MIZAN · Proof of performance

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

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
68%
命名品質
100%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,159Token(工具定義)
~1003 B典型回應大小
中等的注意力影響(128k 上下文的 0.91%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "mizan": {
      "url": "https://studio.mizan.market/mcp"
    }
  }
}

遠端端點

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

它能做什麼

工具清單

工具(6)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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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