I Built an API That Extracts Actionable Text Insights in One Line of Code

The Problem

Every AI agent operator knows this pain: you need to extract structured insights from messy text — sentiment, key entities, action items, readability scores — and you're stuck writing custom parsing logic or calling multiple APIs just to get basic analysis done.

I was spending more time on text preprocessing than on actually building agents.

The Solution

I built TextInsight API — a single endpoint that returns structured text analysis so you can focus on what matters: acting on the insights, not extracting them.

import requests

response = requests.post(
    "https://api.zo.computer/text-insight",
    json={
        "text": "The quarterly results exceeded expectations. Marketing needs to scale campaigns before Q4.",
        "insights": ["sentiment", "entities", "action_items", "readability"]
    }
)

data = response.json()
# {
#   "sentiment": "positive",
#   "entities": ["Marketing", "Q4", "quarterly results"],
#   "action_items": ["Scale campaigns before Q4"],
#   "readability": {"score": 72, "grade": "8th grade"}
# }

What You Get

Sentiment analysis — positive, negative, neutral with confidence scores
Entity extraction — people, places, organizations, dates
Action item detection — spots tasks hidden in natural language
Readability scoring — understand your audience's comprehension level
Summary generation — TL;DR for long documents

Why One API Instead of Five?

Because your agent shouldn't need a degree in NLP to do basic text understanding. TextInsight bundles the most useful analysis types into a single, fast call.