": "Artificial intelligence and machine learning models have fundamentally revolutionized natural language processing, automated coding, and analytical reasoning."
};

// Run the Actor and wait for it to finish
const run = await client.actor("dev00/gptzero-cc-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": "Artificial intelligence and machine learning models have fundamentally revolutionized natural language processing, automated coding, and analytical reasoning." }

# Run the Actor and wait for it to finish
run = client.actor("dev00/gptzero-cc-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": "Artificial intelligence and machine learning models have fundamentally revolutionized natural language processing, automated coding, and analytical reasoning."
}' |
apify call dev00/gptzero-cc-ai-detector-checker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dev00/gptzero-cc-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/OwQYchC7XbWC7H6gj/builds/XTAMyiMmcEkk3BEIq/openapi.json