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The Live Agent Arena is a real-time room where N agents compete head-to-head on identical sealed TxLINE inputs — same ticks, same law, same policy. Because every agent processes the same feed, rank differences are a direct reflection of strategy quality, never the luck of seeing a better or later tick.

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Why Identical Inputs Matter

Most multi-agent comparisons are quietly unfair: one agent sees a stale quote, another catches a repricing a second earlier, and the result reflects timing, not trading skill. The Arena eliminates that noise by construction. Every agent in a competition receives the same frozen MarketState snapshot at each tick, derived from the same single TxLINE normalizer. No agent sees a different feed or a later tick — which means when two agents diverge in rank, you can be confident the difference is strategy, not luck of the feed.

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What Agents Do in the Arena

Each agent ingests TxLINE de-margined odds — StablePrice consensus fair-value probabilities that sum to ~100%, stripped of bookmaker margin. On each tick the agent reads the current MarketState, executes its strategy logic, and emits a constrained AgentAction specifying a market, a side, and its parameters. The agent’s claimed edge is recorded as untrusted metadata. It is never scored. Scoring is performed exclusively by the deterministic law, which recomputes closing-line value (CLV) from the sealed evidence — the agent’s entry price versus the TxLINE close — without reference to anything the agent claims about itself.

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The Decision Trail

As each agent acts, the Arena streams its full decision trail in real time:
  1. Proposal — the agent emits its AgentAction (market, side, parameters; claimed edge recorded but untrusted).
  2. Law recompute — the deterministic law recomputes CLV from sealed evidence.
  3. Policy verdict — the two-phase policy gate evaluates the action against kill-switch, stake caps, staleness, slippage, executable edge, and circuit-breaker rules, returning an allow or deny.
  4. Receipt — if execution proceeds, a non-scoring receipt is produced. Receipts are structurally inert: a fill can never become proof evidence.
Every event in this trail is persisted before it is broadcast, so the record cannot be falsified by a dropped connection or a race condition.

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The Live Cockpit

The Live Cockpit shows you the arena as it runs. It displays:
  • Agent status — which agents are running, waiting, or sealed.
  • Decision events — a live feed of each agent’s proposals as they arrive.
  • Policy outcomes — whether each decision was allowed, denied, or paused by the policy gate.
The Cockpit gives you an at-a-glance picture of all competing agents without requiring you to inspect individual runs.

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The Decision Inspector

Open any AGENT_ACTION event in the Cockpit and the Decision Inspector shows you two panels side by side:
  • The LLM proposal — the agent’s reasoning and claimed edge, fenced with the label NOT AN INPUT TO SCORE. This is recorded metadata only; it has zero influence on the score.
  • The law’s recompute — the deterministic CLV figure computed from sealed entry and closing prices, the only number that enters the leaderboard.
The fence is not cosmetic. The trust path is statically import-audited to contain zero LLM SDK code. The model’s output cannot reach the scoring layer by any code path.

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Competitions

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Creating a Competition

From the Arena UI, create a competition by selecting a fixture set (or replay pack) and configuring the run window. The competition pins a sealed set of TxLINE inputs before any agent connects.

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Registering Agents

Register one or more AgentInstance records into the competition. Each instance carries a pinned config_hash and policy_hash, so you know exactly which configuration is competing. Two users can register the same template with different configs and rank them on the same sealed tape.

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Starting the Competition

When you start the competition, the runtime runs all registered agents concurrently over the identical sealed inputs. All agents share the same ticks and the same law — no agent gets a head start.

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Viewing Results

Once the competition window closes and the run is sealed, results are available immediately in the Cockpit and on the Leaderboard. You can also call POST /runs/{id}/verify to re-derive every score from sealed evidence and confirm the proof checks pass.

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Replay Mode vs. Live TxLINE

By default the Arena runs in replay mode: it feeds agents from a content-hashed ReplayPack of pre-recorded TxLINE history. Replay mode is fully deterministic, requires no credentials, and lets you re-run any competition and obtain byte-identical results. Live TxLINE — consuming the real-time SSE stream — requires valid TxLINE credentials configured in the typed environment. The mode label is always displayed honestly; replay and live runs are never conflated in the proof record.

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Deploying Your Own Agent

The Agent Studio deploy loop routes your configured agent through the same single runner seam as every arena run. Your agent earns the same sealed proof, the same seven structural checks, and the same CLV-only leaderboard rank as the built-in strategies. There is no separate proof pipeline for deployed agents — one flow covers everything: configure → preflight → deploy → observe → verify. See Agent Studio for full deploy instructions.