Architecture
Kalshi's Death Carveout Broke the Contract Between Platform and Trader. Here's What Agent Builders Need to Learn From It.
Kalshi's $54M Khamenei market exposed a critical risk for automated trading: resolution rules can contradict trader expectations in ways that destroy bot profitability. We break down what happened, why it matters for agent architecture, and how to build resolution risk into your trading logic.
Read →DraftKings Super App: What the Sports & Casino Merger Means for AI Betting Agents
DraftKings merges sports betting and casino into one super app. Here's what it means for AI betting agents and API automation.
Read → Layer 2 — WalletCoinbase x402 Protocol Explained: How It Powers AI Betting Agents and Autonomous Payments
How the Coinbase x402 protocol enables AI betting agents to make autonomous payments without human approval loops.
Read → All LayersHow to Build a Prediction Market Agent People Will Pay For
Build prediction market agents buyers want. Architecture, strategy selection, trust infrastructure, testing, packaging, and distribution.
Read → All LayersThe Agent Betting Stack Explained
Technical overview of the four-layer agent betting stack: Identity, Wallet, Trading, and Intelligence for prediction markets.
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