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Getgud.io

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πŸ’¬814
πŸ’²Paid

Getgud.io safeguards online FPS games by using AI to detect cheating and toxic behavior. It enables developers to monitor gameplay, manage player conduct automatically, and gain insights for better engagement and game balance.

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Platform
web
AIAnti-cheatFPS gamesGame analyticsGame observabilityGriefing detectionMatchmaking

What is Getgud.io?

Getgud.io is a platform that helps protect online FPS games from cheaters and griefers, creating a safe and toxic-free environment to improve player retention. It transforms gameplay data into targeted campaigns, boosts player engagement, analyzes in-match behavior, optimizes matchmaking, and ensures fair play, all within a single platform. Getgud.io provides complete observability on game and players without requiring any client-side installations.

Core Technologies

  • Artificial Intelligence
  • Gameplay Data Analysis
  • Server-Side Integration
  • Behavioral Detection Models

Key Capabilities

  • AI-powered cheat detection
  • Player segmentation and campaign management
  • Match replay analysis
  • Toxicity scoring
  • Automated player actions

Use Cases

  • Detecting aim-botting and wall-hacking
  • Managing player bans based on toxic scores
  • Optimizing matchmaking with behavioral data
  • Re-engaging churned players with personalized campaigns
  • Balancing weapons and characters through usage analytics

Core Benefits

  • Improved player retention
  • Reduced toxicity and cheating
  • Actionable gameplay insights
  • No performance impact on clients
  • Flexible automation of moderation tasks

Key Features

  • AI-powered cheat and grief detection
  • Gameplay data analysis and visualization
  • Automated player management with rules and webhooks
  • Match replay and in-match behavior analysis
  • Customizable filters for data streaming
  • Player segmentation and campaign management
  • Toxic score assignment

How to Use

  1. 1
    Connect your game server to stream match data
  2. 2
    Use the dashboard to query players and matches
  3. 3
    Define rules and webhooks for automated actions
  4. 4
    Analyze match replays to identify cheating
  5. 5
    Set thresholds and responses for toxic behavior

Pricing Plans

Developer

$50/mo
Billed monthly with default pre-paid data streaming allowance, includes all features. Includes 5 GB of streamed data (~1,000 MAU)

Team

$250/mo
Billed monthly with default pre-paid data streaming allowance, includes all features. Includes 30 GB of streamed data (~6,000 MAU)

Studio

$500/mo
Billed monthly with default pre-paid data streaming allowance, includes all features. Includes 70 GB of streamed data (~15,000 MAU)

Enterprise

Let’s talk
Billed monthly with default pre-paid data streaming allowance, includes all features. Includes Unlimited GB (Unlimited MAU)

Frequently Asked Questions

Q.What types of games does Getgud.io support?

A.Getgud.io supports any game with a 2.5/3D environment such as FPS and MOBA games, including battle royales, tactical shooters, and simulators.

Q.Does Getgud.io affect game performance?

A.No, it's a server-side solution that uses existing server data without requiring client installation, so it doesn't degrade performance.

Q.How does Getgud.io detect toxic behavior?

A.It autonomously analyzes in-match behavior to detect griefers and cheaters like aim-botters, wall-hackers, and campers.

Q.Can I control how toxic players are handled?

A.Yes, you can set tolerance levels and choose actions like automatic bans, shadow bans, or warnings.

Q.Is there a limit on data processing?

A.Each plan includes a specific amount of streamed data, with an enterprise option offering unlimited capacity.

Pros & Cons (Reserved)

βœ“ Pros

  • Improves player retention with safer environments
  • Reduces toxicity and cheating
  • Provides actionable gameplay insights
  • Automates player management
  • No client-side installation needed
  • Highly customizable and flexible

βœ— Cons

  • Requires server integration
  • Pricing depends on data volume
  • Detection accuracy relies on AI models
  • Potential false positives in cheat detection

Alternatives

No alternatives found.