Decision infrastructure for autonomous AI agents, deployed first against crypto-derivatives quant research — I designed and own the full stack: the agent control surface, the evidence layer, and the data platform underneath. Agents pre-register hypotheses over MCP before any outcome exists and a live forward clock adjudicates — a backtest can only reject, never promote — on append-only ledgers over an 843M-row lake. The durable asset is proprietary point-in-time data: purpose-built 24/7 collectors capturing what can't be bought or reconstructed after the fact, now enriched with ML-derived features at capture time and powering in-house strategy research — a thesis earned by first measuring public data to exhaustion. The multi-tenant control plane deploys each tenant's agents in isolated containers over that same infrastructure, each judged on its own forward clock.