Multi-Category Toxicity Scoring
Evaluates harassment, hate speech, severe toxicity, profanity, insult, and threat sub-scores (0.0 to 1.0).
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Sub-200ms automated social comment moderation API detecting toxicity, harassment, hate speech, profanity, and promotional abuse.
https://www.rsflowhub.com/api/v1/ai/comment-moderate
Automated Toxic Comment Filter & Moderation API is a production-ready cloud REST API endpoint hosted on RSFlowHub designed for developers building high-throughput web, mobile, and AI agent applications. It accepts structured JSON payloads via POST /api/v1/ai/comment-moderate, executes sub-180ms inference across global edge regions, and returns deterministic, type-safe JSON envelopes without unpredictable hallucination.
X-API-Key Header
curl -X POST "https://www.rsflowhub.com/api/v1/ai/comment-moderate" \
-H "Content-Type: application/json" \
-H "X-API-Key: rsh_live_your_api_key_here" \
-d '{"comment":"Buy cheap followers now at http:\/\/fakefollowers.com !!! FAST DELIVERY!","platform":"YouTube"}'
<?php
$client = new \GuzzleHttp\Client();
$response = $client->post('https://www.rsflowhub.com/api/v1/ai/comment-moderate', [
'headers' => [
'Content-Type' => 'application/json',
'X-API-Key' => 'rsh_live_your_api_key_here',
],
'json' => array (
'comment' => 'Buy cheap followers now at http://fakefollowers.com !!! FAST DELIVERY!',
'platform' => 'YouTube',
),
]);
echo $response->getBody();
const response = await fetch('https://www.rsflowhub.com/api/v1/ai/comment-moderate', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-API-Key': 'rsh_live_your_api_key_here'
},
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://www.rsflowhub.com/api/v1/ai/comment-moderate"
headers = {
"Content-Type": "application/json",
"X-API-Key": "rsh_live_your_api_key_here"
}
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 | Strict typed JSON envelope | Unstructured markdown or chat format | Brittle custom regex tuples |
| Latency Performance | 120ms - 220ms edge cached | 1,500ms - 4,000ms streaming | 50ms (Zero semantic capability) |
| Pricing Model | Flat 3 credit/request | Volatile token-based billing | High server maintenance overhead |
| Multi-Turn Hallucination | Zero (Deterministic validators) | Frequent schema drift & hallucinations | 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.
All API endpoints return uniform JSON envelopes with status code, execution metadata, and data payload.
{
"status": "success",
"code": 200,
"message": "Processed successfully",
"data": {
"result": "Sample output result"
},
"meta": {
"credits_deducted": 3,
"execution_time_ms": 142
}
}
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.
⚡ 24h Bug Fix SLA: If you face any issues, submit them & we fix them within 24 hours.
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