博客
赔率智能与自主式 AI 洞察
关于赔率质量、de-vig 方法论、自主式 AI 基础设施以及体育博彩中机器对机器通信未来的技术洞察。
Odds Intelligence
8 minWhy Sportsbooks Need an AI Quality Layer
Most sportsbooks measure everything except the quality of their core product — odds. An AI quality layer changes that by providing continuous, automated quality measurement of every line.
2026年1月15日阅读文章 →
Methodology
10 minShin De-Vig: How We Strip Bookmaker Margins to Find Fair Value
Not all de-vig methods are equal. We use Shin de-vig because it handles the favourite-longshot bias that simpler methods ignore — and every downstream calculation depends on getting this right.
2026年1月22日阅读文章 →
Agentic AI
11 minFrom APIs to Agents: The A2A Protocol for Sports Betting
APIs made data programmable. The Agent-to-Agent protocol makes decisions programmable. A2A enables autonomous agents to communicate, verify, and negotiate in the sports betting ecosystem.
2026年2月5日阅读文章 →
Trust Infrastructure
9 minTrust Is Computed: Building the Agent Reputation Network
In an AI agent ecosystem, trust cannot be declared — it must be computed from observed behavior. The Agent Reputation Network scores every agent across five dimensions.
2026年2月12日阅读文章 →
Audit Insights
7 minWhat We Found Auditing 50+ Bookmakers
After 50+ audits across Europe, Asia, and North America, certain patterns are no longer anecdotal. Lower-tier leagues have more quality issues, in-play odds have higher anomaly rates, and most operators overestimate their odds quality.
2026年2月19日阅读文章 →
