Your Gainsight Customer Community
on Auto-Pilot!
Automates repetitive administration and moderation workflows and save your Community Managers 100s of hours every month with ModerateKit.
Trusted by leading communities
The community platform fallacy, it is never truly Self Serve
A self-serve community will reduce our customer support!
We need to hire more people to moderate our community
But isnt the community supposed to be self-serve?
The whole CX team grows and so does your budget...
Save 100s of hours each month by automating repetitive community task, on Gainsight, Slack or Discord
Your Gainsight Community,
now withโจAIโจ
- Our moderation tools triage, review all posts. Then approve, mark as spam or trash based on your specific Community Guidelines. You can even give ModerateKit your internal guidelines or edge cases for moderation. On top of your Community Rules or Code of Conduct, ModerateKit adds additional moderation for spam, NSFW and other abuse detection, such as; unwanted commercial or advertising type posts.
- ModerateKit will optimize your community topics and replies to improve quality of the content improving layout, spelling, grammar and auto-translations for non-English content.
- Our Auto-Reply Bot, currently in beta can reply to posts on your community. You supply the Bot with company and product โKnowledgeโ, this gives the bot context to help with answering questions asked across your community.
Pricing
ModerateKit AUTOMATE: Fast and Efficient Moderation
Full Price When Early Access Ends!
$1999
$499
USD
- 1000 Topics and Replies Moderated Monthly
- Topic and Reply Moderation
- Topic and Reply Optimization
- Auto-Reply Bot
- Zapier Integration
- 1-1 Onboarding and Setup
- Priority Support
- Topic and Reply Translations (Coming Soon)
- Community Health Analytics (Coming Soon)
- Team Account (Coming Soon)
- SSO (Coming Soon)
- SOC2 (Coming Soon)
ModerateKit AGENT: Expert Moderation & Advanced Reasoning
Full Price When Early Access Ends!
$7999
$2999
USD
- 1000 Topics and Replies Moderated Monthly
- Fully automated Community Management, able to reason and moderate exactly like a human
- Topic and Reply Moderation Optimization
- Auto-Reply Bot
- Zapier Integration
- 1-1 Onboarding and Setup
- Priority Support
- Topic and Reply Translations (Coming Soon)
- Community Health Analytics (Coming Soon)
- Team Account (Coming Soon)
- SSO (Coming Soon)
- SOC2 (Coming Soon)
FAQ
Frequently Asked Questions
- Via Zapier we currently work across Gainsight Customer Communities, Slack, Discord and Airtable and No-Code Platforms such as Softr, Bubble and Webflow via our Airtable intergration. We are hard at work on other intergrations 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.
- Yes! You can sign up to the Waiting List or reach out to us on X, Linkedin or Email.
- Topic Moderation
- Topic Optimization
- Code of Conduct, Spam & NSFW Detection
- Reply Moderation
- Auto-Reply Bot- 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.
NEEDS TO NOW BE UPDATED for v0.04. The
/process
and/update
API endpoints allow you to send a post for moderation, review, improvement, and update the post in Gainsight. Here is a detailed explanation of how to use them:Endpoint:
POST /api/process
Headers:
X-API-Key
: Your API key obtained from your Moderate Kit account.Content-Type
:application/json
Authorization
: Bearer token for authenticating with Gainsight.
Body: The request body should be a JSON object with the following fields:
{ "post_topic": "Sample Topic", "post_title": "Sample Title", "post_description": "Sample Description", "post_tags": "tag1, tag2", "code_of_conduct": "Community Code of Conduct", "record_id": "record_id", "post_category": "Sample Category", "predetermined_topics": "topic1, topic2", "predetermined_categories": "category1, category2", "predetermined_tags": "tag1, tag2" }
Response: The API will return the updated post data after moderation.
{ "record_id": "record_id", "topic": "Improved Topic", "title": "Improved Title", "description": "Improved Description", "category": "Improved Category", "tags": "tag1, tag2", "moderation_status_title": {...}, "moderation_score_title": 0, "moderation_evaluation_title": "Evaluation details", "moderation_status_description": {...}, "moderation_score_description": 0, "moderation_evaluation_description": "Evaluation details", "combined_scores": {...}, "combined_overall_score": 0, "url_evaluations": [...], "moderator_labels": "Moderation by ModerateKit v0.05: Approved, Moderated at: timestamp", "moderator_tags": "tag1, tag2, PII", "moderation_status": "Approve/Mark as Spam/Trash" }
Endpoint:
POST /api/update
Headers:
X-API-Key
: Your API key obtained from your Moderate Kit account.Content-Type
:application/json
Authorization
: Bearer token for authenticating with Gainsight.
Body: The request body should be a JSON object with the following fields:
{ "record_id": "record_id", "topic": "Improved Topic", "title": "Improved Title", "description": "Improved Description", "category": "Improved Category", "tags": "tag1, tag2", "moderation_status": "Approve/Mark as Spam/Trash", "moderator_labels": "Moderation by ModerateKit v0.1: Approved, Moderated at: timestamp", "moderator_tags": "tag1, tag2, PII", "moderation_status_title": {...}, "moderation_score_title": 0, "moderation_evaluation_title": "Evaluation details", "moderation_status_description": {...}, "moderation_score_description": 0, "moderation_evaluation_description": "Evaluation details", "combined_scores": {...}, "combined_overall_score": 0, "url_evaluations": [...] }
Response: The API will return a success message upon updating the Gainsight record.
{ "status": "success", "message": "Gainsight record updated successfully" }
- Yes, if you login you will have access to more detailed documentation covering; general How To, our Zapier integration, current ModerateKit features, our roadmap and current limitations.
ModerateKit Roadmap
May 2024 v0.01 [SHIPPED]
Rollout of Topic Moderation and Zapier Integration
June 2024 v0.02 [SHIPPED]
Reply Moderation via Zapier Integration
July v0.03 [SHIPPED]
Auto-Reply Bot (BETA)
Sept 2024 v0.04 [SHIPPED]
ModerateKit now supports multiple Public Tags and Moderation Labels!
Q4 2024 v0.05 [SHIPPED]
Improvements to optimisations for Category, Tags and Spam.
Q4 2024 v0.06 [IN DEVELOPMENT]
Stadalone Gainsight Integration
Q4 2024 v0.07+ [BACKLOG]
Ideas Moderation, and In-line Translations, Automate Best Answer, Role-Based Moderation, Moderation of Edits to Topics, Auto-Reply Bot improvements
2025 [PLANNED]
Slack Integration, Discord Integration, Community Health Analytics, Claude 3.5, Llama 3, API, Email Analytics Digest, Malware, Misinformation and AI Detection and more
- Cool, reach out to us on X, Linkedin or Email.
- 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.
- Moderating user-generated content can be challenging due to the sheer volume of content, the need to balance freedom of expression with the enforcement of guidelines, and the difficulty in detecting nuanced issues like sarcasm or context-dependent meaning.
- Effective content moderation can positively impact brand reputation by ensuring that harmful or offensive content is not associated with the brand. Conversely, poor moderation can lead to public backlash, loss of trust, and damage to the brands image.
- Best practices for effective content moderation include using a mix of automated and human moderation, clearly defining and communicating community guidelines, providing adequate training for moderators, and continuously reviewing and updating moderation policies to adapt to emerging challenges.