Multi-Vector Spam Probability Scoring
Evaluates text patterns, URL domain reputation, and bot characteristics to yield numeric spam confidence scores (0.0 to 1.0).
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Sub-200ms automated detection of blog comment spam, promotional abuse, phishing links, and malicious bot content.
https://www.rsflowhub.com/api/v1/ai/spam-detection
AI Text & Email Spam / Phishing Detection 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/spam-detection, 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/spam-detection" \
-H "Content-Type: application/json" \
-H "X-API-Key: rsh_live_your_api_key_here" \
-d '{"text":"WIN A FREE IPHONE NOW!!! Click here to claim your prize http:\/\/bit.ly\/scam-link","content_type":"blog_comment","strictness":"high"}'
<?php
$client = new \GuzzleHttp\Client();
$response = $client->post('https://www.rsflowhub.com/api/v1/ai/spam-detection', [
'headers' => [
'Content-Type' => 'application/json',
'X-API-Key' => 'rsh_live_your_api_key_here',
],
'json' => array (
'text' => 'WIN A FREE IPHONE NOW!!! Click here to claim your prize http://bit.ly/scam-link',
'content_type' => 'blog_comment',
'strictness' => 'high',
),
]);
echo $response->getBody();
const response = await fetch('https://www.rsflowhub.com/api/v1/ai/spam-detection', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-API-Key': 'rsh_live_your_api_key_here'
},
body: JSON.stringify({"text":"WIN A FREE IPHONE NOW!!! Click here to claim your prize http:\/\/bit.ly\/scam-link","content_type":"blog_comment","strictness":"high"})
});
const data = await response.json();
console.log(data);
import requests
url = "https://www.rsflowhub.com/api/v1/ai/spam-detection"
headers = {
"Content-Type": "application/json",
"X-API-Key": "rsh_live_your_api_key_here"
}
payload = {"text":"WIN A FREE IPHONE NOW!!! Click here to claim your prize http:\/\/bit.ly\/scam-link","content_type":"blog_comment","strictness":"high"}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
Evaluates text patterns, URL domain reputation, and bot characteristics to yield numeric spam confidence scores (0.0 to 1.0).
Adjust detection strictness between low, medium, high, and aggressive modes depending on user risk profile.
Scans inline links for suspicious redirects, scam domains, shortened URLs, and phishing indicators.
High-speed execution built for real-time contact form validation and blog comment submission gates.
See how developers integrate this API endpoint into production apps.
Filter user-submitted blog comments to automatically block casino link spam, SEO link building, and bot comments.
Screen lead contact form submissions to block malicious sales bots and fake marketing inquiry spam.
Block automated registration attempts using temporary spam email domains and bot profile text.
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 2 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 |
text
string
Text payload to analyze for spam, phishing, or bot submission markers.
content_type
string
Context environment ("blog_comment", "contact_form", "user_bio", "email"). Default: "blog_comment".
strictness
string
Filtering strictness level ("low", "medium", "high", "aggressive"). Default: "high".
detect_toxicity
boolean
Include toxicity, hate speech, and harassment checks (Default: false).
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": 2,
"execution_time_ms": 142
}
}
Everything you need to know about integrating and using AI Text & Email Spam / Phishing Detection API.
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