{
  "data": {
    "tool": {
      "category": "payment-platforms",
      "endpoint": "https://cabrini.ai/mcp",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cabrini-market-data.json",
      "kind": "mcp",
      "listed": "indexed",
      "liveUrl": "https://www.anchorterminal.com/api/v1/live/cabrini-market-data.json",
      "markdownUrl": "https://www.anchorterminal.com/tools/cabrini-market-data.md",
      "mcpTools": {
        "check": {
          "checker": "anchor-check/1.0",
          "totalTokens": 3142,
          "counts": {
            "error": 0,
            "note": 1,
            "warn": 16
          },
          "findings": [
            {
              "rule": "TC06",
              "severity": "warn",
              "tool": "get_stats",
              "message": "the description is \"Platform statistics. Free.\"",
              "fix": "Add when to use it, what it returns and any side effect, in two or three sentences."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "get_bars",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"get\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "get_brief",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"get\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "get_company",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"get\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "get_filings",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"get\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "get_fundamentals",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"get\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "get_insiders",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"get\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "get_pricing",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"get\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "get_sample",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"get\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "get_stats",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"get\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "list_tickers",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"list\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "query_batch",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"query\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "query_daily",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"query\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "query_minute_bars",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"query\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "query_range",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"query\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "scan_market",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
            },
            {
              "rule": "TC24",
              "severity": "note",
              "message": "15 of 15 tools have no outputSchema",
              "fix": "Declare outputSchema for tools that return structured data, and return structuredContent that matches it."
            }
          ]
        },
        "checkedAt": "2026-10-04T22:20:01Z",
        "count": 15,
        "note": "answered without the initialize handshake",
        "schemaTokens": 3142,
        "status": "ok",
        "tools": [
          {
            "name": "query_minute_bars",
            "description": "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.",
            "inputSchema": {
              "properties": {
                "date": {
                  "description": "YYYY-MM-DD",
                  "type": "string"
                },
                "interval": {
                  "description": "Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240 (default 3)",
                  "type": "integer"
                },
                "ticker": {
                  "description": "Stock ticker (e.g. AAPL)",
                  "type": "string"
                }
              },
              "required": [
                "ticker",
                "date"
              ],
              "type": "object"
            }
          },
          {
            "name": "list_tickers",
            "description": "List all tickers that traded on a given date. $0.005 USDC.",
            "inputSchema": {
              "properties": {
                "date": {
                  "description": "YYYY-MM-DD",
                  "type": "string"
                }
              },
              "required": [
                "date"
              ],
              "type": "object"
            }
          },
          {
            "name": "query_range",
            "description": "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.",
            "inputSchema": {
              "properties": {
                "end": {
                  "description": "End date YYYY-MM-DD",
                  "type": "string"
                },
                "interval": {
                  "description": "Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240 (default 3)",
                  "type": "integer"
                },
                "start": {
                  "description": "Start date YYYY-MM-DD",
                  "type": "string"
                },
                "ticker": {
                  "description": "Stock ticker (e.g. AAPL)",
                  "type": "string"
                }
              },
              "required": [
                "ticker",
                "start",
                "end"
              ],
              "type": "object"
            }
          },
          {
            "name": "query_batch",
            "description": "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.",
            "inputSchema": {
              "properties": {
                "date": {
                  "description": "YYYY-MM-DD",
                  "type": "string"
                },
                "tickers": {
                  "description": "List of ticker symbols",
                  "items": {
                    "type": "string"
                  },
                  "type": "array"
                }
              },
              "required": [
                "tickers",
                "date"
              ],
              "type": "object"
            }
          },
          {
            "name": "scan_market",
            "description": "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.",
            "inputSchema": {
              "properties": {
                "change_pct_max": {
                  "description": "Max intraday change %",
                  "type": "number"
                },
                "change_pct_min": {
                  "description": "Min intraday change %",
                  "type": "number"
                },
                "date": {
                  "description": "YYYY-MM-DD",
                  "type": "string"
                },
                "gap_down_pct": {
                  "description": "Min gap down % from prior close",
                  "type": "number"
                },
                "gap_up_pct": {
                  "description": "Min gap up % from prior close",
                  "type": "number"
                },
                "limit": {
                  "description": "Max results (default 50)",
                  "type": "integer"
                },
                "range_pct_min": {
                  "description": "Min intraday range (high-low)/open as a percent, e.g. 5 for 5%",
                  "type": "number"
                },
                "volume_min": {
                  "description": "Min total volume",
                  "type": "integer"
                },
                "volume_ratio_min": {
                  "description": "Min volume vs prior day (e.g. 2.0)",
                  "type": "number"
                }
              },
              "required": [
                "date"
              ],
              "type": "object"
            }
          },
          {
            "name": "query_daily",
            "description": "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.",
            "inputSchema": {
              "properties": {
                "end": {
                  "description": "End date YYYY-MM-DD",
                  "type": "string"
                },
                "start": {
                  "description": "Start date YYYY-MM-DD",
                  "type": "string"
                },
                "ticker": {
                  "description": "Stock ticker (e.g. AAPL)",
                  "type": "string"
                }
              },
              "required": [
                "ticker",
                "start",
                "end"
              ],
              "type": "object"
            }
          },
          {
            "name": "get_brief",
            "description": "Full research brief: price, fundamentals, insiders, splits for one ticker. $0.25 USDC.",
            "inputSchema": {
              "properties": {
                "date": {
                  "description": "As-of date YYYY-MM-DD (default: today)",
                  "type": "string"
                },
                "lookback_days": {
                  "description": "Days of price history, 1-365 (default 30)",
                  "maximum": 365,
                  "minimum": 1,
                  "type": "integer"
                },
                "ticker": {
                  "description": "Stock ticker (e.g. NVDA)",
                  "type": "string"
                }
              },
              "required": [
                "ticker"
              ],
              "type": "object"
            }
          },
          {
            "name": "get_company",
            "description": "Company profile: name, CIK, industry, exchange, fiscal year. $0.005 USDC.",
            "inputSchema": {
              "properties": {
                "ticker": {
                  "description": "Stock ticker (e.g. AAPL)",
                  "type": "string"
                }
              },
              "required": [
                "ticker"
              ],
              "type": "object"
            }
          },
          {
            "name": "get_fundamentals",
            "description": "Quarterly fundamentals from SEC EDGAR (revenue, EPS, margins, etc). $0.02 USDC.",
            "inputSchema": {
              "properties": {
                "from_date": {
                  "description": "Start date YYYY-MM-DD",
                  "type": "string"
                },
                "metrics": {
                  "description": "Filter metrics",
                  "items": {
                    "type": "string"
                  },
                  "type": "array"
                },
                "ticker": {
                  "description": "Stock ticker (e.g. AAPL)",
                  "type": "string"
                },
                "to_date": {
                  "description": "End date YYYY-MM-DD",
                  "type": "string"
                }
              },
              "required": [
                "ticker"
              ],
              "type": "object"
            }
          },
          {
            "name": "get_insiders",
            "description": "Insider transactions (Form 4) from SEC EDGAR. $0.02 USDC.",
            "inputSchema": {
              "properties": {
                "from_date": {
                  "description": "Start date YYYY-MM-DD",
                  "type": "string"
                },
                "ticker": {
                  "description": "Stock ticker (e.g. AAPL)",
                  "type": "string"
                },
                "to_date": {
                  "description": "End date YYYY-MM-DD",
                  "type": "string"
                }
              },
              "required": [
                "ticker"
              ],
              "type": "object"
            }
          },
          {
            "name": "get_filings",
            "description": "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.",
            "inputSchema": {
              "properties": {
                "accession": {
                  "description": "Extract sections from this specific filing accession number",
                  "type": "string"
                },
                "from_date": {
                  "description": "Start date YYYY-MM-DD",
                  "type": "string"
                },
                "sections": {
                  "description": "Extract section text: risk_factors and/or mdna",
                  "items": {
                    "type": "string"
                  },
                  "type": "array"
                },
                "ticker": {
                  "description": "Stock ticker (e.g. AAPL)",
                  "type": "string"
                },
                "to_date": {
                  "description": "End date YYYY-MM-DD",
                  "type": "string"
                },
                "types": {
                  "description": "Filter to filing types, e.g. [\"10-K\", \"8-K\"]",
                  "items": {
                    "type": "string"
                  },
                  "type": "array"
                }
              },
              "required": [
                "ticker"
              ],
              "type": "object"
            }
          },
          {
            "name": "get_bars",
            "description": "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.",
            "inputSchema": {
              "properties": {
                "adjusted": {
                  "description": "Apply split adjustment (default false)",
                  "type": "boolean"
                },
                "date": {
                  "description": "Trading date YYYY-MM-DD",
                  "type": "string"
                },
                "end": {
                  "description": "Multi-day end date",
                  "type": "string"
                },
                "interval": {
                  "description": "Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240",
                  "type": "integer"
                },
                "start": {
                  "description": "Multi-day start date",
                  "type": "string"
                },
                "ticker": {
                  "description": "Stock ticker (e.g. AAPL)",
                  "type": "string"
                }
              },
              "required": [
                "ticker",
                "interval"
              ],
              "type": "object"
            }
          },
          {
            "name": "get_sample",
            "description": "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.",
            "inputSchema": {
              "properties": {},
              "type": "object"
            }
          },
          {
            "name": "get_pricing",
            "description": "Pricing and data coverage information. Free.",
            "inputSchema": {
              "properties": {},
              "type": "object"
            }
          },
          {
            "name": "get_stats",
            "description": "Platform statistics. Free.",
            "inputSchema": {
              "properties": {},
              "type": "object"
            }
          }
        ]
      },
      "name": "Cabrini Market Data",
      "note": "Indexed from the official MCP registry: facts and our own checks, not reviewed, so no score, grade or rank.",
      "packages": null,
      "pageJsonUrl": "https://www.anchorterminal.com/tools/cabrini-market-data.json",
      "popularity": {
        "githubStars": 1
      },
      "registryName": "ai.cabrini/market-data",
      "remotes": [
        {
          "type": "streamable-http",
          "url": "https://cabrini.ai/mcp"
        }
      ],
      "repository": "https://github.com/nlapi/cabrini-py",
      "reviewed": false,
      "slug": "cabrini-market-data",
      "source": "the official MCP registry",
      "sourceUrl": "https://registry.modelcontextprotocol.io/v0.1/servers?search=ai.cabrini/market-data",
      "summary": "US equity data for AI agents — 23 years intraday + daily, SEC filings. x402 USDC payments.",
      "updatedAt": "2026-07-29T17:12:49Z",
      "url": "https://www.anchorterminal.com/tools/cabrini-market-data",
      "vendor": "cabrini.ai",
      "vendorUrl": "https://cabrini.ai",
      "version": "1.1.0",
      "websiteUrl": "",
      "where": "hosted",
      "why": [
        "vendor"
      ]
    }
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  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/tools/cabrini-market-data",
    "json": "https://www.anchorterminal.com/tools/cabrini-market-data.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/tools/cabrini-market-data.md",
    "slim": "https://www.anchorterminal.com/tools/cabrini-market-data.min.md"
  },
  "markdown": "# Cabrini Market Data\n\n\u003e Indexed, not reviewed: facts from the official MCP registry and our own checks. No score, grade or rank, and not in the rankings until the panel reviews it. How the index works: https://www.anchorterminal.com/indexed/\n\n- Kind: MCP server, by cabrini.ai (https://cabrini.ai)\n- Category: Payment \u0026 monetisation platforms (https://www.anchorterminal.com/categories/payment-platforms.md)\n- Listed because: It's published in the registry under cabrini.ai, a namespace the registry only gives to whoever proves they control that domain.\n- What the official MCP registry says: US equity data for AI agents — 23 years intraday + daily, SEC filings. x402 USDC payments.\n\n## Facts\n\n- MCP registry: `ai.cabrini/market-data` 1.1.0\n- Endpoint: https://cabrini.ai/mcp (streamable HTTP)\n- Source: https://github.com/nlapi/cabrini-py\n- GitHub stars: 1\n- Registry entry updated: 2026-07-29\n\n## Tools\n\n- Tools it lists (15, about 3,142 tokens of context, `tools/list` without credentials, checked 2026-10-04 22:20 UTC):\n  - `query_minute_bars`: 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…\n  - `list_tickers`: List all tickers that traded on a given date. $0.005 USDC.\n  - `query_range`: 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…\n  - `query_batch`: 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.\n  - `scan_market`: 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…\n  - `query_daily`: 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;…\n  - `get_brief`: Full research brief: price, fundamentals, insiders, splits for one ticker. $0.25 USDC.\n  - `get_company`: Company profile: name, CIK, industry, exchange, fiscal year. $0.005 USDC.\n  - `get_fundamentals`: Quarterly fundamentals from SEC EDGAR (revenue, EPS, margins, etc). $0.02 USDC.\n  - `get_insiders`: Insider transactions (Form 4) from SEC EDGAR. $0.02 USDC.\n  - `get_filings`: 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…\n  - `get_bars`: 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…\n  - `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.…\n  - `get_pricing`: Pricing and data coverage information. Free.\n  - `get_stats`: Platform statistics. Free.\n- How its tools read to an agent (0 errors, 16 warnings, 1 note, about 3,142 tokens; rules at https://www.anchorterminal.com/check.md; not part of the score):\n  - warn TC06 get_stats: the description is \"Platform statistics. Free.\"\n  - warn TC16 get_bars: no readOnlyHint or destructiveHint\n  - warn TC16 get_brief: no readOnlyHint or destructiveHint\n  - warn TC16 get_company: no readOnlyHint or destructiveHint\n  - warn TC16 get_filings: no readOnlyHint or destructiveHint\n  - warn TC16 get_fundamentals: no readOnlyHint or destructiveHint\n  - warn TC16 get_insiders: no readOnlyHint or destructiveHint\n  - warn TC16 get_pricing: no readOnlyHint or destructiveHint\n  - warn TC16 get_sample: no readOnlyHint or destructiveHint\n  - warn TC16 get_stats: no readOnlyHint or destructiveHint\n  - warn TC16 list_tickers: no readOnlyHint or destructiveHint\n  - warn TC16 query_batch: no readOnlyHint or destructiveHint\n  - warn TC16 query_daily: no readOnlyHint or destructiveHint\n  - warn TC16 query_minute_bars: no readOnlyHint or destructiveHint\n  - warn TC16 query_range: no readOnlyHint or destructiveHint\n  - warn TC16 scan_market: no readOnlyHint or destructiveHint\n  - note TC24 server: 15 of 15 tools have no outputSchema\n\n- JSON: https://www.anchorterminal.com/api/v1/tools/cabrini-market-data.json\n- Being indexed says nothing about quality, and nobody can pay for it. Ask for a review: https://www.anchorterminal.com/builders/#claiming\n",
  "meta": {
    "attribution": "Anchor Terminal (https://www.anchorterminal.com)",
    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-05",
    "license": "CC-BY-4.0",
    "method": "https://www.anchorterminal.com/benchmark/",
    "methodology": "0.3",
    "openapi": "https://www.anchorterminal.com/openapi.json",
    "preview": false,
    "run": "2026-10-01",
    "runLabel": "October 2026 research run"
  },
  "page": {
    "breadcrumbs": [
      {
        "name": "Home",
        "url": "https://www.anchorterminal.com/"
      },
      {
        "name": "Terminal",
        "url": "https://www.anchorterminal.com/tools/"
      },
      {
        "name": "Indexed",
        "url": "https://www.anchorterminal.com/indexed/"
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      {
        "name": "Cabrini Market Data",
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      }
    ],
    "description": "Cabrini Market Data, an MCP server by cabrini.ai, listed from the official MCP registry. Indexed, not reviewed: facts and our own checks, no score or ranking. US equity data for AI agents — 23 years intraday + daily, SEC filings. x402 USDC payments.",
    "facts": [
      "not reviewed",
      "not ranked",
      "facts only"
    ],
    "h1": "Cabrini Market Data",
    "image": "https://www.anchorterminal.com/assets/og/indexed.png",
    "path": "/tools/cabrini-market-data",
    "published": "",
    "section": "indexed",
    "title": "Cabrini Market Data, indexed from the official MCP registry",
    "toc": null,
    "updated": "2026-10-05",
    "url": "https://www.anchorterminal.com/tools/cabrini-market-data"
  },
  "tokens": {
    "markdown": 1300,
    "slim": 1230
  },
  "version": 1
}
