Mandate builder · dry-run preview
Adjust the four policy knobs, then dry-run against the canonical France–Sweden fixture. No account, no wallet, no execution.
Minimum edge?Smallest edge (AI fair − market) the agent will act on. Below this, PASS.5.0%
Max allocation?Kelly-sized cap per decision. Even if Kelly says 10%, the agent won’t exceed this.3.0%
Tail-loss limit?If simulated loss probability exceeds this, the agent PASSes regardless of edge.75.0%
Monte Carlo paths?Seeded simulation count. Higher = tighter intervals, slower dry-run.10,000
No execution · no wallet
Run a dry-run to see the verdict.
Mandate ControlAgent offline
replay clock —·cold start
VPS telemetry · replay-only
Autonomous Historical Lab
Persistent agent replays evidence in time order; proof revealed after settlement.
Autonomous decision ledger
Every recommendation has a receipt.
Each receipt binds evidence, policy, simulation, and a recomputable hash — a refusal is as auditable as a trade.
Observe
Polymarket + Kalshi
Decide
policy gates + seeded Monte Carlo
Prove
hash-bound receipt, replayable
Loading decision receipts…
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