> ## Documentation Index
> Fetch the complete documentation index at: https://docs.seekr.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Content moderation
> Evaluate text safety and brand risk with specialized moderation models.
export const SupportedOn = ({ui = false, api = true, sdk = true}) => ;
Content moderation provides access to specialized models for evaluating text safety and brand risk. These models classify content across various safety categories, supporting use cases from general-purpose text moderation to domain-specific brand safety assessment.
## Available models
SeekrFlow provides multiple content moderation models for different content types and contexts:
### Seekr ContentGuard
ContentGuard is a purpose-built model for podcast transcript analysis. It evaluates diarized audio chunks for brand safety risk and civility scores.
**Classification types:**
* GARM brand safety (13 categories)
* Civility and hostility scoring
**Best for:** Podcast content moderation, brand safety assessment for spoken audio content
### Meta Llama Guard 3
Llama Guard 3 is a general-purpose text moderation model supporting all content types. It classifies text using the MLCommons 22-category taxonomy.
**Classification types:**
* Safe/unsafe binary classification
* MLCommons taxonomy (22 categories)
**Best for:** LLM output filtering, agent guardrails, general text moderation
## Use cases
Content moderation supports several workflows:
**LLM guardrails** – Filter agent outputs and user inputs for safety violations
**Brand safety** – Assess content suitability for brand association and advertising
**Compliance** – Screen content for regulatory requirements and platform policies
**User protection** – Detect harmful content in user-generated text
## Model selection
Choose models based on content type and classification needs:
| Content type | Recommended model |
| -------------------- | ------------------ |
| Podcast transcripts | Seekr ContentGuard |
| LLM outputs | Meta Llama Guard 3 |
| User-generated text | Meta Llama Guard 3 |
| Brand safety scoring | Seekr ContentGuard |
## Integration
Content moderation models are deployed as endpoints and accessed through the SeekrFlow API. Models accept text input and return classification results with category labels and confidence scores.