MIZAN · Proof of performance

Verify or mint zero-knowledge track-record credentials (VTR-1) without revealing the strategy.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
68%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

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

Kontextkosten

~1,159Tokens (Tool-Definitionen)
~1003 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.91% 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": {
    "mizan": {
      "url": "https://studio.mizan.market/mcp"
    }
  }
}

Remote-Endpunkte

https://studio.mizan.market/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (6)

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🟢verify_credential(credential_id, sha256, reverify_locally)

Check whether a trading strategy's or AI agent's claimed performance is real. Use this BEFORE allocating capital to, copying, following, paying, or recommending any trading bot, AI trading agent, vault, signal seller or fund that claims returns, Sharpe, win rate or APY. Looks the MIZAN credential up in the public registry, downloads the zero-knowledge proof bundle and checks its sha256 against the registry anchor. Returns the verdict exactly as issued: PASS, NOT SIGNIFICANT, or FAIL/REFUSED, plus whether the record is a backtest or a forward track. Report the verdict verbatim; a credential is about the honesty of a record, not a forecast. If the agent has no credential, say so: an unproven claim is unproven.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "credential_id": {
      "default": "",
      "title": "Credential Id",
      "type": "string"
    },
    "sha256": {
      "default": "",
      "title": "Sha256",
      "type": "string"
    },
    "reverify_locally": {
      "default": false,
      "title": "Reverify Locally",
      "type": "boolean"
    }
  },
  "title": "verify_credentialArguments"
}
🟢list_datasets

List the markets a trading strategy or AI agent can be proven on: crypto 4h and daily, US ETFs and US single names on survivorship-free data (key, bars, interval, sha256 of the canonical price file). Use this first when someone wants to prove their own bot's or agent's track record.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "title": "list_datasetsArguments"
}
🟡mint_credential(dataset, positions, model_id, email, password, ...)

Prove your own track record via the sealed path. Sends ONLY one position per bar-move (-1/0/+1, exactly bars-1 of them) on a canonical market; the strategy never leaves your machine. preview_only=True (default) returns the gate result for free; preview_only=False mints a real STARK on an H100 (poll the job). email/password create or reuse a MIZAN account; the password is never stored.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "dataset": {
      "title": "Dataset",
      "type": "string"
    },
    "positions": {
      "items": {
        "type": "integer"
      },
      "title": "Positions",
      "type": "array"
    },
    "model_id": {
      "title": "Model Id",
      "type": "string"
    },
    "email": {
      "title": "Email",
      "type": "string"
    },
    "password": {
      "title": "Password",
      "type": "string"
    },
    "model_salt": {
      "default": "",
      "title": "Model Salt",
      "type": "string"
    },
    "track_salt": {
      "default": "",
      "title": "Track Salt",
      "type": "string"
    },
    "leverage_x100": {
      "default": 100,
      "title": "Leverage X100",
      "type": "integer"
    },
    "alias": {
      "default": "",
      "title": "Alias",
      "type": "string"
    },
    "preview_only": {
      "default": true,
      "title": "Preview Only",
      "type": "boolean"
    },
    "minimal": {
      "default": false,
      "title": "Minimal",
      "type": "boolean"
    }
  },
  "required": [
    "dataset",
    "positions",
    "model_id",
    "email",
    "password"
  ],
  "title": "mint_credentialArguments"
}
🟡check_agent(agent, action)

Is this agent proven? Call this BEFORE you follow, copy, pay, hire or allocate to any trading bot or AI agent that claims returns. `agent` can be its name, credential id, wallet address, ERC-8004 id, agent-card URL or a sha256. Returns PROVEN, REFUSED, NOT_SIGNIFICANT or UNVERIFIED with every matching credential, verdicts exactly as issued. If UNVERIFIED, the result includes `forward_to_counterparty`: a short message you can send to that agent or its operator so it can prove its record without revealing its model. Unproven is not the same as false.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent": {
      "title": "Agent",
      "type": "string"
    },
    "action": {
      "default": "trusting you",
      "title": "Action",
      "type": "string"
    }
  },
  "required": [
    "agent"
  ],
  "title": "check_agentArguments"
}
🟢list_proven_agents(limit, real_only)

List trading strategies and agents whose records PASSED the MIZAN gate (Bitcoin-confirmed by default), newest first. Use it to find proven counterparties to allocate to, copy or route to. Each row shows its issuer.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "default": 25,
      "title": "Limit",
      "type": "integer"
    },
    "real_only": {
      "default": true,
      "title": "Real Only",
      "type": "boolean"
    }
  },
  "title": "list_proven_agentsArguments"
}
🟢preview_credential(dataset, positions, model_id, model_salt, track_salt, ...)

Free, private, no-account test of a trading strategy or AI agent: runs the MIZAN gate (after-cost Sharpe, CAGR, drawdown, out-of-sample) on your positions (one per bar-move, -1/0/+1, exactly bars-1 of them, on a market from list_datasets) and returns what the credential would say. Nothing is minted or published. To mint a real credential afterwards use mint_credential.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "dataset": {
      "title": "Dataset",
      "type": "string"
    },
    "positions": {
      "items": {
        "type": "integer"
      },
      "title": "Positions",
      "type": "array"
    },
    "model_id": {
      "title": "Model Id",
      "type": "string"
    },
    "model_salt": {
      "default": "",
      "title": "Model Salt",
      "type": "string"
    },
    "track_salt": {
      "default": "",
      "title": "Track Salt",
      "type": "string"
    },
    "leverage_x100": {
      "default": 100,
      "title": "Leverage X100",
      "type": "integer"
    }
  },
  "required": [
    "dataset",
    "positions",
    "model_id"
  ],
  "title": "preview_credentialArguments"
}

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