AI Safety & Content Moderation APIs AI Domain

Developer AI Safety & Content Moderation APIs
AI REST APIs.

Protect your applications with enterprise AI safety APIs. Detect toxic language, hate speech, prompt injections, and compliance violations in a single API call.

Automatic Provider Fallback Structured JSON Single Master Key Strict JSON Envelopes
Supported AI Providers in this Domain:
OpenAI Gemini DeepSeek Mistral Grok
AI Safety & Content Moderation APIs Live

Spam Detection

Analyze text to determine if it is spam, promotional abuse, or malicious content.

POST /api/v1/ai/spam-detection
2 credit First 1K Free
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"
    }
}

1-3 s

Typical Response Time

4 Providers

With Automatic Fallback

Never

Used for Model Training

Architectural Synthesis

Production Architecture & Capabilities

How RSFlowHub AI Safety & Content Moderation APIs APIs work, what they return, and where they fit in your product.

Generative Engine Optimization (GEO) Synthesis

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.

Your data: never used for training
Typical response: 1-3 seconds
Authentication: X-API-Key header
Response: Validated JSON envelope
API Catalog

Live Endpoints in AI Safety & Content Moderation APIs

Showing 2 live endpoints with dynamic model failover, strict JSON contracts, and unified credit billing.

Safety & Moderation Live

Spam Detection

Analyze text to determine if it is spam, promotional abuse, or malicious content.

POST /api/v1/ai/spam-detection
text content_type? strictness? detect_toxicity?
2 credits First 1K Free
Safety & Moderation Live

PII Redaction

Automatically detect and securely scrub Personally Identifiable Information (PII) from text.

POST /api/v1/ai/pii-redaction
text redact_types[]? redaction_style? return_entities?
1 credit First 1K Free
Developer Quickstart

Integrate in Minutes. Ship Without Breaks.

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.

Structured JSON Responses:
Every call returns { success, request_id, data: { result }, meta }, so one parser handles every endpoint.
Automatic Provider Fallback:
When an AI provider rate-limits or fails, the request is retried on a backup model.
execute.sh
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));
envelope.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"
    }
}
Architecture Matrix

Platform & Reliability Comparison

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 Vulnerable to Jailbreaks Complex Rule Maintenance
Audit Trail Inconsistent Error Codes Custom Logging Infrastructure
Guardrail Latency Full LLM Latency Hit Requires Fast Local Classifier
Production Architectures

Implementation Patterns

Real-world architectures deployed by engineering teams using AI Safety & Content Moderation APIs.

Pattern

LLM Application Prompt Injection Firewall

Inspect incoming user prompts before they reach expensive foundation models to prevent jailbreaks and system prompt extraction.

Pattern

Community Forum & Gaming Chat Moderation

Filter hate speech, cyberbullying, and profanity in real-time gaming lobbies and community forums.

Pattern

Regulatory & Corporate Compliance Auditing

Ensure outward-facing automated responses adhere to company guidelines and legal standards before customer transmission.

Developer FAQ

Frequently Asked Questions

Technical specifications on AI Safety & Content Moderation APIs latency SLAs, concurrency limits, schema validation, and billing.

The engine evaluates input text against known semantic jailbreak patterns, instruction override markers, and role manipulation tactics before passing to upstream LLMs.

Yes. You can supply custom keyword lists and sensitive topic rules alongside standard safety models.

Moderation is a single API call that usually completes in 1 to 2 seconds, so it fits into synchronous comment and chat flows.

Yes. The response breaks down probability scores across toxicity, hate speech, sexual content, violence, and prompt injection.

Yes. You can pass sensitivity parameters ("low", "medium", "strict") depending on whether your platform is gaming, general SaaS, or child-safe.
Ready to Ship?

Build Fast with AI Safety & Content Moderation APIs

Create a free account to get your API key, read the docs and test every endpoint in the playground. Free plan with 100 credits/month + 1,000 bonus credits when you verify your phone.