Sentiment Analysis API
Perform deep sentiment analysis on any text using Claude-powered AI. Unlike simple positive/negative classifiers, this API provides aspect-level sentiment — detecting which specific topics or features are positive or negative in a review or feedback item.
Try it live →How it works
POST your text. The API returns an overall sentiment (positive/negative/neutral/mixed) with a confidence score, a list of detected sentiment aspects with their individual scores, and key phrases that drove the sentiment classification.
Use cases
- Analyze product reviews to find which features customers love or hate
- Monitor social media mentions for brand sentiment tracking
- Triage customer support tickets by emotional urgency
- Analyze employee survey responses for HR insights
- Build real-time sentiment dashboards for customer feedback streams
API Reference
POST https://slopshop.gg/v1/llm-sentiment
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json
Input parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
text |
string | required | The text to process with AI |
options |
object | optional | Optional configuration (format, length, etc.) |
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 Sentiment Analysis in production.
curl -X POST https://slopshop.gg/v1/llm-sentiment \
-H "Authorization: Bearer $SLOPSHOP_KEY" \
-H "Content-Type: application/json" \
-d '{"text": "The battery life is incredible but the camera is disappointing compared to competitors."}'
curl -X POST https://slopshop.gg/v1/llm-sentiment \
-H "Authorization: Bearer $SLOPSHOP_KEY" \
-H "Content-Type: application/json" \
-d '{"text": "I've been waiting 3 days for a response and my order still hasn't shipped. This is unacceptable."}'
curl -X POST https://slopshop.gg/v1/llm-sentiment \
-H "Authorization: Bearer $SLOPSHOP_KEY" \
-H "Content-Type: application/json" \
-d '{"text": "I love the flexible work hours, but the communication between teams could definitely be improved."}'
Code examples
curl
curl -X POST https://slopshop.gg/v1/llm-sentiment \
-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-sentiment",
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-sentiment", {
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-sentiment
slop llm-sentiment '{"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
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