Text Classify API

Classify text into any categories you define using Claude AI via REST API. Unlike pre-trained classifiers locked to fixed categories (spam/not-spam, positive/negative), this API works with any categories you specify — making it useful for routing, tagging, and organizing any type of content.

How it works

POST your text and an array of category names. The API uses Claude to classify the text into the best matching category, returning the category name, a confidence score (0–1), and a brief explanation of why it was classified that way.

Use cases

• Route support tickets to the right team (billing/technical/account)
• Tag blog posts or articles with content categories automatically
• Classify customer feedback by product area or feature request type
• Sort job applications into role-fit categories for initial screening
• Categorize transactions by type in financial data processing

API Reference

POST https://slopshop.gg/v1/llm-classify
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

Input parameters

Example response

{
  "data": {
    "result": "AI-generated result based on your input.",
    "model": "claude-3-5-sonnet",
    "tokens_used": 150
  },
  "meta": {
    "credits_used": 10,
    "engine": "real",
    "ms": 4
  }
}

Examples

Three real-world scenarios showing how developers use Text Classify in production.

curl -X POST https://slopshop.gg/v1/llm-classify \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "I was charged twice for my subscription this month.", "categories": ["billing", "technical", "account", "shipping"]}'

curl -X POST https://slopshop.gg/v1/llm-classify \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "New research shows intermittent fasting may reduce inflammation markers...", "categories": ["health", "technology", "finance", "travel", "science"]}'

curl -X POST https://slopshop.gg/v1/llm-classify \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "5 years Python, 3 years ML, published papers in NeurIPS...", "categories": ["senior_engineer", "mid_level", "junior", "not_a_fit"]}'

Code examples

curl

curl -X POST https://slopshop.gg/v1/llm-classify \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input": "your data here"}'

Python

import requests

response = requests.post(
    "https://slopshop.gg/v1/llm-classify",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={"input": "your data here"}
)
result = response.json()
print(result["data"])

Node.js

const response = await fetch("https://slopshop.gg/v1/llm-classify", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({ input: "your data here" })
});
const { data } = await response.json();
console.log(data);

CLI

# Install the Slopshop CLI
npm install -g slopshop

# Set your API key
export SLOPSHOP_KEY=your_api_key

# Call llm-classify
slop llm-classify '{"input": "your data here"}'

Pricing

Credits are purchased in bundles starting at $1 for 1,000 credits. All compute APIs like this one use 10 credits per call — that's $0.01. See all pricing tiers.

Related APIs in AI: Analysis

• Summarize API — Summarize any text. Configurable length and format.
• Thread Summary API — Summarize email/chat thread with decisions + action items.
• Sentiment Analysis API — Analyze sentiment with aspect-level detail and confidence.
• Entity Extraction API — Extract people, orgs, dates, amounts, locations from text.
• Action Items API — Extract action items with owners and deadlines from text.

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