# Pangram.ai AI Detector: Syntactic Entropy & Language Audit (`dev00/pangram-ai-detector`) Actor

Pangram.ai detector API for deep syntactic entropy text analysis, sentence scores, and linguistic forensics.

- **URL**: https://apify.com/dev00/pangram-ai-detector.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.00 / 1,000 operational query events

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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

## Pangram.ai AI Detector: Syntactic Entropy & Language Audit

[![Rating](https://img.shields.io/badge/Rating-★★★★★-yellow)](#)
[![Speed](https://img.shields.io/badge/Speed-~250ms%20Ultra--Fast-brightgreen)](#)
[![Model](https://img.shields.io/badge/Model-Pay--Per--Event%20\(PPE\)-blue)](#)
[![Status](https://img.shields.io/badge/Status-100%25%20Operational-brightgreen)](#)

### Overview & Core Capabilities

This Apify Actor provides high-speed cloud intelligence and programmatic access to the authoritative **Pangram.ai** (pangram.ai) AI detection engine. Designed for developers, automated workflows, web scrapers, and research teams, this Actor processes text inputs at scale and returns structured AI probability scores, sentence classifications, and complete raw engine structures directly to your Apify dataset and key-value store.

> 💡 **Looking for all 24 AI detection engines in one place?** If you want multi-model consensus across all 24 leading engines (including Pangram.ai, GPTZero, ZeroGPT, QuillBot, CopyLeaks, and Winston.ai), you can find it here at [HumanizerX](https://humanizerx.org/).

***

### Apify Pay-Per-Event (PPE) Pricing

This Actor utilizes transparent Pay-Per-Event (PPE) monetization:

- **Free Users:** **$0.10** per run.
- **Paid Apify Members:** **$0.006** per query ($6.00 / 1,000 queries).
- **Platform Usage:** Billed directly to your Apify compute allocation (`isPPEPlatformUsagePaidByUser: true`). No hidden surcharges.

***

### Competitor Comparison Table

| Metric | Pangram.ai Actor | Direct Enterprise Contract | Generic Web Scraper | HumanizerX (24-in-1) |
| :--- | :--- | :--- | :--- | :--- |
| **Model Quality** | **Official Pangram.ai Engine** | Official Engine | Unstable Browser HTML | **24+ Unified Engines** |
| **Cost Model** | **$0.006 / query (PPE)** | $2,000+ Annual Minimum | High Compute / Proxies | **$0.01 / query** |
| **Setup Time** | **Instant (Zero API Keys)** | Weeks of Legal Review | Constant Maintenance | **Instant** |
| **Execution Latency** | **~250ms – 400ms** | 1,000ms – 3,000ms | 10,000ms+ (Browser) | **~250ms – 400ms** |
| **Dataset Storage** | **Built-in Apify Dataset** | Manual S3 / SQL Pipeline | Manual | **Built-in / REST API** |
| **Export Formats** | **JSON, CSV, Excel, XML** | Custom Script Required | Custom | **JSON, CSV** |

***

### Integration & Code Examples

#### 1. Apify Client (Node.js)

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN'
});

const input = {
    text: "Artificial intelligence models analyze vast linguistic datasets to generate coherent, fluent synthetic text."
};

const run = await client.actor('dev00/pangram-ai-detector').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### 2. Apify Client (Python)

```python
from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

run_input = {
    "text": "Artificial intelligence models analyze vast linguistic datasets to generate coherent, fluent synthetic text."
}

run = client.actor('dev00/pangram-ai-detector').call(run_input=run_input)
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print("Engine:", item.get("name"))
    print("AI Score:", item.get("score"), "%")
    print("Verdict:", item.get("verdict"))
```

#### 3. Apify REST API (cURL)

```bash
curl --request POST \
  --url "https://api.apify.com/v2/acts/dev00~pangram-ai-detector/runs?token=YOUR_APIFY_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
    "text": "Artificial intelligence models analyze vast linguistic datasets to generate coherent, fluent synthetic text."
  }'
```

***

### Structured Output & Datasets

Each run automatically writes to both the default **Dataset** and the **Key-Value Store (`OUTPUT`)**:

#### Sample JSON Output (Full Engine Structure)

```json
{
  "success": true,
  "provider": "HumanizerX",
  "name": "Pangram.ai",
  "score": 92.5,
  "verdict": "AI",
  "readability": {
    "flesch_reading_ease": 38.2,
    "flesch_kincaid_grade": 12.4,
    "gunning_fog": 14.2,
    "reading_level": "Difficult"
  },
  "sentences": [
    {
      "sentence": "Artificial intelligence models analyze vast linguistic datasets to generate coherent, fluent synthetic text.",
      "score": 92.5,
      "verdict": "AI"
    }
  ],
  "raw_response": {
    "engine": "pangram.ai",
    "score": 92.5,
    "verdict": "AI",
    "status": "success"
  }
}
```

***

### 4 Pre-Configured Tasks Included

1. **Student Essay & Thesis Audit:** Scans student submissions and long-form essays for synthetic phrasing.
2. **SEO Article & Blog Post Scan:** Analyzes marketing copy and outsourced content to avoid search engine deindexing.
3. **Admissions & Editorial Statement Check:** Screens admissions statements and academic journal submissions.
4. **AI Agent & Dialogue Output Verification:** Validates LangChain and automated AI agent outputs before delivery.

***

### Frequently Asked Questions (FAQ)

#### 1. What is the unit cost of this Actor?

Free users pay $0.10 per run. Paid Apify subscribers pay $0.006 per query ($6.00 / 1,000 queries) through Apify's Pay-Per-Event billing.

#### 2. How can I export my results?

Apify automatically saves every run into your storage. You can export results immediately in JSON, CSV, Excel, XML, or HTML table format directly from the Apify Console.

#### 3. Can I run this Actor in batch or on a schedule?

Yes! Use Apify Schedules to trigger cron runs, or use the Apify API / Python SDK to run batch jobs across thousands of documents concurrently.

#### 4. Can I get all 24 AI detectors in a single API call?

Yes! The all-in-one HumanizerX multi-engine platform provides simultaneous consensus voting across Pangram.ai and 23 other leading detectors.

***

### Keywords & Search Tags

`pangram-ai-detector`, `pangram ai detector`, `pangram detector`, `pangram.ai apify`, `pangram.ai actor`, `apify actor`, `ai detector`, `chatgpt detector`, `gpt-4o detector`, `claude detector`, `ai content checker`, `plagiarism detector`, `humanizerx`

# Actor input Schema

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

The essay, article, or text you want to scan with Pangram.ai (pangram.ai).

## Actor input object example

```json
{
  "text": "Artificial intelligence models analyze vast linguistic datasets to generate coherent, fluent synthetic text."
}
```

# Actor output Schema

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

No description

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

// Prepare Actor input
const input = {
    "text": "Artificial intelligence models analyze vast linguistic datasets to generate coherent, fluent synthetic text."
};

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

# Prepare the Actor input
run_input = { "text": "Artificial intelligence models analyze vast linguistic datasets to generate coherent, fluent synthetic text." }

# Run the Actor and wait for it to finish
run = client.actor("dev00/pangram-ai-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 '{
  "text": "Artificial intelligence models analyze vast linguistic datasets to generate coherent, fluent synthetic text."
}' |
apify call dev00/pangram-ai-detector --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dev00/pangram-ai-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 <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/5If0sySGKHhr1hWH7/builds/5RQ6wnO2GsFGDh32H/openapi.json