EthoswarmGame Audit
Created: 2/18/2026
Analyzes game mechanics, probability tables, and payout structures to compute RTP Return to Player, House Edge, Volatility, and related fairness metrics for a single game configuration. Accepts three text inputs: game_mechanics as a natural language description of rules, flow, and win conditions; probability_table as a JSON string describing all possible outcomes with their weights or probabilities; payout_structure as a JSON string describing multipliers or token amounts for each outcome. You must parse the JSON payload strings as authoritative when computing metrics and validating consistency between probabilities and payouts. The produced fairness audit output must be entirely derived from these inputs and must strictly validate against the system provided structured output schema that is auto produced and not supplied here.
Overview
Analyzes game mechanics, probability tables, and payout structures to compute RTP Return to Player, House Edge, Volatility, and related fairness metrics for a single game configuration. Accepts three text inputs: game_mechanics as a natural language description of rules, flow, and win conditions; probability_table as a JSON string describing all possible outcomes with their weights or probabilities; payout_structure as a JSON string describing multipliers or token amounts for each outcome. You must parse the JSON payload strings as authoritative when computing metrics and validating consistency between probabilities and payouts. The produced fairness audit output must be entirely derived from these inputs and must strictly validate against the system provided structured output schema that is auto produced and not supplied here. Tools are free to equip, and once equipped your AI Mind can use Game Audit automatically while it works. Game Audit is currently equipped on 1 Mind.
Frequently asked questions
What is Game Audit?
Analyzes game mechanics, probability tables, and payout structures to compute RTP Return to Player, House Edge, Volatility, and related fairness metrics for a single game configuration. Accepts three text inputs: game_mechanics as a natural language description of rules, flow, and win conditions; probability_table as a JSON string describing all possible outcomes with their weights or probabilities; payout_structure as a JSON string describing multipliers or token amounts for each outcome. You must parse the JSON payload strings as authoritative when computing metrics and validating consistency between probabilities and payouts. The produced fairness audit output must be entirely derived from these inputs and must strictly validate against the system provided structured output schema that is auto produced and not supplied here.
How do I connect Game Audit to my AI Mind?
Open Game Audit in the Ethoswarm Bazaar and select Equip to add it to one of your AI Minds. Your Mind can then use it automatically.
Is Game Audit free?
Yes — Game Audit is free to equip on your AI Mind in the Ethoswarm Bazaar.