MCP MeasureMCP Measure

Index beobachtet

strategyarena

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

Sollte ich dies verwenden

Qualität und Sicherheit

B
Qualität der Beschreibung
92%
Vollständigkeit des Schemas
58%
Qualität der Benennung
90%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (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

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~5,849Tokens (Tool-Definitionen)
~834 BTypische Antwortgröße
Erhebliche Auswirkung auf die Aufmerksamkeit (4.57% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

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

Remote-Endpunkte

https://strategyarena.io/mcp/ssesse

Was es kann

Tool-Inventar

Tools (45)

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⚪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.

Eingabe-Schema

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

Ausgabe-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=...).

Eingabe-Schema

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

Ausgabe-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).

Eingabe-Schema

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

Ausgabe-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').

Eingabe-Schema

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

Ausgabe-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.

Eingabe-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"
}

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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).

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-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"
}

Ausgabe-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.

Eingabe-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"
}

Ausgabe-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.

Eingabe-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"
}

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-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"
}

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-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"
}

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-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.

Eingabe-Schema

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

Ausgabe-Schema

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

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