🧠 TyphAI NLP Suite - AI Toolkit API Documentation
📌 Introduction
TyphAI NLP Suite is a powerful AI-driven API platform designed for developers and businesses looking to integrate advanced artificial intelligence capabilities into their applications. It provides a suite of AI-powered services specifically tailored for natural language processing tasks.
Built with a cloud-native architecture, TyphAI NLP Suite offers high scalability, low-latency responses, and secure integrations, making it an ideal solution for modern applications that require intelligent automation.
🔥 Key Features
✅ Sentiment Analysis API – Analyze customer feedback, reviews, and social media sentiment with high accuracy.
✅ Text Classification API – Automatically categorize text for content moderation, spam detection, and more.
✅ Named Entity Recognition API – Identify and extract entities such as names, dates, locations, and organizations from text. ✅ Keyword & Keyphrase Extraction API – Identify essential keywords and phrases for SEO and content summarization.
✅ Text Summarization API – Generate concise summaries from long-form text.
🚀 Why Choose TyphAI NLP Suite?
- Scalable & Reliable – Designed for enterprise-scale applications with efficient cloud-native deployment.
- Easy Integration – RESTful API with JSON-based responses ensures smooth integration with any tech stack.
- High Performance – Optimized for low-latency processing and high throughput.
- Secure & Compliant – Authentication with API keys, JWT, or OAuth for secure access.
📚 Use Cases
✔ E-commerce & Customer Insights – Analyze reviews, detect fake feedback, and improve user experience. ✔ Finance & Risk Analysis – Monitor financial sentiment and market trends for better decision-making. ✔ Healthcare & Chatbots – Automate patient engagement and support systems. ✔ Content Moderation & Social Media Analysis – Detect offensive content and analyze user behavior. ✔ Business Automation – Automate document processing, classification, and workflow optimization.
🎯 Getting Started
Follow these steps to integrate TyphAI NLP Suite into your application via RapidAPI:
1️⃣ Sign Up on RapidAPI
- Visit TyphAI NLP Suite on RapidAPI .
- Click on “Subscribe” and choose a plan that fits your needs.
- Retrieve your RapidAPI Key from your account dashboard.
2️⃣ Review API Documentation
- Explore the API reference available on RapidAPI to understand endpoints and their usage.
- Check rate limits, request formats, and response structures.
- Visit the API Documentation for detailed information.
3️⃣ Make Your First API Call
- Use cURL, Postman, Axios, or a programming language to send a request.
Using cURL
curl -X POST "https://typhai-nlp-suite.p.rapidapi.com/api/v1/sentiment-analyses" \
-H "Content-Type: application/json" \
-H "X-RapidAPI-Host: typhai-nlp-suite.p.rapidapi.com" \
-H "X-RapidAPI-Key: YOUR_RAPIDAPI_KEY" \
-d '{"text": "This product is amazing!"}'
Using Axios (JavaScript)
import axios from "axios";
const options = {
method: "POST",
url: "https://typhai-nlp-suite.p.rapidapi.com/api/v1/sentiment-analyses",
headers: {
"Content-Type": "application/json",
"X-RapidAPI-Host": "typhai-nlp-suite.p.rapidapi.com",
"X-RapidAPI-Key": "YOUR_RAPIDAPI_KEY",
},
data: { text: "This product is amazing!" },
};
axios
.request(options)
.then((response) => console.log(response.data))
.catch((error) => console.error(error));
🎮 Try It Yourself
const TestAPIRequest = () => {
const [text, setText] = useState("");
const [response, setResponse] = useState(null);
const [loading, setLoading] = useState(false);
const handleTestRequest = async () => {
setLoading(true);
try {
const res = await axios.post(
"https://typhai-nlp-suite.p.rapidapi.com/api/v1/sentiment-analyses",
{ text },
{
headers: {
"Content-Type": "application/json",
"X-RapidAPI-Host": "typhai-nlp-suite.p.rapidapi.com",
"X-RapidAPI-Key": "YOUR_RAPIDAPI_KEY",
},
}
);
setResponse(res.data);
} catch (error) {
setResponse(error.message);
}
setLoading(false);
};
return (
<div>
<h3>Test API Request</h3>
<input
type="text"
placeholder="Enter text"
value={text}
onChange={(e) => setText(e.target.value)}
/>
<button onClick={handleTestRequest} disabled={loading}>
{loading ? "Loading..." : "Send Request"}
</button>
{response && <pre>{JSON.stringify(response, null, 2)}</pre>}
</div>
);
};
<TestAPIRequest />;
For detailed API documentation, check the full reference guide here .
📩 Need Help? Check our FAQ .
🚀 Start integrating AI today with TyphAI NLP Suite on RapidAPI!