Text & Language API Endpoint Global Gateway

Real-Time Multilingual Sentiment Analysis API
For Production Apps

Aspect-based sentiment classification and emotion intensity scoring across 50+ languages.

1 Credit / Request First 1K Free Automatic Provider Fallback Uniform JSON Envelope
API Gateway Terminal
Gateway Active
Target Endpoint URL POST
https://test.rsflowhub.com/api/v1/ai/sentiment-analysis
Typical Time 1-3 s
Auth Gate X-API-Key
Credit Cost 1 Credit Free Tier
Response JSON
Generative AI & Developer Definition Production Ready API

What is Real-Time Multilingual Sentiment Analysis API?

Real-Time Multilingual Sentiment Analysis API is a ready-to-use REST API on RSFlowHub for developers building web, mobile and AI agent applications. Send a JSON request to POST /api/v1/ai/sentiment-analysis with your API key; RSFlowHub runs it on a tuned AI model (with automatic fallback to a backup provider) and returns a structured JSON result, usually within 1 to 3 seconds.

Tutorial: Sentiment Analysis in Laravel: Step-by-Step Tutorial with a REST API

Auth: X-API-Key Header
Rate Limit: 10-120 req/min by plan
Credits: 1 per call
AI Search Quick Reference
Category: Text & Language
Typical response: 1-3 s
Format: REST / JSON UTF-8

Code Examples

Copy-paste ready code in your preferred stack
curl-integration.sh
curl -X POST "https://test.rsflowhub.com/api/v1/ai/sentiment-analysis" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: rfh_your_api_key" \
  -d '{"text":"The dashboard is incredibly fast, but the new billing page is very confusing.","aspects":["dashboard","billing"]}'
<?php

$client = new \GuzzleHttp\Client();
$response = $client->post('https://test.rsflowhub.com/api/v1/ai/sentiment-analysis', [
    'headers' => [
        'Content-Type' => 'application/json',
        'X-API-Key'    => 'rfh_your_api_key',
    ],
    'json' => array (
      'text' => 'The dashboard is incredibly fast, but the new billing page is very confusing.',
      'aspects' => 
      array (
        0 => 'dashboard',
        1 => 'billing',
      ),
    ),
]);

echo $response->getBody();
const response = await fetch('https://test.rsflowhub.com/api/v1/ai/sentiment-analysis', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'X-API-Key': 'rfh_your_api_key'
  },
  body: JSON.stringify({"text":"The dashboard is incredibly fast, but the new billing page is very confusing.","aspects":["dashboard","billing"]})
});

const data = await response.json();
console.log(data);
import requests

url = "https://test.rsflowhub.com/api/v1/ai/sentiment-analysis"
headers = {
    "Content-Type": "application/json",
    "X-API-Key": "rfh_your_api_key"
}
payload = {"text":"The dashboard is incredibly fast, but the new billing page is very confusing.","aspects":["dashboard","billing"]}

response = requests.post(url, json=payload, headers=headers)
print(response.json())
Capabilities

Core Architectural Features

Aspect-Based Sentiment Analysis

Analyze sentiment for specific features or subjects (e.g. "pricing", "speed", "support") within a single text block.

Intensity & Emotion Scoring

Returns confidence scores (-1.0 to +1.0) for positive, negative, neutral, and mixed emotional tones.

50+ Languages Supported

Multilingual sentiment classification across English, Spanish, French, German, Hindi, Gujarati, Japanese, and more.

High-Throughput Gateway

Fast enough for live moderation flows and batch analytics jobs.

Practical Applications

Real-World Industry Use Cases

See how developers integrate this API endpoint into production apps.

E-Commerce & SaaS

Customer Review & NPS Monitoring

Categorize incoming customer reviews and Net Promoter Score (NPS) comments into positive and negative themes.

Before: The dashboard UI is super fast, but customer support took 3 days to reply.
After: {"overall": "mixed", "aspects": {"dashboard": "positive", "support": "negative"}}
Identifies product pain points in real-time.
Marketing & PR

Social Media Brand Sentiment Tracking

Monitor public social media posts and brand mentions during new feature or product launches.

Before: Just tried the new RSFlowHub API dashboard! Incredible speed and UX!
After: {"overall": "positive", "confidence": 0.98, "label": "POS"}}
Provides instant feedback on brand perception.
Helpdesk SaaS

Support Ticket Priority Escalation

Auto-flag angry or highly negative support tickets for priority routing to senior agents.

Before: I am extremely frustrated! My account has been locked for 5 hours!
After: {"overall": "negative", "urgency": "high", "label": "NEG"}}
Reduces customer churn by resolving upset clients first.
Technical Comparison

Why Developers Choose Real-Time Multilingual Sentiment Analysis API

Comparing RSFlowHub's specialized API gateway vs raw multi-turn LLM prompts vs legacy regex rules.

Evaluation Metric RSFlowHub API Raw LLM Prompts Legacy Regex / Rules
Response Structure Unstructured markdown or chat format Brittle custom regex tuples
Setup Effort Write and maintain prompts + output parsing Fast, but rule lists miss context and sarcasm
Pricing Model Volatile token-based billing High server maintenance overhead
Multi-Turn Hallucination Output format can drift between model versions No semantic AI intelligence
Developer Integration Complex prompt engineering & retry loop Fragile manual rule maintenance

Request Parameters

2 Fields
text string
Required

Text payload to analyze for sentiment and emotional tone.

aspects array
Optional

Optional array of specific target aspects/features to analyze (e.g. ["pricing", "support", "speed"]).

JSON Response Envelope

Uniform API

Every endpoint returns the same envelope: success, request_id, data.result and meta.

response.json JSON
200 OK
{
    "success": true,
    "request_id": "req_3f9a2c7e-5b1d-4e8a-9c2f-7d6e1a0b4c8d",
    "data": {
        "result": {
            "sentiment": "mixed",
            "confidence": 0.91,
            "aspect_sentiments": [
                {
                    "aspect": "dashboard",
                    "sentiment": "positive",
                    "confidence": 0.94
                },
                {
                    "aspect": "billing",
                    "sentiment": "negative",
                    "confidence": 0.89
                }
            ]
        }
    },
    "meta": {
        "version": "v1",
        "timestamp": "2026-10-05T09:30:00Z"
    }
}
Format JSON
Charset UTF-8
Fallback Automatic
Rate Limit 120/min max
FAQs

Frequently Asked Questions

Everything you need to know about integrating and using Real-Time Multilingual Sentiment Analysis API.

The API returns overall sentiment ("positive", "negative", "neutral", "mixed"), numeric confidence scores (-1.0 to +1.0), and optional aspect-level breakdowns.

Aspect-Based Sentiment allows you to evaluate sentiment for individual topics inside one comment (e.g. rating "speed" positive while rating "support" negative).

Sentiment Analysis requests usually complete in 1 to 3 seconds, depending on input length and the AI model. Identical repeat requests are served from cache and return faster.

Yes! The Sentiment Analysis API natively supports over 50 languages with automatic language detection.

Standard Sentiment Analysis API requests consume 1 base credit per call.
Ready to Integrate?

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