Blog
Odds Intelligence & Agentic AI Insights
Technical insights on odds quality, de-vig methodology, agentic AI infrastructure, and the future of machine-to-machine communication in sports betting.
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.
January 15, 2026Read article →
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.
January 22, 2026Read article →
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.
February 5, 2026Read article →
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.
February 12, 2026Read article →
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.
February 19, 2026Read article →
