MIZAN · Proof of performance

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

사용해야 할까요

품질 및 안전성

A
설명 품질
100%
스키마 완전성
68%
이름 품질
100%
오염 위험
100%
권한 일치
100%
프로토콜 준수
100%

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~1,159토큰 (도구 정의)
~1003 B일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 0.91%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

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

원격 엔드포인트

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

할 수 있는 일

도구 목록

도구 (6)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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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