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Description

The OpenAI Moderation API offers developers a specialized endpoint that facilitates the automatic assessment of text and images for potentially harmful or policy-violating content, thereby promoting safer AI implementations through real-time classification and filtering. It functions by examining both inputs and, if desired, outputs, providing structured feedback that shows whether the content has been flagged, along with comprehensive category labels like hate speech, harassment, self-harm, sexual content, or violence. This API is intended for seamless integration into application workflows, empowering developers to take prompt measures, such as blocking, filtering, or escalating content, before it reaches the end users. Moderation models, such as “omni-moderation-latest,” are fine-tuned for both speed and precision, enabling scalable use in high-traffic applications while ensuring uniform safety standards. By utilizing such a robust moderation tool, developers can enhance user experience and confidence in their platforms.

Description

Shieldstral is an innovative multimodal safety classifier with a 3B parameter open-weight structure, adept at assessing text, images, and combined text-plus-image content based on dynamically defined policies during inference. Rather than adhering to a static set of harm categories, it approaches moderation as a binary question-and-answer format: users submit a contextual instruction outlining the evaluation criteria and strictness, pose a yes-or-no safety inquiry, and present the content for assessment. The model processes the “yes” and “no” logits to generate a continuous, calibrated safety score, enabling applications to prioritize or rank outcomes based on confidence levels instead of relying on a single categorical label. This design effectively integrates prompt classification, response moderation, refusal detection, toxicity assessment, and multimodal safety evaluation into a singular interface, empowering teams to modify policies without the need for model retraining. Shieldstral's versatility allows it to analyze prompts, responses, pairs of prompts and responses, images, and images paired with text, making it a comprehensive tool for safety evaluation. As such, it represents a significant advancement in the field of content moderation.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Mistral AI No 
OpenAI Yes 

Integrations

Mistral AI Yes 
OpenAI No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

developers.openai.com/api/docs/guides/moderation

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

mistral.ai/news/shieldstral/

Product Features

Content Moderation

Artificial Intelligence No 
Audio Moderation No 
Brand Moderation No 
Comment Moderation No 
Customizable Filters No 
Image Moderation No 
Moderation by Humans No 
Reporting / Analytics No 
Social Media Moderation No 
User-Generated Content (UGC) Moderation No 
Video Moderation No 

Product Features

Content Moderation

Artificial Intelligence No 
Audio Moderation No 
Brand Moderation No 
Comment Moderation No 
Customizable Filters No 
Image Moderation No 
Moderation by Humans No 
Reporting / Analytics No 
Social Media Moderation No 
User-Generated Content (UGC) Moderation No 
Video Moderation No 

Alternatives

Alternatives