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Cabrini Market Data

US equity data for AI agents — 23 years intraday + daily, SEC filings. x402 USDC payments.

AI & Machine LearningAnalytics & BIPayment & Finance

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品質與安全性

A
說明品質
86%
結構描述完整度
86%
命名品質
99%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目（5）

  • LOWTool 'scan_market' description lacks action verb在 scan_market 中
  • LOWTool 'get_company' description lacks action verb在 get_company 中
  • LOWTool 'get_fundamentals' description lacks action verb在 get_fundamentals 中
  • LOWTool 'get_insiders' description lacks action verb在 get_insiders 中
  • LOWTool 'get_stats' description lacks action verb在 get_stats 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,884Token（工具定義）
~844 B典型回應大小
中等的注意力影響（128k 上下文的 1.47%）

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": {
    "market-data": {
      "url": "https://cabrini.ai/mcp"
    }
  }
}

遠端端點

https://cabrini.ai/mcpstreamable-http

它能做什麼

工具清單

工具（15）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟡query_minute_bars(ticker, date, interval)

Full trading day of intraday bars for one US stock (interval 3-240 min, default 3m). Every bar carries absolute open/high/low/close plus pct_open/pct_high/pct_low/pct_close (fractional change from that day's open), volume and transactions. $0.025 USDC.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker (e.g. AAPL)"
    },
    "date": {
      "type": "string",
      "description": "YYYY-MM-DD"
    },
    "interval": {
      "type": "integer",
      "description": "Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240 (default 3)"
    }
  },
  "required": [
    "ticker",
    "date"
  ]
}
🟢list_tickers(date)

List all tickers that traded on a given date. $0.005 USDC.

輸入結構描述

{
  "type": "object",
  "properties": {
    "date": {
      "type": "string",
      "description": "YYYY-MM-DD"
    }
  },
  "required": [
    "date"
  ]
}
🟡query_range(ticker, start, end, interval)

Multi-day intraday bars for one ticker (interval 3-240 min, default 3m). Every bar carries absolute open/high/low/close plus fractional change from that day's own open — percentages reset daily, not cumulative. $0.01/day, no day limit.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker (e.g. AAPL)"
    },
    "start": {
      "type": "string",
      "description": "Start date YYYY-MM-DD"
    },
    "end": {
      "type": "string",
      "description": "End date YYYY-MM-DD"
    },
    "interval": {
      "type": "integer",
      "description": "Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240 (default 3)"
    }
  },
  "required": [
    "ticker",
    "start",
    "end"
  ]
}
🟡query_batch(tickers, date)

Multiple tickers for one date. Every bar carries absolute open/high/low/close plus fractional change from that ticker's own daily open. $0.02/ticker, no limit.

輸入結構描述

{
  "type": "object",
  "properties": {
    "tickers": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "List of ticker symbols"
    },
    "date": {
      "type": "string",
      "description": "YYYY-MM-DD"
    }
  },
  "required": [
    "tickers",
    "date"
  ]
}
⚪scan_market(date, gap_up_pct, gap_down_pct, change_pct_min, change_pct_max, ...)

Scan all US stocks on a date for custom criteria (gaps, volume, change). Returns pct_change, range_pct, pct_gap, true_range_pct, volume and volume_ratio per match — criteria in percent (5 = 5%), outputs fractional (0.05 = 5%). $0.10 USDC.

輸入結構描述

{
  "type": "object",
  "properties": {
    "date": {
      "type": "string",
      "description": "YYYY-MM-DD"
    },
    "gap_up_pct": {
      "type": "number",
      "description": "Min gap up % from prior close"
    },
    "gap_down_pct": {
      "type": "number",
      "description": "Min gap down % from prior close"
    },
    "change_pct_min": {
      "type": "number",
      "description": "Min intraday change %"
    },
    "change_pct_max": {
      "type": "number",
      "description": "Max intraday change %"
    },
    "volume_min": {
      "type": "integer",
      "description": "Min total volume"
    },
    "volume_ratio_min": {
      "type": "number",
      "description": "Min volume vs prior day (e.g. 2.0)"
    },
    "range_pct_min": {
      "type": "number",
      "description": "Min intraday range (high-low)/open as a percent, e.g. 5 for 5%"
    },
    "limit": {
      "type": "integer",
      "description": "Max results (default 50)"
    }
  },
  "required": [
    "date"
  ]
}
🟢query_daily(ticker, start, end)

Daily OHLCV bars plus VWAP, range_pct and true_range_pct for one ticker over a date range. range_pct = (high - low) / open is a ready-made volatility read; true_range_pct also captures the overnight gap. Day-level aggregates — the cheapest way to cover long histories. $0.001/year.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker (e.g. AAPL)"
    },
    "start": {
      "type": "string",
      "description": "Start date YYYY-MM-DD"
    },
    "end": {
      "type": "string",
      "description": "End date YYYY-MM-DD"
    }
  },
  "required": [
    "ticker",
    "start",
    "end"
  ]
}
🟢get_brief(ticker, date, lookback_days)

Full research brief: price, fundamentals, insiders, splits for one ticker. $0.25 USDC.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker (e.g. NVDA)"
    },
    "date": {
      "type": "string",
      "description": "As-of date YYYY-MM-DD (default: today)"
    },
    "lookback_days": {
      "type": "integer",
      "minimum": 1,
      "maximum": 365,
      "description": "Days of price history, 1-365 (default 30)"
    }
  },
  "required": [
    "ticker"
  ]
}
🟢get_company(ticker)

Company profile: name, CIK, industry, exchange, fiscal year. $0.005 USDC.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker (e.g. AAPL)"
    }
  },
  "required": [
    "ticker"
  ]
}
🟢get_fundamentals(ticker, metrics, from_date, to_date)

Quarterly fundamentals from SEC EDGAR (revenue, EPS, margins, etc). $0.02 USDC.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker (e.g. AAPL)"
    },
    "metrics": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Filter metrics"
    },
    "from_date": {
      "type": "string",
      "description": "Start date YYYY-MM-DD"
    },
    "to_date": {
      "type": "string",
      "description": "End date YYYY-MM-DD"
    }
  },
  "required": [
    "ticker"
  ]
}
🟢get_insiders(ticker, from_date, to_date)

Insider transactions (Form 4) from SEC EDGAR. $0.02 USDC.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker (e.g. AAPL)"
    },
    "from_date": {
      "type": "string",
      "description": "Start date YYYY-MM-DD"
    },
    "to_date": {
      "type": "string",
      "description": "End date YYYY-MM-DD"
    }
  },
  "required": [
    "ticker"
  ]
}
🟡get_filings(ticker, types, from_date, to_date, sections, ...)

SEC filing index (10-K, 10-Q, 8-K, proxies) for a ticker. $0.01 USDC; add sections=[risk_factors, mdna] to extract full section text from the latest 10-K/10-Q for $0.05.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker (e.g. AAPL)"
    },
    "types": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Filter to filing types, e.g. [\"10-K\", \"8-K\"]"
    },
    "from_date": {
      "type": "string",
      "description": "Start date YYYY-MM-DD"
    },
    "to_date": {
      "type": "string",
      "description": "End date YYYY-MM-DD"
    },
    "sections": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Extract section text: risk_factors and/or mdna"
    },
    "accession": {
      "type": "string",
      "description": "Extract sections from this specific filing accession number"
    }
  },
  "required": [
    "ticker"
  ]
}
🟡get_bars(ticker, interval, date, start, end, ...)

Resampled intraday bars at custom timeframes (3, 6, 9, 12, 15, 30, 60, 240 min) for one ticker. Every bar carries absolute open/high/low/close plus fractional change from the daily open, whatever the interval, and volume and transactions. $0.015 USDC per day.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker (e.g. AAPL)"
    },
    "interval": {
      "type": "integer",
      "description": "Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240"
    },
    "date": {
      "type": "string",
      "description": "Trading date YYYY-MM-DD"
    },
    "start": {
      "type": "string",
      "description": "Multi-day start date"
    },
    "end": {
      "type": "string",
      "description": "Multi-day end date"
    },
    "adjusted": {
      "type": "boolean",
      "description": "Apply split adjustment (default false)"
    }
  },
  "required": [
    "ticker",
    "interval"
  ]
}
🟢get_sample

FREE, no payment: real intraday OHLCV bars for AAPL on 2024-01-02, identical in shape to a paid query. Call this first to verify data quality before spending. Takes no arguments — fixed ticker and date.

輸入結構描述

{
  "type": "object",
  "properties": {}
}
🟢get_pricing

Pricing and data coverage information. Free.

輸入結構描述

{
  "type": "object",
  "properties": {}
}
🟢get_stats

Platform statistics. Free.

輸入結構描述

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

建議的提示詞

search_research
Search for information about [topic] using Cabrini Market Data
預期的工具： query_minute_bars
find_specific
Find [specific item] using Cabrini Market Data
預期的工具： query_minute_bars
retrieve_data
Get details about [item] from Cabrini Market Data
預期的工具： get_brief
fetch_info
Fetch [information type] using Cabrini Market Data
預期的工具： get_brief
list_items
List all [items] available in Cabrini Market Data
預期的工具： list_tickers

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可用率：100.0%
延遲：277ms

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已驗證未記錄版本15 個工具
已驗證未記錄版本15 個工具