๐Ÿค–
BribeAI Docs
  • ๐Ÿ‘‹Introduction
  • ๐Ÿ€BribeAI - The Genesis
  • ๐ŸŽ‚BribeAI - Evolution
  • โš—๏ธAnalysis of Past Launches
    • ๐Ÿค–Using the Bot
    • ๐Ÿ‘จโ€๐ŸซBot messages
    • โšกFast Mode
    • ๐Ÿ•ต๏ธAnalytic Mode
  • ๐Ÿ‘ฉโ€๐Ÿš€BRIBE ASSISTANCE
    • ๐ŸคBribeAI Assistance overview
    • ๐Ÿ”ฎHow to use BribeAI assistance
    • ๐ŸŸขDisclaimer
  • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘Group Bot
    • ๐ŸŽGroup Bot - Bundle Checker
    • ๐ŸŽ‰Group Bot - Bribe Scan
    • ๐Ÿ–ฅ๏ธGroup Bot - Admin features
  • ๐ŸŽฏCHANNELS
    • ๐Ÿ“ฆBribeAI Bundle Launch Detector
    • ๐Ÿ”BribeAI Preapprovers bot
  • ๐Ÿ“ฃADS
    • โœ…Advertising on BribeAI
  • ๐Ÿ”ผAds Disclaimer
  • โš™๏ธGENERAL
    • ๐Ÿ“„FAQ
    • ๐Ÿ”—Useful Links
    • ๐Ÿ—บ๏ธRoadmap
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  • ๐Ÿ–ฅ Data collection
  • ๐Ÿงน Data cleaning
  • ๐Ÿง  AI at work
  • ๐ŸŽฏ AI prediction accuracy
  • โš ๏ธFactors not considered in the model
  1. BRIBE ASSISTANCE

BribeAI Assistance overview

Our bribe assistance feature is unique and allows snipers to estimate their tip for new token launches based on data collected by BribeAI Bot.

PreviousAnalytic ModeNextHow to use BribeAI assistance

Last updated 1 year ago

๐Ÿ–ฅ Data collection

BribeAI Bot is storing the data of past launches in our own database. This cumulated data is used by the AI tool to find common patterns and provide the best possible estimate.

๐Ÿงน Data cleaning

In order to get more efficient predictions, the outliers (e.g. huge bribes from teams) from the collected data are removed and the cleaned data is then processed.

๐Ÿง  AI at work

Our cleaned data is processed by AI and the BribeAI Neural Network is retrained on a weekly basis. The AI tool is trained to find common data patterns from our cleaned database, allowing BribeAI Bot to provide tip estimates.

๐ŸŽฏ AI prediction accuracy

The accuracy of the prediction is tested after every weekly retraining using the Pareto principle.

  1. Patterns to predict the most efficient tips are identified using 80% of our data.

  2. AI predicts the most efficient tips on the remaining 20% of the data.

  3. AI compares the predicted most efficient tips vs the real most efficient tips.

  4. Here below you can find the performance of our trained model.

โš ๏ธFactors not considered in the model

Our model predicts its outcome based on quantitative data from past launches. There are qualitative factors such as hype of the project, insider sniping etc. that are not considered in the computation of the estimated best efficient bribe.

Keep in mind these factors when deciding the final bribe for your next snipe.

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Regression Summary of BribeAI Assistance