Sentiment Analysis API
Sentiment Analysis is a simple tool for analyzing the sentiment of a text. It returns the sentiment score and the sentiment label.
The Sentiment Analysis API provides reliable and fast access to sentiment analysis data through a simple REST interface. Built for developers who need consistent, high-quality results with minimal setup time.
To use Sentiment Analysis, you need an API key. You can get one by creating a free account and visiting your dashboard.
POST Endpoint
https://api.apiverve.com/v1/sentimentanalysisCode Examples
Here are examples of how to call the Sentiment Analysis API in different programming languages:
curl -X POST \
"https://api.apiverve.com/v1/sentimentanalysis" \
-H "X-API-Key: your_api_key_here" \
-H "Content-Type: application/json" \
-d '{
"text": "I'm so excited that tomorrow is going to be sunny! Can't wait!"
}'const response = await fetch('https://api.apiverve.com/v1/sentimentanalysis', {
method: 'POST',
headers: {
'X-API-Key': 'your_api_key_here',
'Content-Type': 'application/json'
},
body: JSON.stringify({
"text": "I'm so excited that tomorrow is going to be sunny! Can't wait!"
})
});
const data = await response.json();
console.log(data);import requests
headers = {
'X-API-Key': 'your_api_key_here',
'Content-Type': 'application/json'
}
payload = {
"text": "I'm so excited that tomorrow is going to be sunny! Can't wait!"
}
response = requests.post('https://api.apiverve.com/v1/sentimentanalysis', headers=headers, json=payload)
data = response.json()
print(data)const https = require('https');
const url = require('url');
const options = {
method: 'POST',
headers: {
'X-API-Key': 'your_api_key_here',
'Content-Type': 'application/json'
}
};
const postData = JSON.stringify({
"text": "I'm so excited that tomorrow is going to be sunny! Can't wait!"
});
const req = https.request('https://api.apiverve.com/v1/sentimentanalysis', options, (res) => {
let data = '';
res.on('data', (chunk) => data += chunk);
res.on('end', () => console.log(JSON.parse(data)));
});
req.write(postData);
req.end();<?php
$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://api.apiverve.com/v1/sentimentanalysis');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_CUSTOMREQUEST, 'POST');
curl_setopt($ch, CURLOPT_HTTPHEADER, [
'X-API-Key: your_api_key_here',
'Content-Type: application/json'
]);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode({
'text': 'I'm so excited that tomorrow is going to be sunny! Can't wait!'
}));
$response = curl_exec($ch);
curl_close($ch);
$data = json_decode($response, true);
print_r($data);
?>package main
import (
"fmt"
"io"
"net/http"
"bytes"
"encoding/json"
)
func main() {
payload := map[string]interface{}{
"text": "I'm so excited that tomorrow is going to be sunny! Can't wait!"
}
jsonPayload, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", "https://api.apiverve.com/v1/sentimentanalysis", bytes.NewBuffer(jsonPayload))
req.Header.Set("X-API-Key", "your_api_key_here")
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}require 'net/http'
require 'json'
uri = URI('https://api.apiverve.com/v1/sentimentanalysis')
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = true
payload = {
"text": "I'm so excited that tomorrow is going to be sunny! Can't wait!"
}
request = Net::HTTP::Post.new(uri)
request['X-API-Key'] = 'your_api_key_here'
request['Content-Type'] = 'application/json'
request.body = payload.to_json
response = http.request(request)
puts JSON.pretty_generate(JSON.parse(response.body))using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
class Program
{
static async Task Main(string[] args)
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("X-API-Key", "your_api_key_here");
var jsonContent = @"{
""text"": ""I'm so excited that tomorrow is going to be sunny! Can't wait!""
}";
var content = new StringContent(jsonContent, Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.apiverve.com/v1/sentimentanalysis", content);
response.EnsureSuccessStatusCode();
var responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);
}
}Authentication
The Sentiment Analysis API requires authentication via API key. Include your API key in the request header:
X-API-Key: your_api_key_hereInteractive API Playground
Test the Sentiment Analysis API directly in your browser with live requests and responses.
Parameters
The following parameters are available for the Sentiment Analysis API:
Analyze Sentiment
| Parameter | Type | Required | Description | Default | Example |
|---|---|---|---|---|---|
text | string | required | The text to analyze the sentiment of | - |
Response
The Sentiment Analysis API returns responses in JSON, XML, YAML, and CSV formats:
Example Responses
{
"status": "ok",
"error": null,
"data": {
"comparative": 0.25,
"sentimentText": "positive",
"sentiment": 3,
"isPositive": true,
"isNegative": false,
"normalizedScore": 0.3
}
}<?xml version="1.0" encoding="UTF-8"?>
<response>
<status>ok</status>
<error xsi:nil="true" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"/>
<data>
<comparative>0.25</comparative>
<sentimentText>positive</sentimentText>
<sentiment>3</sentiment>
<isPositive>true</isPositive>
<isNegative>false</isNegative>
<normalizedScore>0.3</normalizedScore>
</data>
</response>
status: ok
error: null
data:
comparative: 0.25
sentimentText: positive
sentiment: 3
isPositive: true
isNegative: false
normalizedScore: 0.3
| key | value |
|---|---|
| comparative | 0.25 |
| sentimentText | positive |
| sentiment | 3 |
| isPositive | true |
| isNegative | false |
| normalizedScore | 0.3 |
Response Structure
All API responses follow a consistent structure with the following fields:
| Field | Type | Description | Example |
|---|---|---|---|
status | string | Indicates whether the request was successful ("ok") or failed ("error") | ok |
error | string | null | Contains error message if status is "error", otherwise null | null |
data | object | null | Contains the API response data if successful, otherwise null | {...} |
Learn more about response formats →
Response Data Fields
When the request is successful, the data object contains the following fields:
| Field | Type | Sample Value | Description |
|---|---|---|---|
comparative | number | - | |
sentimentText | string | - | |
sentiment | number | - | |
isPositive | boolean | Whether the sentiment is positive | |
isNegative | boolean | Whether the sentiment is negative | |
normalizedScorePremium | number | Sentiment score normalized to -1 to 1 range |
Headers
Required and optional headers for Sentiment Analysis API requests:
| Header Name | Required | Example Value | Description |
|---|---|---|---|
X-API-Key | required | your_api_key_here | Your APIVerve API key. Found in your dashboard under API Keys. |
Accept | optional | application/json | Specify response format: application/json (default), application/xml, or application/yaml |
User-Agent | optional | MyApp/1.0 | Identifies your application for analytics and debugging purposes |
X-Request-ID | optional | req_123456789 | Custom request identifier for tracking and debugging requests |
Cache-Control | optional | no-cache | Control caching behavior for the request and response |
GraphQL AccessALPHA
Access Sentiment Analysis through GraphQL to combine it with other API calls in a single request. Query only the sentiment analysis data you need with precise field selection, and orchestrate complex data fetching workflows.
Credit Cost: Each API called in your GraphQL query consumes its standard credit cost.
POST https://api.apiverve.com/v1/graphqlquery {
sentimentanalysis(
input: {
text: "I'm so excited that tomorrow is going to be sunny! Can't wait!"
}
) {
comparative
sentimentText
sentiment
isPositive
isNegative
normalizedScore
}
}Note: Authentication is handled via the x-api-key header in your GraphQL request, not as a query parameter.
CORS Support
The Sentiment Analysis API supports Cross-Origin Resource Sharing (CORS) with wildcard configuration, allowing you to call Sentiment Analysis directly from browser-based applications without proxy servers.
| CORS Header | Value | Description |
|---|---|---|
Access-Control-Allow-Origin | * | Accepts requests from any origin |
Access-Control-Allow-Methods | * | Accepts any HTTP method |
Access-Control-Allow-Headers | * | Accepts any request headers |
Browser Usage: You can call Sentiment Analysis directly from JavaScript running in the browser without encountering CORS errors. No proxy server or additional configuration needed.
Rate Limiting
Sentiment Analysis API requests are subject to rate limiting based on your subscription plan. These limits ensure fair usage and maintain service quality for all Sentiment Analysis users.
| Plan | Rate Limit | Description |
|---|---|---|
| Free | 5 requests/min | Hard rate limit enforced - exceeding will return 429 errors |
| Starter | No Limit | Production ready - standard traffic priority |
| Pro | No Limit | Production ready - preferred traffic priority |
| Mega | No Limit | Production ready - highest traffic priority |
Learn more about rate limiting →
Rate Limit Headers
When rate limits apply, each Sentiment Analysis response includes headers to help you track your usage:
| Header | Description |
|---|---|
X-RateLimit-Limit | Maximum number of requests allowed per time window |
X-RateLimit-Remaining | Number of requests remaining in the current window |
X-RateLimit-Reset | Unix timestamp when the rate limit window resets |
Handling Rate Limits
Free Plan: When you exceed your rate limit, Sentiment Analysis returns a 429 Too Many Requests status code. Your application should implement appropriate backoff logic to handle this gracefully.
Paid Plans: No rate limiting or throttling applied. All paid plans (Starter, Pro, Mega) are production-ready.
Best Practices for Sentiment Analysis:
- Monitor the rate limit headers to track your Sentiment Analysis usage (Free plan only)
- Cache sentiment analysis responses where appropriate to reduce API calls
- Upgrade to Pro or Mega for guaranteed no-throttle Sentiment Analysis performance
Note: Sentiment Analysis rate limits are separate from credit consumption. You may have credits remaining but still hit rate limits when using Sentiment Analysis on Free tier.
Error Codes
The Sentiment Analysis API uses standard HTTP status codes to indicate success or failure:
| Code | Message | Description | Solution |
|---|---|---|---|
200 | OK | Request successful, data returned | No action needed - request was successful |
400 | Bad Request | Invalid request parameters or malformed request | Check required parameters and ensure values match expected formats |
401 | Unauthorized | Missing or invalid API key | Include x-api-key header with valid API key from dashboard |
403 | Forbidden | API key lacks permission or insufficient credits | Check credit balance in dashboard or upgrade plan |
429 | Too Many Requests | Rate limit exceeded (Free: 5 req/min) | Implement request throttling or upgrade to paid plan |
500 | Internal Server Error | Server error occurred | Retry request after a few seconds, contact support if persists |
503 | Service Unavailable | API temporarily unavailable | Wait and retry, check status page for maintenance updates |
Learn more about error handling →
Need help? Contact support with your X-Request-ID for assistance.
Integrate Sentiment Analysis with SDKs
Get started quickly with official Sentiment Analysis SDKs for your preferred language. Each library handles authentication, request formatting, and error handling automatically.
Available for Node.js, Python, C#/.NET, and Android/Java. All SDKs are open source and regularly updated.
Integrate Sentiment Analysis with No-Code API Tools
Connect the Sentiment Analysis API to your favorite automation platform without writing code. Build workflows that leverage sentiment analysis data across thousands of apps.





All platforms use your same API key to access Sentiment Analysis. Visit our integrations hub for step-by-step setup guides.
Frequently Asked Questions
How do I get an API key for Sentiment Analysis?
How many credits does Sentiment Analysis cost?
Each successful Sentiment Analysis API call consumes credits based on plan tier. Check the pricing section above for the exact credit cost. Failed requests and errors don't consume credits, so you only pay for successful sentiment analysis lookups.
Can I use Sentiment Analysis in production?
The free plan is for testing and development only. For production use of Sentiment Analysis, upgrade to a paid plan (Starter, Pro, or Mega) which includes commercial use rights, no attribution requirements, and guaranteed uptime SLAs. All paid plans are production-ready.
Can I use Sentiment Analysis from a browser?
What happens if I exceed my Sentiment Analysis credit limit?
When you reach your monthly credit limit, Sentiment Analysis API requests will return an error until you upgrade your plan or wait for the next billing cycle. You'll receive notifications at 80% and 95% usage to give you time to upgrade if needed.



