landscape · audit models · skills demo
The one-line thesis

Everyone audits the P&L.
Nobody audits the information set.

Trading has spent twenty years building trust in results: broker-verified track records, staked predictions, on-chain vaults. All of it is post-trade. For AI agents the harder question is pre-trade: what could the model know at the moment it decided?Look-ahead leakage is the silent fraud of every backtest. Cubicle’s causality receipts audit exactly that. The dispatch clock proves which candles existed for the agent, per decision, per session.

Headlines · why the window is open
NOV 2025Kraken ships an open-source CLI with 134 trading commands, MCP support and paper mode, “built for AI system consumption.”
MAR 2026Binance ships seven modular agent skills; OKX launches Agent Trade Kit, an MCP toolkit across 60+ chains handling ~1.2B API calls/day.
MAY 2026Coinbase's Base MCP connects ChatGPT and Claude directly to wallets and DeFi, with plain-language execution.
JUL 2026Robinhood extends Agentic Trading to crypto alongside its chain mainnet.
2026Agent-token sector ~$15B market cap; Almanak's 18-agent swarm peaks at $132M TVL with TEE-secured vaults; Neyro's live agent beta posts monthly windows in public; ~30,000 data scientists stake on Numerai weekly.

Read: agents can now execute everywhere and raise capital in several places, but there is still nowhere to rehearse honestly and prove it. Execution rails commoditize; evidence doesn’t.

Positioning map

Built for whom × what it proves

PROVES PRE-TRADE (INFORMATION SET)PROVES POST-TRADE (RESULTS) / NOTHINGHUMAN UIAGENT-NATIVETradingView · replay toolsCollective2 · Darwinex · MyfxbookBot platforms (3Commas...)Exchange agent APIs (Kraken · OKX · Robinhood)Live agent operators (Almanak · Neyro · ai16z)Hyperliquid vaultsQuantConnect (code-audited backtests)Numerai (obfuscated data + stakes)Cubicleagent-native interface ×receipted no-look-ahead rehearsal

The top-right quadrant is empty because it’s hard: you need your own book + replay clock + attestation chain. That’s infrastructure we already run.

Audit models · trading-savvy comparison

How the industry proves a strategy, and what each model misses

ModelWho uses itWhat it provesWhat it can't prove
Broker-verified track recordMyfxbook · Darwinex · Collective2These fills happened in a real account (post-trade)Anything about the strategy's development; survivorship of the accounts you're not shown
Skin-in-the-game stakingNumerai (30k+ quants, $NMR stakes)The author believes the signal (incentive alignment)Why a prediction was made; no path from signal to executable strategy
On-chain transparencyHyperliquid vaults · agent tokensEvery live fill is publicly verifiableThe backtest that raised the money; look-ahead in research stays invisible
TEE / ZK attestationAlmanak (TEE vaults) · ZKML effortsThe declared code ran untamperedThat the code’s inputs were period-honest; attested look-ahead is still look-ahead
Code-audited backtestQuantConnect and quant shopsDeterministic sim on point-in-time data (for engineers)LLM agents: prompts aren't code; nothing binds a model's context to the sim clock
Causality receipts (Cubicle)Any LLM/agent sessionPer decision: which candles existed, causal bar, determinism hash; 3-actor cross-check (dispatcher · strategy · book)Live slippage vs sim (bridged later by the same receipts on staged live rails)

Position in one sentence: the missing audit layer for AI trading agents, receipts for the information set, composable with (not competing against) broker verification, staking, and on-chain transparency downstream.

Live-operator competition

The agents already trading real money

Almanak

18-agent DeFi swarm; TEE + multisig vaults; $132M peak TVL, ~$6M annualized revenue. Strength: live capital + security posture. Gap: a closed strategy factory, not a venue others rehearse or publish on.

Neyro · HyperAgent · Hyperliquid stack

Non-custodial agents executing on the on-chain CLOB; public monthly windows. Strength: live, verifiable fills. Gap: results-only trust; no rehearsal environment, no pre-trade proof.

ai16z / ElizaOS · Virtuals agents

Token-funded agent funds and agent launchpads (~$15B sector cap). Strength: distribution + capital formation. Gap: performance claims are vibes + token price; an auditability layer is exactly what they lack, which makes them a partner surface for us, not only a rival.

Numerai

The strongest trust design in the field (obfuscated data, stakes, meta-model). Gap: equities signals only, no agent interface, no executable strategy loop for the author. If they ever open an agent venue, they're the serious rival. Speed matters.

Honest threat list: an exchange shipping a “replay sandbox” (they own data + users), TradingView opening a replay API, or Numerai going agentic. Our compounding defense: the receipted decision corpus, the glyph grammar as a de-facto agent standard, and author lock-in via the re-seller program.

The skills surface

What an agent can do: the full verb set

Exposed once as an MCP server (plus REST/WS). Verbs map 1:1 to the live /tape/v1 and /book/v1 APIs.

SkillVerbWhat it doesStage
Marketsmarkets.listIndex futures and crypto, with tick specs and calendarsnow
Orientorient.readcockpit.v1 as JSON or ASCII: zone, ladder, SMT wall, regime, day rangenow
Time travelsession.open / pause / seek / stepReplay any window at 1×–1000×; clock dispatches candles at speednow
Tradeorder.place / cancel · positions.getLimit/market/stops on the CLOB; paper account; fees modelednow
Loglog.pinAttach agent reasoning to the exact market moment (t_logical)now
Provesession.receipt3-actor causality receipt + determinism hashes for the whole runnow
Analyzeskills.attach · eval.exportIndicator packs, graded answers, RL-ready episode exportsG2
Comparesession.fork · compareA/B two strategies on the identical tapeG2
Publishstrategy.publish · subscribeList with receipted track record; re-seller revenue shareG4
Go livelive.arm · dispatchArmed-on-approval routing via partner venues; every dispatch receiptedG5
Demo · an agent builds, proves, publishes

The transcript, end to end

# 1 · BUILD — the agent drafts a strategy from structure, not vibes
orient.read { market:"NQ", mode:"ascii" }
→ "RS BEARISH · px in premium · SMT wall DIVERGING · NY_AM open in 12m"
log.pin { note:"Thesis: fade NY_AM opening drive into P3 premium when SMT diverges." }

# 2 · TIME-TRAVEL BACKTEST — honest by construction
session.open { market:"NQ", from:"2026-05-01", to:"2026-05-30", speed_x:100 }
→ sid_7f2a · clock owns the tape: candles arrive only as released
loop: orient.read → decide → order.place { side, qty, px, tif:"gtc", reason:"…" }
→ 27 fills · every decision stamped with causal candle + seed hash

# 3 · PROVE — the artifact that replaces "trust me"
session.receipt { sid:"sid_7f2a" }
→ { ticks:41,760 · gaps:0 · orphan_decisions:0 · causality_ok:true · pnl:+3.1R }

# 4 · COMPARE — same tape, variant B (G2)
session.fork { sid:"sid_7f2a", patch:"entry at EQ instead of premium" } → B underperforms −1.2R

# 5 · PUBLISH — the re-seller program (G4)
strategy.publish { name:"nyam-fade", receipts:["sid_7f2a",…], split:{author:70,platform:30} }
→ listed · subscribers copy under caps + kill-switch · payouts stream to author

# 6 · LIVE — after venues & outlets are wired (G5)
live.arm { strategy:"nyam-fade", venue:"kraken", max_notional:25_000 }
→ armed-on-approval · human confirms · every live dispatch carries the same receipt chain

Same six verbs whether the caller is Claude, ChatGPT, Gemini, an ElizaOS agent, or, later, our own open-weight Nemotron fine-tune trained on exactly these receipted episodes.

cubicle · by algotrada

Cubicle, by AlgoTrada · landscape & demo v1 · companion to the litepaper and gate roadmap. Competitive facts as of Jul 2026; sources in the working notes.

Algorithmic trading involves risk. Backtest, forward-test and hypothetical results are labelled as such and are not predictive of future performance. © 2026 AlgoTrada Technologies.