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Reputation Market Mechanics
Unlike traditional reputation systems where scores are assigned by a central authority, this system treats **reputation as a market-priced asset**.
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Unlike traditional reputation systems where scores are assigned by a central authority, this system treats **reputation as a market-priced asset**.
**Key insight:** Market prices aggregate information from all participants, making them more accurate than any single rater.
| Field | Type | Description | |-------|------|-------------| | `domainScores` | Map | Per-domain competence (0-1) | | `portfolio` | Portfolio | Balance, positions, staked credits | | `predictionAccuracy` | float | How well they predict others | | `tradingHistory` | Trade[] | Historical transactions |
**Matching rules:** 1. Buy order matches if `buyPrice >= lowestAsk` 2. Execution price = existing order's price (price-time priority) 3. Partial fills allowed
**Example:** - Total pool: 120 credits - Success pool: 90 credits - Your bet: 50 on SUCCESS - Outcome: SUCCESS - **Payout:** (50/90) × 120 = 66.67 credits - **Profit:** 66.67 - 50 = +16.67 credits
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