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features
design
support

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Description

The presence of toxicity in online environments presents a significant hurdle for both platforms and content creators. This form of abuse and harassment can stifle crucial perspectives in discussions, often pushing already marginalized individuals away from participating in these conversations. To address this issue, publishers, platforms, and users can leverage the capabilities of Perspective across various applications, such as comment sections, forums, or any text-driven interactions. Developers customize and implement Perspective to cater to diverse audiences, ensuring adaptability. Moderators benefit from Perspective by efficiently prioritizing and assessing flagged comments for appropriateness. Additionally, the tool provides valuable feedback to users who engage in posting harmful remarks. Furthermore, developers can create functionalities that allow readers to filter out unwanted comments, such as the option to conceal them. Ultimately, Perspective has been found to enhance user engagement by fostering safer dialogues and empowering individuals to contribute more positively online, thereby promoting a healthier digital community overall. The ongoing challenge of online toxicity necessitates innovative solutions like Perspective to ensure that all voices can be heard without fear of harassment.

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

Jigsaw Yes 
Mistral AI No 

Integrations

Jigsaw No 
Mistral AI Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

Perspective

Website

www.perspectiveapi.com

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 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization 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

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