Moderate Kit

ModerateKit automates the moderation, reviewing, and processing of user-generated content for Gainsight communities, Slack, and Discord. It saves time, improves quality and engagement, and reduces the operating cost of self-serve communities. It offers features like topic and reply moderation, optimization, and an auto-reply bot.

ModerateKit integrates with platforms like Gainsight, Slack, and Discord via Zapier. It uses API endpoints to process and update posts, moderating content based on community guidelines and internal knowledge. Users can customize moderation rules and train the Auto-Reply Bot with company-specific information.

Via Zapier, ModerateKit currently works across Gainsight Customer Communities, Slack, Discord, and Airtable, as well as No-Code Platforms such as Softr, Bubble, and Webflow via our Airtable integration. We are hard at work on other integrations including Facebook Groups, Zendesk, Discourse, Discord, Slack, Wordpress, Whatsapp Communites; Data Sources such as: Google Sheets, SmartSuite and Hubspot, along with other no-code platforms such as Sharetribe, we will also be releasing a standalone API.

We do not retain or store any of the data we processed in away way. Once we have processed any post, the data is then sent to Airtable or Gainsight CC where it is stored and controlled by you.

The /process and /update API endpoints allow you to send a post for moderation, review, improvement, and update the post in Gainsight. Detailed explanation is provided in the documentation.

Content moderation is the process of monitoring, reviewing, and managing user-generated content on online platforms to ensure it adheres to community guidelines and legal requirements. It involves detecting and removing harmful, inappropriate, or illegal content.

Content moderation is crucial for maintaining a safe and respectful online environment. It helps prevent the spread of harmful content, protects users from exposure to offensive material, and upholds the reputation of the platform or brand.

Content moderation typically involves a combination of automated tools and human moderators. Automated tools can detect and flag content based on predefined rules, while human moderators review flagged content and make final decisions about whether it should be removed or allowed.