Traditional AI detectors charge high monthly recurring subscriptions ($19–$99/month), restrict scanning behind restrictive daily rate limits, and provide only a single coarse percentage score without actionable editorial context. The **ZeroGPT AI Content Detector & NLP Linguistic Forensics API** unites **5 major text intelligence engines** into a single, high-throughput REST API: 1. **🤖 Multi-Model AI Detection & Probabilities**: * Evaluates text against all leading foundation models: **OpenAI (ChatGPT, GPT-4o, o1/o3)**, **Anthropic (Claude 3.5 Sonnet/Opus)**, **Google (Gemini 1.5 Pro/Flash)**, **DeepSeek (R1 Reasoning, V3)**, **Meta (LLaMA 3.3)**, and AI paraphrasing tools (**QuillBot, Undetectable AI, StealthWriter**). * Generates exact `real_probability` (Human score 0.0–1.0) and `fake_probability` (AI score 0.0–1.0). * Produces rich interactive **`html_content`** with sentence-by-sentence tooltips and highlighted suspect phrases. 2. **📚 8 Industry-Standard Readability & Grade-Level Formulas**: * **Flesch Reading Ease (`readability`)**: Standard 0–100 scale measuring general audience accessibility. * **Flesch-Kincaid Grade Level (`flesch_kincaid_grade`)**: US school grade level required for full comprehension. * **Gunning Fog Index (`gunning_fog`)**: Complexity benchmark evaluating sentence length and polysyllabic terms. * **Coleman-Liau Index (`coleman_liau_index`)**: Character-per-word mechanical readability metric. * **Automated Readability Index (`automated_readability_index` / ARI)**: Rapid structural readability score. * **SMOG Index (`smog_index`)**: Simple Measure of Gobbledygook for healthcare, legal, and academic standards. * **Dale-Chall Readability Score (`dale_chall_readability_score`)**: Vocabulary difficulty index based on familiar words. * **Linsear Write Formula (`linsear_write_formula`)**: Technical and military readability grade benchmark. * **`readability_text`**: Formatted HTML snippet pinpointing sentences that cause reading friction. 3. **🧠 Lexical Complexity, Vocabulary & Token Analytics**: * **`percentage_sat`**: Exact ratio of high-level academic/SAT vocabulary. * **`percentage_common`**: Proportion of common, high-frequency foundational words. * **`words_three_syllables`**: Extracted list of complex polysyllabic (3+ syllables) vocabulary terms. * **`syllable_count`**, **`monosyllabcount`**, & **`polysyllabcount`**: Complete syllable distribution profile. * **`reading_time`**: Precise estimated reading duration 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**: * Complete syntactic counts: `nouns_count`, `proper_nouns_count`, `verbs_count`, `adjectives_count`, `adverbs_count`, `pronouns_count`, `prepositions_count`, `conjunctions_count`, `determiners_count`, `interjections_count`, and `qualifiers_count`. 5. **🔍 Passive Voice Detection & Construction Forensics**: * **`passive_sentence_count`**: Exact count of sentences formulated in the passive voice. * **`passive_sentences`**: Structured HTML snippet highlighting passive constructions for editorial streamlining. --- ## 💡 What Problems Does This API Solve? * **Eliminates High Multi-Subscription Costs**: Instead of paying separate subscriptions for an AI detector ($15/mo), a readability calculator ($10/mo), a grammar checker ($12/mo), and a lexical analyzer, get all 5 engines in one unified endpoint. * **Overcomes Rigid Rate Limits & Quotas**: Standard web tools block automated pipelines after 3 to 7 scans with `guest_user_quota_exceeded`. This API provides continuous, high-throughput capability with zero interruptions. * **Bypasses Opaque "Black Box" AI Scores**: Rather than returning a single arbitrary number, this API returns the underlying mathematical probabilities, lexical distributions, and interactive sentence-by-sentence HTML highlight visualizations. * **Streamlines Editorial & Content Moderation Pipelines**: Automatically verify freelance content quality, detect AI generation, ensure brand voice readability, and flag passive voice in a single sub-second API round-trip. --- ## 🎯 What People Use It For 1. **🎓 EdTech Platforms & Academic Submissions**: * Verify essays and research papers for AI generation while verifying appropriate grade-level readability (`flesch_kincaid_grade`, `smog_index`). 2. **✍️ Content Marketing, SEO Agencies & Copywriting**: * Audit articles before publication to avoid search engine AI penalties and ensure optimal reading ease (`readability` > 60). 3. **💼 HR Recruitment & Applicant Tracking Systems (ATS)**: * Filter job application cover letters, personal statements, and candidate responses for AI generation. 4. **🏥 Healthcare & Patient Communication Compliance**: * Verify that patient information sheets, medical instructions, and consent forms meet legal plain-language requirements (SMOG index < 8.0). 5. **⚖️ Legal Contracts & Corporate Policy Review**: * Scan corporate documentation, Terms of Service, and compliance guidelines for excessive passive voice and readability friction. 6. **💻 Technical Writing & Developer Documentation**: * Measure reading times and token counts for API documentation, developer portals, and technical whitepapers. --- ## 📊 Institutional Comparison: ZeroGPT vs. Commercial Competitors | Feature | Turnitin AI ($$$ Enterprise) | GPTZero Pro ($15/mo) | Winston AI ($19/mo) | ⚡ ZeroGPT API (ZeroGPT.cc) | | :--- | :---: | :---: | :---: | :---: | | **Pricing per 1k Checks** | 💸 Annual Contract Only | 💸 $15.00 / 1k checks | 💸 $19.00 / 1k checks | ⚡ **$1.49 – $3.99 / 1k checks** | | **Multi-Model AI Detection** | ⚠️ GPT-3/4 only | ⚠️ Fixed models | ⚠️ Credit per word | ✅ **GPT-4o, Claude 3.5, Gemini, DeepSeek, LLaMA 3** | | **8 Readability Formulas** | ❌ None | ❌ None | ❌ Basic Flesch only | ✅ **Flesch, Fog, ARI, SMOG, Coleman, Dale-Chall...** | | **Lexical SAT Word Analysis** | ❌ None | ❌ None | ❌ None | ✅ **SAT %, 3+ Syllable Word Lists, Syllable Counts** | | **Full POS Grammar Counts** | ❌ None | ❌ None | ❌ None | ✅ **Nouns, Verbs, Adjectives, Adverbs, Prepositions...** | | **Passive Voice Detection** | ❌ None | ❌ None | ❌ None | ✅ **Passive Sentence Counter & HTML Locator** | | **Sentence-Level AI Highlights** | ❌ Broad Highlights | ⚠️ Simple Highlights | ⚠️ Simple Highlights | ✅ **Interactive HTML Tooltips & Sentence Scores** | | **Zero Authentication Setup** | ❌ Complex OAuth | ❌ Account Required | ❌ Account Required | ✅ **1-Click RapidAPI Integration** | | **Average Edge Latency** | ~3,200ms | ~2,500ms | ~1,800ms | ⚡ **Sub-600ms High-Throughput Execution** | --- ## 🔍 Queries This API Answers * *How do I detect whether text was generated by ChatGPT (GPT-4o), Claude 3.5, Gemini, or DeepSeek via REST API?* * *How do I compute the Flesch-Kincaid Grade Level, Gunning Fog Index, and SMOG score in a single API call?* * *How do I programmatically identify passive voice sentences in an article or essay?* * *What is the percentage of advanced SAT vocabulary and complex polysyllabic words in my document?* * *How do I extract a complete part-of-speech grammatical breakdown (nouns, verbs, adjectives, qualifiers) using Python or Node.js?* * *How do I generate an interactive HTML highlight view showing which specific sentences were flagged as AI?* --- ## ⚡ API Endpoints & Usage - **Production Base URL**: `https://zerogpt-ai-detector-api.p.rapidapi.com` - **RapidAPI Headers**: * `X-RapidAPI-Key: YOUR_RAPIDAPI_KEY` * `X-RapidAPI-Host: zerogpt-ai-detector-api.p.rapidapi.com` * `Content-Type: application/json` --- ## 📥 Dedicated Code Examples ### 1. Python (3.x - `requests`) ```python import requests url = "https://zerogpt-ai-detector-api.p.rapidapi.com/detect" payload = { "text": "Dear Hiring Manager, I am writing to express my strong interest in the senior backend software engineer role. Over the past seven years, I have architected high-performance distributed microservices supporting over 500,000 transactions daily with 99.99% uptime." } headers = { "Content-Type": "application/json", "X-RapidAPI-Key": "YOUR_RAPIDAPI_KEY", "X-RapidAPI-Host": "zerogpt-ai-detector-api.p.rapidapi.com" } response = requests.post(url, json=payload, headers=headers) data = response.json() print(f"Human Probability: {data['real_probability'] * 100:.2f}%") print(f"AI Probability: {data['fake_probability'] * 100:.2f}%") print(f"Flesch Reading Ease: {data['readability']}") print(f"Flesch-Kincaid Grade: {data['flesch_kincaid_grade']}") print(f"Gunning Fog Index: {data['gunning_fog']}") print(f"SAT Vocabulary Ratio: {data['percentage_sat']}%") print(f"Estimated Reading Time: {data['reading_time']} min") print(f"Total Sentences: {data['sentence_count']}") print(f"Passive Sentences: {data['passive_sentence_count']}") print(f"Complex Words (3+ syl): {', '.join(data['words_three_syllables'])}") ``` ### 2. JavaScript / Node.js (`fetch`) ```javascript const response = await fetch("https://zerogpt-ai-detector-api.p.rapidapi.com/detect", { method: "POST", headers: { "Content-Type": "application/json", "X-RapidAPI-Key": "YOUR_RAPIDAPI_KEY", "X-RapidAPI-Host": "zerogpt-ai-detector-api.p.rapidapi.com" }, body: JSON.stringify({ text: "Dear Hiring Manager, I am writing to express my strong interest in the senior backend software engineer role. Over the past seven years, I have architected high-performance distributed microservices." }) }); const result = await response.json(); console.log("Human Prob:", (result.real_probability * 100).toFixed(2) + "%"); console.log("AI Prob:", (result.fake_probability * 100).toFixed(2) + "%"); console.log("Readability Score:", result.readability); console.log("Grade Level:", result.flesch_kincaid_grade); console.log("Noun Count:", result.nouns_count); console.log("Verb Count:", result.verbs_count); ``` ### 3. cURL (Command Line) ```bash curl -X POST "https://zerogpt-ai-detector-api.p.rapidapi.com/detect" \ -H "Content-Type: application/json" \ -H "X-RapidAPI-Key: YOUR_RAPIDAPI_KEY" \ -H "X-RapidAPI-Host: zerogpt-ai-detector-api.p.rapidapi.com" \ -d '{ "text": "Dear Hiring Manager, I am writing to express my strong interest in the senior backend software engineer role at your company. Over the past seven years I have spent building and maintaining scalable backend systems." }' ``` --- ## 📤 Sample Complete JSON Response (`200 OK`) ```json { "all_tokens": 38, "used_tokens": 38, "real_probability": 0.984464704990387, "fake_probability": 0.015535333193838596, "readability": 53.71, "percentage_sat": 12.5, "percentage_common": 65.0, "sentence_length": 15.5, "reading_time": 1.95, "smog_index": 0.0, "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, "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, "interjections_count": 0, "prepositions_count": 4, "pronouns_count": 3, "qualifiers_count": 0, "passive_sentence_count": 0, "passive_sentences": "

", "html_content": "

In-Depth sentence-by-sentence Analysis

Dear Hiring Manager, I am writing to express my strong interest in the senior backend engineer position.

", "readability_text": "

In-Depth sentence-by-sentence Readability

Dear Hiring Manager, I am writing to express my strong interest in the senior backend engineer position.

" } ``` --- ## ⚠️ Error Handling & Response Codes | HTTP Status | Error Reason | Example JSON Response | | :--- | :--- | :--- | | **`400 Bad Request`** | Missing or empty `text` parameter | `{"error": "Missing required parameter: 'text' cannot be empty."}` | | **`500 Internal Error`** | Upstream communication error | `{"error": "ZeroGPT.cc returned HTTP status 503"}` | --- ## 🏷️ Search Keywords & Discovery Tags `zerogpt api`, `zerogpt.cc api`, `ai detector api`, `chatgpt detector api`, `gpt-4o detector`, `gpt-5 detector`, `claude 3.5 detector`, `gemini ai detector`, `deepseek detector`, `deepseek-r1 ai checker`, `llama 3.3 detector`, `quillbot detector`, `readability api`, `flesch kincaid grade level api`, `gunning fog index api`, `automated readability index`, `smog index api`, `coleman liau index`, `dale chall readability`, `linsear write formula`, `passive voice detector api`, `part of speech tagger api`, `pos grammar analyzer`, `sat vocabulary analyzer`, `reading time calculator`, `text forensics api`, `turnitin alternative`, `gptzero alternative`, `copyleaks alternative`, `winston ai alternative`, `originality ai alternative`, `content quality audit api`.