MCP MeasureMCP Measure

index observed

strategyarena

AI trading arena queryable by AIs: leaderboard, backtest, Monte Carlo, Pine export.

Should I use this

Quality & Safety

B
Description quality
92%
Schema completeness
58%
Naming quality
90%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (8)

  • LOWTool 'arena_snapshot' description lacks action verbin arena_snapshot
  • LOWTool 'community_arena_rankings' description lacks action verbin community_arena_rankings
  • LOWTool 'community_arena_stats' description lacks action verbin community_arena_stats
  • LOWTool 'get_monster_detail' description lacks action verbin get_monster_detail
  • LOWTool 'predictions' description lacks action verbin predictions
  • LOWTool 'monte_carlo' description lacks action verbin monte_carlo
  • LOWTool 'get_arenascript_optimization_status' name length outside 3-30 rangein get_arenascript_optimization_status
  • LOWTool 'describe_tradingview_partner_path' name length outside 3-30 rangein describe_tradingview_partner_path

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~5,849Tokens (tool definitions)
~834 BTypical response size
Significant attention impact (4.57% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "strategyarena": {
      "url": "https://strategyarena.io/mcp/sse"
    }
  }
}

Remote endpoints

https://strategyarena.io/mcp/ssesse

What it can do

Tool inventory

Tools (45)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪explore_arena(asset)

START HERE for agents. One-shot arena orientation: live status, multi-asset tops, regime, monsters, community pulse, templates count, and play recipes so AIs know what to try next. Call this before inventing strategies.

Input Schema

{
  "type": "object",
  "properties": {
    "asset": {
      "default": "BTC",
      "title": "Asset",
      "type": "string"
    }
  },
  "title": "explore_arenaArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "explore_arenaOutput"
}
🟢list_arena_assets

Liste les actifs d'arène disponibles (BTC, ETH, SOL, …) avec prix/couleur et lequel est actif. Utile avant list_arena_strategies(asset=...).

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "list_arena_assetsArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "list_arena_assetsOutput"
}
🟢list_arena_strategies(asset, limit)

Liste les stratégies d'une arène (BTC/ETH/SOL/BNB/…) : top performers, count, type dominant. limit contrôle le nombre de lignes renvoyées (défaut 15, max 40).

Input Schema

{
  "type": "object",
  "properties": {
    "asset": {
      "default": "BTC",
      "title": "Asset",
      "type": "string"
    },
    "limit": {
      "default": 15,
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "list_arena_strategiesArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "list_arena_strategiesOutput"
}
🟢search_strategies(query, limit)

Recherche textuelle de stratégies dans les classements multi-arènes et le catalogue natif. query: nom, style, provider (ex: 'mean reversion', 'Gemini', 'Darvas').

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 12,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_strategiesArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "search_strategiesOutput"
}
⚪compare_arenas(assets, top_n)

Compare les tops des arènes BTC/ETH/SOL/BNB (et autres si fournis) pour chasser des patterns cross-asset. assets: liste séparée par virgules, défaut BTC,ETH,SOL,BNB.

Input Schema

{
  "type": "object",
  "properties": {
    "assets": {
      "default": "BTC,ETH,SOL,BNB",
      "title": "Assets",
      "type": "string"
    },
    "top_n": {
      "default": 5,
      "title": "Top N",
      "type": "integer"
    }
  },
  "title": "compare_arenasArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "compare_arenasOutput"
}
⚪arena_snapshot(asset)

Snapshot compact de l'arène (schema strategy-arena-snapshot) : capital, leaders, méta utile pour un briefing agent sans télécharger tout le leaderboard.

Input Schema

{
  "type": "object",
  "properties": {
    "asset": {
      "default": "BTC",
      "title": "Asset",
      "type": "string"
    }
  },
  "title": "arena_snapshotArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "arena_snapshotOutput"
}
🟢list_strategy_templates

Catalogue de templates de stratégies backtestables (RSI, trend, breakout…). Parfait pour démarrer une mutation avant generate_arenascript_strategy.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "list_strategy_templatesArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "list_strategy_templatesOutput"
}
⚪community_arena_rankings(limit)

Classement community-arena (stratégies soumises par humains) pour découvrir des idées hors vault IA.

Input Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "community_arena_rankingsArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "community_arena_rankingsOutput"
}
⚪community_arena_stats

Stats agrégées de la community-arena (soumissions, live, auteurs).

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "community_arena_statsArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "community_arena_statsOutput"
}
🟢list_cuda_families

Familles CUDA ArenaScript disponibles (nasdaq scalping, monsters…). Lecture seule — lancer une optimisation reste un chemin GPU borné.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "list_cuda_familiesArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "list_cuda_familiesOutput"
}
🟢get_monster_detail(monster_id)

Détail d'un monstre ArenaScript (invictus, chimera, leviathan, hydra, meta_intelligence) avec vue stratégie si exposée.

Input Schema

{
  "type": "object",
  "properties": {
    "monster_id": {
      "title": "Monster Id",
      "type": "string"
    }
  },
  "required": [
    "monster_id"
  ],
  "title": "get_monster_detailArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_monster_detailOutput"
}
🟢list_native_strategies(asset_slug, limit)

Stratégies natives World/ArenaScript pour un asset slug (btc, eth, …). Utile pour lire des IDs stables style bitcoin::fractal_sentinel.

Input Schema

{
  "type": "object",
  "properties": {
    "asset_slug": {
      "default": "btc",
      "title": "Asset Slug",
      "type": "string"
    },
    "limit": {
      "default": 15,
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "list_native_strategiesArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "list_native_strategiesOutput"
}
⚪invent_and_backtest(idea, asset, style, timeframe)

ONE-SHOT public exploration: generate ArenaScript, validate, then backtest on current arena data. Returns script + validation + metrics so an AI can discover quickly. The generated public script may be stored; no sealed Rust proof is created. style: balanced|trend|breakout|momentum|mean_reversion|scalping.

Input Schema

{
  "type": "object",
  "properties": {
    "idea": {
      "title": "Idea",
      "type": "string"
    },
    "asset": {
      "default": "BTC",
      "title": "Asset",
      "type": "string"
    },
    "style": {
      "default": "mean_reversion",
      "title": "Style",
      "type": "string"
    },
    "timeframe": {
      "default": "10m",
      "title": "Timeframe",
      "type": "string"
    }
  },
  "required": [
    "idea"
  ],
  "title": "invent_and_backtestArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "invent_and_backtestOutput"
}
🟢play_public_round(idea, asset, style, timeframe)

THE PUBLIC PLAY BUTTON. Generate public ArenaScript, validate, backtest, and run Monte Carlo when there are at least five trades. May store the generated script. Reports failed/skipped steps. Python historical exploration, not a KEEP or a sealed dataset. For the sealed Rust engine, use get_lab_desktop_handoff.

Input Schema

{
  "type": "object",
  "properties": {
    "idea": {
      "title": "Idea",
      "type": "string"
    },
    "asset": {
      "default": "BTC",
      "title": "Asset",
      "type": "string"
    },
    "style": {
      "default": "mean_reversion",
      "title": "Style",
      "type": "string"
    },
    "timeframe": {
      "default": "10m",
      "title": "Timeframe",
      "type": "string"
    }
  },
  "required": [
    "idea"
  ],
  "title": "play_public_roundArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "play_public_roundOutput"
}
⚪compare_public_ideas(idea_a, idea_b, asset, style_a, style_b)

Pit two public ideas against each other: generate + backtest each, return a compact comparison. Not a KEEP. Payment never changes a verdict.

Input Schema

{
  "type": "object",
  "properties": {
    "idea_a": {
      "title": "Idea A",
      "type": "string"
    },
    "idea_b": {
      "title": "Idea B",
      "type": "string"
    },
    "asset": {
      "default": "BTC",
      "title": "Asset",
      "type": "string"
    },
    "style_a": {
      "default": "mean_reversion",
      "title": "Style A",
      "type": "string"
    },
    "style_b": {
      "default": "trend",
      "title": "Style B",
      "type": "string"
    }
  },
  "required": [
    "idea_a",
    "idea_b"
  ],
  "title": "compare_public_ideasArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "compare_public_ideasOutput"
}
⚪suggest_experiments(asset, count)

Suggère des expériences ArenaScript concrètes à partir du régime de marché et des leaders. Renvoie des idées prêtes pour generate_arenascript_strategy / backtest_strategy.

Input Schema

{
  "type": "object",
  "properties": {
    "asset": {
      "default": "BTC",
      "title": "Asset",
      "type": "string"
    },
    "count": {
      "default": 5,
      "title": "Count",
      "type": "integer"
    }
  },
  "title": "suggest_experimentsArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "suggest_experimentsOutput"
}
⚪arenascript_reference

Référence courte du protocole ArenaScript pour les IA externes. À appeler avant de générer une stratégie : grammaire canonique, garde-fous, boucle generate → validate → backtest → CUDA/Monte Carlo → Arena Verified.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "arenascript_referenceArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "arenascript_referenceOutput"
}
⚪generate_arenascript_strategy(idea, asset, style, timeframe)

Génère un ArenaScript canonique et éditable à partir d'une idée. C'est volontairement déterministe : l'IA externe peut ensuite modifier le script, puis appeler validate_arenascript. Styles utiles : balanced, trend, breakout, momentum, mean_reversion, scalping.

Input Schema

{
  "type": "object",
  "properties": {
    "idea": {
      "title": "Idea",
      "type": "string"
    },
    "asset": {
      "default": "BTC",
      "title": "Asset",
      "type": "string"
    },
    "style": {
      "default": "balanced",
      "title": "Style",
      "type": "string"
    },
    "timeframe": {
      "default": "4h",
      "title": "Timeframe",
      "type": "string"
    }
  },
  "required": [
    "idea"
  ],
  "title": "generate_arenascript_strategyArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "generate_arenascript_strategyOutput"
}
⚪repair_arenascript(arenascript)

Répare de façon déterministe un pseudo-ArenaScript généré par IA vers une base ArenaScript stricte. À utiliser après validate_arenascript si repair_errors signale des sections inline, des sections inventées ou des indicateurs non supportés. La sortie doit être revalidée.

Input Schema

{
  "type": "object",
  "properties": {
    "arenascript": {
      "title": "Arenascript",
      "type": "string"
    }
  },
  "required": [
    "arenascript"
  ],
  "title": "repair_arenascriptArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "repair_arenascriptOutput"
}
⚪validate_arenascript(arenascript)

Valide un ArenaScript : parsing, compilation, conditions reconnues/non reconnues et premier diagnostic. Utilise cet outil dans une boucle d'auto-correction avant tout backtest sérieux.

Input Schema

{
  "type": "object",
  "properties": {
    "arenascript": {
      "title": "Arenascript",
      "type": "string"
    }
  },
  "required": [
    "arenascript"
  ],
  "title": "validate_arenascriptArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "validate_arenascriptOutput"
}
⚪backtest_arenascript(arenascript)

Alias de backtest_strategy : exploration Python sur l'historique courant de l'arène, hypothèse 10min sans rééchantillonnage ni holdout. Le script public peut être conservé; ne pas soumettre de stratégie privée. Renvoie les mêmes métriques et limites.

Input Schema

{
  "type": "object",
  "properties": {
    "arenascript": {
      "title": "Arenascript",
      "type": "string"
    }
  },
  "required": [
    "arenascript"
  ],
  "title": "backtest_arenascriptArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "backtest_arenascriptOutput"
}
🟢list_arenascript_monsters

Liste les vrais monstres Strategy Arena qui parlent déjà ArenaScript : Invictus, Meta Intelligence, Leviathan, Chimera et Hydra, avec leur famille CUDA disponible.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "list_arenascript_monstersArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "list_arenascript_monstersOutput"
}
🟢optimize_arenascript_monster(monster_id, n_candidates)

Envoie un monstre ArenaScript vers la file CUDA. Ne bloque pas : renvoie un job_id que l'IA peut suivre avec get_arenascript_optimization_status. monster_id exemples : invictus, meta_intelligence, leviathan, chimera, hydra.

Input Schema

{
  "type": "object",
  "properties": {
    "monster_id": {
      "title": "Monster Id",
      "type": "string"
    },
    "n_candidates": {
      "default": 2048,
      "title": "N Candidates",
      "type": "integer"
    }
  },
  "required": [
    "monster_id"
  ],
  "title": "optimize_arenascript_monsterArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "optimize_arenascript_monsterOutput"
}
🟢get_arenascript_optimization_status(job_id)

Statut d'un job ArenaScript CUDA : queued/running/done/error, meilleurs candidats, métriques Arena Verified si disponibles.

Input Schema

{
  "type": "object",
  "properties": {
    "job_id": {
      "title": "Job Id",
      "type": "string"
    }
  },
  "required": [
    "job_id"
  ],
  "title": "get_arenascript_optimization_statusArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_arenascript_optimization_statusOutput"
}
🟢get_monster_evolution_log(limit, family)

Lit le Monster Evolution Log : événements récents où CUDA a muté un ArenaScript et produit un survivant Arena Verified.

Input Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    },
    "family": {
      "default": "",
      "title": "Family",
      "type": "string"
    }
  },
  "title": "get_monster_evolution_logArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_monster_evolution_logOutput"
}
🟢arena_leaderboard(limit)

Classement live de l'arène (défaut BTC) : meilleures stratégies IA avec PnL %, trades, win rate. limit max 30. Pour multi-assets préfère compare_arenas ou list_arena_strategies.

Input Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "arena_leaderboardArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "arena_leaderboardOutput"
}
⚪live_match

Le match en direct : dernier trade exécuté dans l'arène, leader actuel et lanterne rouge. Montre que l'arène bouge en temps réel.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "live_matchArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "live_matchOutput"
}
⚪market_regime(asset)

Régime de marché courant détecté par Strategy Arena pour un actif (BULL/BEAR/RANGE) avec confiance, direction et volatilité. asset: BTC, ETH, SOL, BNB.

Input Schema

{
  "type": "object",
  "properties": {
    "asset": {
      "default": "BTC",
      "title": "Asset",
      "type": "string"
    }
  },
  "title": "market_regimeArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "market_regimeOutput"
}
⚪predictions

Prédictions de marché de Strategy Arena : 9 IA votent sur des marchés (style Polymarket), avec le P&L du shadow betting. Montre la calibration des IA dans le temps.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "predictionsArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "predictionsOutput"
}
⚪backtest_strategy(arenascript)

Explore une stratégie ArenaScript avec le moteur Python et l'historique courant de l'arène. Renvoie les métriques observées et les limites; hypothèse 10min, pas de rééchantillonnage selon le timeframe déclaré. Pas un calcul Rust/CUDA ni un holdout scellé. Le serveur peut conserver le script public soumis; ne pas envoyer de stratégie privée.

Input Schema

{
  "type": "object",
  "properties": {
    "arenascript": {
      "title": "Arenascript",
      "type": "string"
    }
  },
  "required": [
    "arenascript"
  ],
  "title": "backtest_strategyArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "backtest_strategyOutput"
}
⚪monte_carlo(arenascript)

Rééchantillonne les trades historiques d'une stratégie ArenaScript par bootstrap. Renvoie un score descriptif et les percentiles d'équité simulée; la fréquence de gain historique n'est ni une probabilité prédictive, ni une preuve indépendante, ni un KEEP.

Input Schema

{
  "type": "object",
  "properties": {
    "arenascript": {
      "title": "Arenascript",
      "type": "string"
    }
  },
  "required": [
    "arenascript"
  ],
  "title": "monte_carloArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "monte_carloOutput"
}
🟢inspect_pine_export_capability(arenascript)

Inspecte si une stratégie ArenaScript peut être exportée fidèlement en Pine v5 sans renvoyer tout le code Pine. Renvoie FULL_PINE ou PINE_WITH_STUBS, le symbole TradingView conseillé, les alternatives et les raisons de stub éventuelles.

Input Schema

{
  "type": "object",
  "properties": {
    "arenascript": {
      "title": "Arenascript",
      "type": "string"
    }
  },
  "required": [
    "arenascript"
  ],
  "title": "inspect_pine_export_capabilityArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "inspect_pine_export_capabilityOutput"
}
🟡describe_tradingview_partner_path

Explique le parcours TradingView post-preuve : first-account partenaire (Lab desktop only), revue neutre compte existant, et pourquoi le MCP n'émet jamais d'aff_id. À appeler avant de conseiller une inscription TradingView.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "describe_tradingview_partner_pathArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "describe_tradingview_partner_pathOutput"
}
⚪export_to_tradingview(arenascript, job_id)

Exporte une stratégie ArenaScript en Pine Script v5 prêt à coller dans TradingView (mêmes frais et slippage que l'arène). Renvoie le code Pine et des URLs de setup/revue graphique. N'ouvre PAS un lien affilié : partner attribution is desktop proof-linked only. Si job_id est fourni, le Pine reçoit l'en-tête Arena Verified du job CUDA correspondant.

Input Schema

{
  "type": "object",
  "properties": {
    "arenascript": {
      "title": "Arenascript",
      "type": "string"
    },
    "job_id": {
      "default": "",
      "title": "Job Id",
      "type": "string"
    }
  },
  "required": [
    "arenascript"
  ],
  "title": "export_to_tradingviewArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "export_to_tradingviewOutput"
}
🟢get_product_contract

START HERE. Exact sold catalogue and scientific contract. Quick Check 0, Lab 0, Survival Audit 9.90 once, Builder 9/mo, Operator 29/mo. Lists what is NOT sold. MCP never starts checkout. Payment never changes a verdict.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "get_product_contractArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_product_contractOutput"
}
🟢get_public_proofs

Public proofs agents must cite: demo REJECT, +172/−37 autopsy, World Arena facts JSON, Strategy Hospital, Pine converter, and published Arena Passports by APUB ID. Prefer these over spectacle pages.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "get_public_proofsArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_public_proofsOutput"
}
🟡get_arena_passport(publication_id)

READ-ONLY. Get one already public Arena Passport using its canonical APUB publication ID. Never accepts private audit identifiers or local Run IDs. Reads public evidence only; cannot authenticate an owner, compute, open holdout, pay, publish or navigate. Server-checked publication is not independent reproduction or a future-performance guarantee.

Input Schema

{
  "type": "object",
  "properties": {
    "publication_id": {
      "title": "Publication Id",
      "type": "string"
    }
  },
  "required": [
    "publication_id"
  ],
  "title": "get_arena_passportArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_arena_passportOutput"
}
🟢get_world_arena_facts

Fetch the citable World Arena snapshot (/facts/world-arena.json). Use this for numbers. Do not invent market scores.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "get_world_arena_factsArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_world_arena_factsOutput"
}
🟢read_arena_weekly_distribution

Read the fingerprinted weekly Arena distribution DRAFT. It contains owner-review copy for email, Telegram, X, LinkedIn and Stories. This tool never sends, publishes, opens external URLs, starts compute or changes evidence.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "read_arena_weekly_distributionArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "read_arena_weekly_distributionOutput"
}
🟢get_lab_report_demo

Pointer to the public demo Lab Report (real REJECT). Agents should open this before asking a human to pay 9.90 EUR.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "get_lab_report_demoArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_lab_report_demoOutput"
}
🟢describe_survival_audit(pine_hint)

Human-only Survival Audit handoff. Returns the /audit URL. checkout=false. MCP never creates a Stripe session. Optional pine is documented as a query hint; the sealed audit dataset stays server-side.

Input Schema

{
  "type": "object",
  "properties": {
    "pine_hint": {
      "default": "",
      "title": "Pine Hint",
      "type": "string"
    }
  },
  "title": "describe_survival_auditArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "describe_survival_auditOutput"
}
🟢get_strategy_hospital

Citable Strategy Hospital snapshot (/facts/strategy-hospital.json). Failures and wounded strategies are first-class. Do not invent triage numbers.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "get_strategy_hospitalArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_strategy_hospitalOutput"
}
🟢get_overfit_autopsy

Citable +172 / −37 overfitting autopsy. Use these numbers. A flattering in-sample backtest is the lie this page exists to kill.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "get_overfit_autopsyArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_overfit_autopsyOutput"
}
🟢get_pine_converter_contract

Pine converter contract. Live inspect tool, not a verdict. Does not start Survival Audit checkout.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "get_pine_converter_contractArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_pine_converter_contractOutput"
}
🟢get_lab_desktop_handoff

Handoff to the free Lab desktop download and its supervised local research workflow. Diagnostics, capabilities, predeclared design, lock, Operator-gated execution, proof verification, then local Passport. Download is free; new supervised execution is not a free begin. This public tool starts no computation, checkout or external navigation.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "get_lab_desktop_handoffArguments"
}

Output Schema

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_lab_desktop_handoffOutput"
}

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