I Built an AI Agent That Handles Every Customer Text Analysis Request Automatically

If you're running AI agents in production, you've hit this wall: customers want custom text analysis, but building a new endpoint for each request burns through dev time.

I solved this by building a single API that handles unlimited text analysis scenarios.

The Problem

Every customer has different text analysis needs:

Sentiment analysis for support tickets
Entity extraction for resumes
Content classification for moderation
Custom scoring for legal documents

Building separate endpoints for each? That's not scalable.

The Solution

A flexible TextInsight API that accepts any text + analysis type, then returns structured results.

import requests

response = requests.post(
    "https://api.example.com/analyze",
    json={
        "text": "Your text here",
        "analysis_type": "sentiment",
        "options": {"threshold": 0.7}
    }
)
result = response.json()
# {"score": 0.92, "label": "positive", "confidence": 0.98}

Key Features

Multiple analysis types: sentiment, entities, classification, custom scoring
Configurable thresholds: adjust sensitivity per use case
Batch processing: analyze thousands of texts in parallel
Structured JSON responses: easy integration with any pipeline