Multi-Category Toxicity Scoring
Evaluates harassment, hate speech, severe toxicity, profanity, insult, and threat sub-scores (0.0 to 1.0).
Loading RSFlowHub...
Automated social comment moderation API detecting toxicity, harassment, hate speech, profanity, and promotional abuse.
https://test.rsflowhub.com/api/v1/ai/comment-moderate
Automated Toxic Comment Filter & Moderation 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/comment-moderate 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: Add AI Comment Moderation to a React and Next.js App
X-API-Key Header
curl -X POST "https://test.rsflowhub.com/api/v1/ai/comment-moderate" \
-H "Content-Type: application/json" \
-H "X-API-Key: rfh_your_api_key" \
-d '{"comment":"Buy cheap followers now at http:\/\/fakefollowers.com !!! FAST DELIVERY!","platform":"YouTube"}'
<?php
$client = new \GuzzleHttp\Client();
$response = $client->post('https://test.rsflowhub.com/api/v1/ai/comment-moderate', [
'headers' => [
'Content-Type' => 'application/json',
'X-API-Key' => 'rfh_your_api_key',
],
'json' => array (
'comment' => 'Buy cheap followers now at http://fakefollowers.com !!! FAST DELIVERY!',
'platform' => 'YouTube',
),
]);
echo $response->getBody();
const response = await fetch('https://test.rsflowhub.com/api/v1/ai/comment-moderate', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-API-Key': 'rfh_your_api_key'
},
body: JSON.stringify({"comment":"Buy cheap followers now at http:\/\/fakefollowers.com !!! FAST DELIVERY!","platform":"YouTube"})
});
const data = await response.json();
console.log(data);
import requests
url = "https://test.rsflowhub.com/api/v1/ai/comment-moderate"
headers = {
"Content-Type": "application/json",
"X-API-Key": "rfh_your_api_key"
}
payload = {"comment":"Buy cheap followers now at http:\/\/fakefollowers.com !!! FAST DELIVERY!","platform":"YouTube"}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
Evaluates harassment, hate speech, severe toxicity, profanity, insult, and threat sub-scores (0.0 to 1.0).
Returns automated recommended actions: "approve", "flag_for_review", "shadowban", or "delete".
Detects abusive slang, profanity, and harassment patterns across 50+ global languages.
Configurable strictness parameters tailored for gaming chats, public social networks, or enterprise forums.
See how developers integrate this API endpoint into production apps.
Instantly filter out toxic chat messages, slurs, and profanity during high-volume live streaming events.
Auto-hide cyberbullying, harassment, and hate speech comments before they are published publicly.
Filter out abusive fake reviews and profanity from product review sections prior to publishing.
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 | Validated JSON envelope | Unstructured markdown or chat format | Brittle custom regex tuples |
| Setup Effort | One POST request, no prompts | Write and maintain prompts + output parsing | Fast, but rule lists miss context and sarcasm |
| Pricing Model | Flat 3 credit/request | Volatile token-based billing | High server maintenance overhead |
| Multi-Turn Hallucination | Zero (Deterministic validators) | Output format can drift between model versions | No semantic AI intelligence |
| Developer Integration | 3 lines cURL, PHP, JS, Python | Complex prompt engineering & retry loop | Fragile manual rule maintenance |
comment
string
Raw comment text to evaluate for safety, toxicity, and policy violations.
platform
string
Target social or community environment ("YouTube", "Twitch", "Forum", "Instagram").
context
string
Additional community guidelines context or strictness rules.
Every endpoint returns the same envelope: success, request_id, data.result and meta.
{
"success": true,
"request_id": "req_3f9a2c7e-5b1d-4e8a-9c2f-7d6e1a0b4c8d",
"data": {
"result": {
"is_safe": false,
"categories": [
"harassment",
"spam"
],
"severity": "high",
"recommended_action": "hide",
"reason": "Insults other users and promotes an external offer.",
"confidence": 0.93
}
},
"meta": {
"version": "v1",
"timestamp": "2026-10-05T09:30:00Z"
}
}
Everything you need to know about integrating and using Automated Toxic Comment Filter & Moderation API.
Get started in minutes with free welcome credits and instant API key generation.
🐞 Found an issue? Report it and our team replies within 1 business day.
💡 Need a custom endpoint? Tell us what you need and we will scope it with you.