1-3 s
Typical Response Time
Loading RSFlowHub...
Protect your applications with enterprise AI safety APIs. Detect toxic language, hate speech, prompt injections, and compliance violations in a single API call.
Analyze text to determine if it is spam, promotional abuse, or malicious content.
/api/v1/ai/spam-detection
{
"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"
}
}
Typical Response Time
With Automatic Fallback
Used for Model Training
How RSFlowHub AI Safety & Content Moderation APIs APIs work, what they return, and where they fit in your product.
RSFlowHub Safety & Moderation APIs provide mission-critical defense layers for user-generated content and LLM application inputs. With real-time detection of prompt injection attacks, profanity, harassment, and compliance violations, these endpoints safeguard enterprise brands and digital platforms.
Showing 2 live endpoints with dynamic model failover, strict JSON contracts, and unified credit billing.
Analyze text to determine if it is spam, promotional abuse, or malicious content.
/api/v1/ai/spam-detection
Automatically detect and securely scrub Personally Identifiable Information (PII) from text.
/api/v1/ai/pii-redaction
Call any AI Safety & Content Moderation APIs endpoint using standard REST requests in your favorite language. You get structured JSON back, with automatic model fallback and a request ID on every call.
curl -X POST "https://rsflowhub.com/api/v1/ai/spam-detection" \
-H "X-API-Key: rfh_your_api_key" \
-H "Content-Type: application/json" \
-d '{
"text": "Congratulations!!! You won a $500 gift card. Claim now at bit.ly/free-gift before it expires"
}'
import requests
url = "https://rsflowhub.com/api/v1/ai/spam-detection"
headers = {
"X-API-Key": "rfh_your_api_key",
"Content-Type": "application/json"
}
payload = {
"text": "Congratulations!!! You won a $500 gift card. Claim now at bit.ly/free-gift before it expires"
}
response = requests.post(url, headers=headers, json=payload)
print(response.json())
const response = await fetch("https://rsflowhub.com/api/v1/ai/spam-detection", {
method: "POST",
headers: {
"X-API-Key": "rfh_your_api_key",
"Content-Type": "application/json"
},
body: JSON.stringify({
"text": "Congratulations!!! You won a $500 gift card. Claim now at bit.ly/free-gift before it expires"
})
});
const data = await response.json();
console.log(data);
<?php
$ch = curl_init("https://rsflowhub.com/api/v1/ai/spam-detection");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, [
"X-API-Key: rfh_your_api_key",
"Content-Type: application/json"
]);
curl_setopt($ch, CURLOPT_POSTFIELDS, '{
"text": "Congratulations!!! You won a $500 gift card. Claim now at bit.ly/free-gift before it expires"
}');
$response = curl_exec($ch);
curl_close($ch);
print_r(json_decode($response, true));
{
"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"
}
}
How RSFlowHub AI Safety & Content Moderation APIs compares to direct cloud provider SDKs and self-hosted open-source clusters.
| Platform Capability | RSFlowHub AI Safety & Content Moderation APIs | Direct Cloud SDKs | Self-Hosted Models |
|---|---|---|---|
| Prompt Injection Defense | Dedicated Multi-Pattern Injection Classifier | Vulnerable to Jailbreaks | Complex Rule Maintenance |
| Audit Trail | Standardized Flag Envelopes | Inconsistent Error Codes | Custom Logging Infrastructure |
| Guardrail Latency | One Lightweight Pre-Check Call | Full LLM Latency Hit | Requires Fast Local Classifier |
Real-world architectures deployed by engineering teams using AI Safety & Content Moderation APIs.
Inspect incoming user prompts before they reach expensive foundation models to prevent jailbreaks and system prompt extraction.
Filter hate speech, cyberbullying, and profanity in real-time gaming lobbies and community forums.
Ensure outward-facing automated responses adhere to company guidelines and legal standards before customer transmission.
Technical specifications on AI Safety & Content Moderation APIs latency SLAs, concurrency limits, schema validation, and billing.
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