Most text analysis solutions fall into one of two problems: Too expensive — OpenAI API costs money for every call Too complex — Hosting your own Hugging Face model requires infra, GPU, maintenance I built TextAI Pro — a lightweight REST API that does the job without the overhead. What it does Two endpoints: POST /analyze Sentiment: positive / negative / neutral Confidence score (0–1) Top keywords Word count POST /summarize Auto-summary of any text Returns original length vs summary length Quick start Python import requests url = " https://textai-pro.p.rapidapi.com/analyze " headers = { " X-RapidAPI-Key " : " YOUR_KEY " , " Content-Type " : " application/json " } payload = { " text " : " This product is absolutely amazing, I love it! " } r = requests . post ( url , json = payload , headers = headers ) print ( r .…