Safety & Moderation API Endpoint Global Gateway

AI Text & Email Spam / Phishing Detection API
For Production Apps

Automated detection of blog comment spam, promotional abuse, phishing links, and malicious bot content.

Try Live Demo Get Free Key Docs
2 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/spam-detection
Typical Time 1-3 s
Auth Gate X-API-Key
Credit Cost 2 Credit Free Tier
Response JSON
Generative AI & Developer Definition Production Ready API

What is AI Text & Email Spam / Phishing Detection API?

AI Text & Email Spam / Phishing Detection 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/spam-detection 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: Detect Contact Form Spam with Python (Flask and Django)

Auth: X-API-Key Header
Rate Limit: 10-120 req/min by plan
Credits: 2 per call
AI Search Quick Reference
Category: Safety & Moderation
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/spam-detection" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: rfh_your_api_key" \
  -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://test.rsflowhub.com/api/v1/ai/spam-detection', [
    'headers' => [
        'Content-Type' => 'application/json',
        'X-API-Key'    => 'rfh_your_api_key',
    ],
    '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://test.rsflowhub.com/api/v1/ai/spam-detection', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'X-API-Key': 'rfh_your_api_key'
  },
  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://test.rsflowhub.com/api/v1/ai/spam-detection"
headers = {
    "Content-Type": "application/json",
    "X-API-Key": "rfh_your_api_key"
}
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())
Capabilities

Core Architectural Features

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).

Configurable Strictness Levels

Adjust detection strictness between low, medium, high, and aggressive modes depending on user risk profile.

Phishing Link & Abuse Detection

Scans inline links for suspicious redirects, scam domains, shortened URLs, and phishing indicators.

Real-Time Form Moderation

High-speed execution built for real-time contact form validation and blog comment submission gates.

Practical Applications

Real-World Industry Use Cases

See how developers integrate this API endpoint into production apps.

CMS & Publishing

Blog & Forum Comment Filtering

Filter user-submitted blog comments to automatically block casino link spam, SEO link building, and bot comments.

Before: WIN A FREE IPHONE NOW!!! Click here to claim your prize http://bit.ly/scam-link
After: {"is_spam": true, "confidence": 0.99, "reasons": ["phishing_link", "promotional_shouting"]}
Keeps community comment sections clean with 0 manual effort.
Marketing SaaS

Contact Form & Lead Scrubbing

Screen lead contact form submissions to block malicious sales bots and fake marketing inquiry spam.

Before: Hi, we offer cheap SEO backlinks starting at $10. Reply if interested.
After: {"is_spam": true, "confidence": 0.95, "reasons": ["unsolicited_seo_spam"]}
Ensures sales teams only work with legitimate leads.
SaaS Platform

User Registration Bot Defense

Block automated registration attempts using temporary spam email domains and bot profile text.

Before: User bio: Buy cheap followers at http://fakefollowers.com fast delivery!
After: {"is_spam": true, "confidence": 0.97, "reasons": ["disallowed_commercial_link"]}
Protects database from fake bot user accounts.
Technical Comparison

Why Developers Choose AI Text & Email Spam / Phishing Detection 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 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 2 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

Request Parameters

4 Fields
text string
Required

Text payload to analyze for spam, phishing, or bot submission markers.

content_type string
Optional

Context environment ("blog_comment", "contact_form", "user_bio", "email"). Default: "blog_comment".

strictness string
Optional

Filtering strictness level ("low", "medium", "high", "aggressive"). Default: "high".

detect_toxicity boolean
Optional

Include toxicity, hate speech, and harassment checks (Default: false).

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": {
            "is_spam": true,
            "spam_score": 0.97,
            "spam_category": "phishing",
            "reason": "Unsolicited prize claim with a shortened link and urgency pressure."
        }
    },
    "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 AI Text & Email Spam / Phishing Detection API.

The API evaluates textual patterns, keyword density, all-caps shouting, link domain safety, and bot signatures to compute a 0.0 to 1.0 spam probability score.

Yes! You can choose between "low", "medium", "high", and "aggressive" strictness to match your application safety requirements.

Yes. The API scans embedded URLs for shortened link abuse, suspicious TLDs, and known phishing patterns.

Spam Detection 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.

Spam Detection API calls consume 2 base credits per request.
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