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Core Concepts

Markets, tokens, resolution, and reputation tiers — the primitives behind AGON.

Markets

  • Binary prediction markets with YES/NO outcomes
  • CPMM AMM: price = shares_YES / (shares_YES + shares_NO)
  • USDC as collateral (6 decimals). Min trade: 1 USDC
  • Markets resolve to 0 (NO) or 1 (YES) at expiry

CPMM pricing formula

The on-chain AMM uses a Constant Product Market Maker. The FixedPointMath.getYesPrice() library function computes the YES price as:

price_YES = noReserve / (yesReserve + noReserve)

This is the standard constant-product formula applied to a two-outcome market. When demand for YES tokens increases, yesReserve decreases (tokens leave the pool) and noReserve increases (collateral enters), pushing price_YES up. The NO price is always 1 - price_YES.

Worked example

A market starts with 1 000 USDC of liquidity split 50/50:

StateyesReservenoReserveprice_YES
Initial5005000.50

Alice wants to buy YES with 100 USDC. After the dynamic fee is deducted (assume roughly 0.50 USDC at this pool depth), her net input is ~99.50 USDC. The AMM applies the constant-product swap formula (FixedPointMath.getAmountOut):

tokensOut = (netInput * yesReserve) / (noReserve + netInput)
         = (99.50 * 500) / (500 + 99.50)
         ≈ 83.0 YES tokens

After the trade the reserves shift:

StateyesReservenoReserveprice_YES
After Alice buys YES417599.50~0.59

Alice received 83 YES tokens. If the market resolves YES, each token redeems for 1 USDC -- she profits ~83 - 100 = net depends on resolution. If it resolves NO, her YES tokens are worth zero.

Slippage and price impact

Because the pool is finite, larger trades move the price more. The ConditionalTokens contract enforces a maximum price impact of 10% per trade (MAX_PRICE_IMPACT_PCT = 1000 bps) and a maximum trade cap that varies by pool depth:

Pool depthMax trade (% of pool)Base feeDynamic fee multiplier
Large (>= 50k USDC)10%25 bps2x
Medium (>= 10k USDC)5%governance feeBpsgovernance dynamicFeeMultiplier
Small (>= 1k USDC)5%75 bps6x
Micro (< 1k USDC)5%100 bps6x

The dynamic fee scales linearly from the base fee up to base * multiplier as the trade size approaches the cap. This protects LPs from large single-trade impermanent loss while keeping fees low for small trades.

An anti-sandwich mechanism enforces a 1-block cooldown per wallet per market, preventing MEV bots from front-running user trades within the same block.

Tokens

  • ERC-1155 tokens: tokenId = marketId * 2 (YES), marketId * 2 + 1 (NO)
  • 1 YES + 1 NO = 1 USDC at resolution (always redeemable)
  • Tokens are fungible within a market — no NFT mechanics
  • ConditionalTokens contract handles minting and redemption

Token ID scheme

The ConditionalTokens contract derives token IDs deterministically from the market ID:

function yesTokenId(uint256 marketId) public pure returns (uint256) {
    return marketId * 2;
}

function noTokenId(uint256 marketId) public pure returns (uint256) {
    return marketId * 2 + 1;
}

For example, market 7 has YES token ID 14 and NO token ID 15. This scheme guarantees unique, collision-free token IDs across all markets within a single ERC-1155 contract.

Redemption invariant

The fundamental invariant is: 1 YES + 1 NO = 1 USDC. This holds because:

  • splitPosition(marketId, amount) deposits amount USDC and mints equal quantities of YES and NO tokens.
  • mergePositions(marketId, amount) burns equal quantities of YES and NO tokens and returns amount USDC.
  • After resolution, only the winning side redeems at 1:1. redeemPositions(marketId) burns the winning tokens and pays out their full balance in USDC. If the outcome is INVALID, both sides redeem at face value (refund).

This invariant means the system is always fully collateralized. The total USDC held by the contract equals the total supply of either token type for each market.

Resolution

  • AI Oracle: multi-LLM concordance (Claude Haiku + Gemini 2.0 Flash + GPT-4o)
  • Resolves in <60s for supported event types
  • Requires 2/3 LLM agreement + confidence ≥ 0.80
  • OracleDAO fallback for disputed or ambiguous markets

For details on the concordance algorithm, validator mechanics, and edge signal generation, see AI Oracle.

Reputation Tiers

  • F (REKT) → D (ROOKIE) → C (ACTIVE) → B (RANKED) → A (ELITE) → S (APEX)
  • Tier determined by cumulative PnL and prediction accuracy
  • Tier unlocks arenas, higher API rate limits, and cosmetics
  • Tiers reset seasonally — earned, never bought

How tiers are computed

The trader_score worker runs every 6 hours. It evaluates all wallets with at least 5 trades and computes a composite copy_score that factors in real PnL, ROI, win rate, profit factor, Sharpe ratio, Sortino ratio, max drawdown, and consistency. Wallets are then ranked by copy_score and assigned tiers based on percentile:

TierPercentileLabel
STop 1%APEX
ATop 5%ELITE
BTop 15%RANKED
CTop 35%ACTIVE
DRemaining with PnL >= 0ROOKIE
FNegative PnLREKT

Tiers are stored in the trader_scores table and surfaced via the API leaderboard. Higher tiers unlock access to competitive arenas, increased API rate limits, and seasonal cosmetic rewards.

On-chain, staking AGON in ReputationStaking.sol provides a fee distribution boost (10-30% depending on stake amount). Staking at least 100 000 AGON grants guaranteed APEX league entry regardless of the off-chain percentile tier.

Where to next

AI Oracle

Multi-LLM concordance algorithm, validator mechanics, and edge signals.

Smart Contracts

On-chain contract architecture and key entry points.

On this page

MarketsCPMM pricing formulaWorked exampleSlippage and price impactTokensToken ID schemeRedemption invariantResolutionReputation TiersHow tiers are computedWhere to next
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