Аналитика коэффициентов и агентный ИИ

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.

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.

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.

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.

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.