Introduction
Welcome to Deep Mod, the intelligent content moderation platform that helps you maintain safe, compliant, and brand-appropriate communities at scale. Whether you're protecting users from harmful content, ensuring regulatory compliance, or maintaining brand standards, Deep Mod provides the tools and intelligence you need to moderate content effectively and efficiently.
What Deep Mod Does
Deep Mod is a comprehensive text content moderation platform that evaluates user-generated text against your custom policies. Our advanced AI models analyze content in real-time, providing clear decisions with detailed explanations and confidence scores.
Our platform combines policy-based moderation with AI-powered analysis to deliver accurate, scalable content evaluation. You create custom rules and policies that reflect your unique community standards, brand guidelines, and compliance requirements, then our advanced machine learning models analyze content in real-time.
The system seamlessly integrates human oversight for nuanced decisions while providing both a comprehensive dashboard for policy management and a developer-friendly API with webhooks for programmatic integration into your existing workflows.
Who It's For
Deep Mod serves teams across various industries who need reliable, scalable content moderation:
Product teams managing social media platforms, e-commerce sites, community forums, and content publishing use our platform to protect users from harmful content while ensuring compliance with editorial guidelines and legal requirements.
Trust & safety teams rely on Deep Mod for proactive risk mitigation, compliance monitoring, and incident response. Our platform helps maintain consistent moderation standards across all content while providing the tools needed to quickly identify and address policy violations.
Platform and development teams appreciate our seamless API integration that reduces manual review overhead while handling growing content volumes. The comprehensive analytics help teams gain insights into content trends and optimize moderation performance without requiring proportional team growth.
What You'll Get
Every piece of content receives a clear decision with detailed reasoning. Results fall into four categories:
|
Result |
Description |
|---|---|
|
Success |
Content passes all applicable rules within confidence thresholds |
|
Failure |
Content violates one or more rules with sufficient confidence |
|
Ambiguous |
Rule violations exist but confidence is below threshold, requiring human judgment |
Along with each decision, you get:
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Confidence scores to gauge certainty
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Complete rule traceability showing which specific rules contributed to the outcome
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Custom metadata attached to retrieve context relevant to your business workflows
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Notifications alerting you to items requiring attention
The platform offers flexible integration through:
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A real-time API for moderating content as it's submitted
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Webhook notifications for instant updates on outcomes
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An intuitive dashboard interface with analytics
Time-Saving Features
Policy Templates - Browse pre-built, industry-specific policies (Social Media, E-commerce, Gaming, Healthcare, Financial Services, Dating Apps, etc.) and clone them instantly to your organization. Each template includes comprehensive rules, optimized settings, and regulatory awareness for common use cases.
Automatic Policy Generation - Already have policy documents, community guidelines, or content standards? Upload them as PDFs and let our AI automatically extract and structure them into ready-to-use policies, saving hours of manual rule creation.
Rule Presets - Access a library of pre-built rules that address common moderation scenarios. Browse and add these to your policies without writing rules from scratch.
Built-in Feedback System - Share bugs, feature requests, and UX improvements directly from the platform. Your input helps shape Deep Mod's evolution and ensures the platform meets your needs.
Who This Guide Is For
This documentation is designed for two primary audiences:
QC Analysts & Moderators use Deep Mod to create and tune policies that reflect organizational standards, interpret moderation outcomes, and manage human review workflows for cases requiring expert judgment. Your typical workflow involves defining content policies using our rule builder, testing with sample content, monitoring the moderation queue for failed content, reviewing ambiguous cases, and analyzing performance metrics to refine policies over time.
Developers & Technical Teams integrate our moderation APIs into applications and workflows, set up secure webhook endpoints to receive results, and build reliable error handling with retry logic. Your workflow focuses on API authentication setup, implementing content submission to our moderation API, configuring webhook handlers for asynchronous results, building business logic around moderation decisions, and monitoring integration health and performance.
Quick Start
For QC Analysts
Get your first policy running:
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Create Your First Policy
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Navigate to the Policies section in your dashboard
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Click "New Policy" and give it a descriptive name
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Add 3-5 high-impact rules that address your most critical content issues
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Configure Basic Settings
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Set a conservative confidence threshold (start with 0.70-0.80)
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Choose a review mode:
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Automatic: All decisions are final without human review
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Manual: All content requires human review
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Hybrid: Only ambiguous cases require human review
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Save your policy
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Test with Sample Content
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Use the Policy Testing feature to evaluate representative content samples
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Identify any unexpected results or edge cases
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Refine and Activate
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Adjust rule wording or confidence thresholds based on test results
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Continue testing until false positives are at an acceptable level
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Activate your policy when satisfied with performance
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Monitor Results
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Check the Moderation Queue regularly for failed content
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Use the Analytics dashboard to understand moderation patterns
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Make incremental improvements as needed
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For Developers
Integrate moderation into your application:
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Get Your API Credentials
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Navigate to Organization Settings in your dashboard
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Locate your API Key and Client Secret
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Store these securely (never commit to version control)
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Configure Webhooks
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Register a webhook endpoint URL in your organization settings
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Implement signature verification using your Client Secret
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Test webhook delivery with a sample request
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Understand Authentication
Deep Mod uses cookie-based session authentication. API requests must include credentials:
// Example using fetch const response = await fetch('https://api.deepmod.com/v1/moderate', { method: 'POST', credentials: 'include', // Required for cookie-based auth headers: { 'Content-Type': 'application/json', }, body: JSON.stringify({ policyUri: 'your-policy-uri', content: 'Content to moderate', metadata: { userId: '123', source: 'comments' }, }), }) -
Send Test Requests
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Submit a few test content samples via the API
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Validate that webhook notifications are received correctly
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Verify that response data matches your expectations
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Implement Production Logic
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Ensure your webhook handlers are idempotent and properly logged
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Build error handling and retry logic for failed requests
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Set up monitoring for API performance and error rates
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Key Concepts
Before diving deeper, familiarize yourself with these core concepts:
|
Concept |
Description |
|---|---|
|
Policy |
A collection of rule groups that define your moderation criteria |
|
Rule Group |
A logical grouping of related rules within a policy |
|
Rule |
A specific condition that content is evaluated against |
|
Confidence Threshold |
The minimum confidence level (0.0-1.0) required for a rule violation to count |
|
Review Mode |
Determines whether human review is required (automatic, manual, or hybrid) |
|
Tag |
Labels for organizing and filtering content and policies |
Getting the Most Value
To maximize your success with Deep Mod, start simple and expand gradually. Begin with a focused set of high-priority rules, test thoroughly with real content samples, and add complexity as you understand system behavior. Use our analytics to identify areas for improvement and guide your optimization efforts.
Embrace iteration as content moderation is an evolving challenge. Regularly review and update your policies based on performance data, and stay responsive to changing content patterns and user behavior. The most successful teams treat moderation as an ongoing process rather than a set-and-forget solution.
Leverage both AI and human intelligence effectively by using AI for speed and consistency on clear-cut cases while reserving human review for nuanced situations requiring judgment. Train your team on how to interpret and act on AI recommendations, and create feedback loops that improve both automated and manual processes over time.
What's Next
Ready to get started? Here are your next steps:
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Getting Started Guide - Set up your organization and create your first policy
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Core Concepts - Understand the fundamental building blocks of content moderation
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Using the Dashboard - Learn to navigate and use our web interface effectively
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API Reference - Technical documentation for developers
Whether you're protecting a small community or moderating content at internet scale, DeepMod provides the intelligence, flexibility, and reliability you need to maintain safe, compliant, and engaging user experiences.
Questions or need help getting started? Contact our support team or check out our troubleshooting guide for common issues and solutions.