_ registry / mcp streamable-http

Dataporium

https://mcp.dataporium.io

Registry code: c309a1101d41ba23

api record

Dataporium financial and real-estate data (dataporium.tech).

Tips:

endpoint
https://mcp.dataporium.io/mcp
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
unknown
uptime
—
latency
—

last good check

priced tools
0

of 36 tools

_ used through this hub 30 days

The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.

accounts
0

distinct, expensive to fake

calls served
0

successful, last 30 days

_ what it can do 36 tools
36 never probed 0 of 36 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • get_industry_classification unknown never probed

    Industry and sector classification of a company (revenue-based sector/industry, NAICS sector, SIC category).

    mcp-tool

    {
  "type": "object",
  "title": "get_industry_classificationArguments",
  "properties": {
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    }
  }
}
    arguments 43 lines
  • search_symbols unknown never probed

    Find a company's tickers across exchanges (main ticker, all listed symbols, CIK). Use this first when you only know a company name. Give symbol OR company_name (exact name, e.g. 'Apple Inc.').

    mcp-tool

    {
  "type": "object",
  "title": "search_symbolsArguments",
  "properties": {
    "cik": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Cik",
      "default": null
    },
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "main_ticker": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Main Ticker",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    }
  }
}
    arguments 67 lines
  • get_company_profile unknown never probed

    Company profile and fundamentals: sector, industry, description, address, employees, market cap, valuation ratios, dividends, analyst targets and more (also used by the stock screener).

    mcp-tool

    {
  "type": "object",
  "title": "get_company_profileArguments",
  "properties": {
    "page": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Page",
      "default": null
    },
    "limit": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Limit",
      "default": null
    },
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "sort_by": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Sort By",
      "default": null
    },
    "sort_order": {
      "anyOf": [
        {
          "enum": [
            "asc",
            "desc"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Sort Order",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    }
  }
}
    arguments 95 lines
  • get_company_logo unknown never probed

    Logo image URL of a company.

    mcp-tool

    {
  "type": "object",
  "title": "get_company_logoArguments",
  "properties": {
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    }
  }
}
    arguments 30 lines
  • get_stock_prices unknown never probed

    Price history (open, high, low, close, volume) plus dividends of a stock, ETF or index. interval '1d' = daily bars (full history available), '5m' = 5-minute bars of about the last month. points = how many of the newest bars to return (default 250, about one trading year of daily bars; up to about 500 fit in one answer).

    mcp-tool

    {
  "type": "object",
  "title": "get_stock_pricesArguments",
  "required": [
    "ticker"
  ],
  "properties": {
    "points": {
      "type": "integer",
      "title": "Points",
      "default": 250
    },
    "ticker": {
      "type": "string",
      "title": "Ticker"
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "interval": {
      "enum": [
        "1d",
        "5m"
      ],
      "type": "string",
      "title": "Interval",
      "default": "1d"
    }
  }
}
    arguments 40 lines
  • get_commodity_prices unknown never probed

    Commodity futures prices, e.g. GC=F gold, SI=F silver, CL=F crude oil, NG=F natural gas. interval '1d' or '5m'; points = how many of the newest bars to return (default 250).

    mcp-tool

    {
  "type": "object",
  "title": "get_commodity_pricesArguments",
  "required": [
    "symbol"
  ],
  "properties": {
    "points": {
      "type": "integer",
      "title": "Points",
      "default": 250
    },
    "symbol": {
      "type": "string",
      "title": "Symbol"
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "interval": {
      "enum": [
        "1d",
        "5m"
      ],
      "type": "string",
      "title": "Interval",
      "default": "1d"
    }
  }
}
    arguments 40 lines
  • get_fx_rates unknown never probed

    Currency exchange rates. currency_conversion like 'USD-EUR'. interval picks the bar size (5m and 1h cover recent days, 1d/1w/1mo cover years).

    mcp-tool

    {
  "type": "object",
  "title": "get_fx_ratesArguments",
  "required": [
    "currency_conversion"
  ],
  "properties": {
    "date": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Date",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "interval": {
      "enum": [
        "5m",
        "1h",
        "1d",
        "1w",
        "1mo"
      ],
      "type": "string",
      "title": "Interval",
      "default": "1d"
    },
    "currency_conversion": {
      "type": "string",
      "title": "Currency Conversion"
    }
  }
}
    arguments 50 lines
  • get_financial_statements unknown never probed

    Financial statements (income statement, balance sheet, cash flow). summary=True returns the compact summary version with the key lines. Filter by fiscal_year (e.g. 2025), fiscal_qtr (e.g. Q2) or fiscal_year_qtr (e.g. 2025Q2); period_type e.g. annual or quarterly.

    mcp-tool

    {
  "type": "object",
  "title": "get_financial_statementsArguments",
  "required": [
    "statement"
  ],
  "properties": {
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "summary": {
      "type": "boolean",
      "title": "Summary",
      "default": false
    },
    "statement": {
      "enum": [
        "income",
        "balance_sheet",
        "cash_flow"
      ],
      "type": "string",
      "title": "Statement"
    },
    "fiscal_qtr": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Fiscal Qtr",
      "default": null
    },
    "fiscal_year": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Fiscal Year",
      "default": null
    },
    "period_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period Type",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    },
    "fiscal_year_qtr": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Fiscal Year Qtr",
      "default": null
    }
  }
}
    arguments 108 lines
  • get_business_segments unknown never probed

    Revenue by business segment, product and geography, from company filings.

    mcp-tool

    {
  "type": "object",
  "title": "get_business_segmentsArguments",
  "properties": {
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "fiscal_year": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Fiscal Year",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    },
    "fiscal_yearqtr": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Fiscal Yearqtr",
      "default": null
    }
  }
}
    arguments 67 lines
  • get_sec_filings unknown never probed

    SEC filings of a company (10-K, 10-Q, 8-K, ...) with links. form_type filters by form.

    mcp-tool

    {
  "type": "object",
  "title": "get_sec_filingsArguments",
  "properties": {
    "cik": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Cik",
      "default": null
    },
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "form_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Form Type",
      "default": null
    },
    "accessionnumber": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Accessionnumber",
      "default": null
    }
  }
}
    arguments 54 lines
  • get_earnings_transcripts unknown never probed

    Earnings call transcripts. Filter by fiscal_year and fiscal_qtr (e.g. Q3) to get one call; transcripts are long.

    mcp-tool

    {
  "type": "object",
  "title": "get_earnings_transcriptsArguments",
  "properties": {
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "fiscal_qtr": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Fiscal Qtr",
      "default": null
    },
    "fiscal_year": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Fiscal Year",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    }
  }
}
    arguments 67 lines
  • get_company_documents unknown never probed

    Investor presentations (slide decks with links) or press releases of a company.

    mcp-tool

    {
  "type": "object",
  "title": "get_company_documentsArguments",
  "required": [
    "kind"
  ],
  "properties": {
    "kind": {
      "enum": [
        "presentations",
        "press_releases"
      ],
      "type": "string",
      "title": "Kind"
    },
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    }
  }
}
    arguments 54 lines
  • get_stock_news unknown never probed

    Recent news articles about one company or crypto coin (full text, sentiment, tags). ticker e.g. AAPL or BTC-USD.

    mcp-tool

    {
  "type": "object",
  "title": "get_stock_newsArguments",
  "properties": {
    "ticker": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Ticker",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "stock_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Stock Type",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    }
  }
}
    arguments 55 lines
  • get_market_news unknown never probed

    Latest market-wide news by topic (general, stock, forex, crypto).

    mcp-tool

    {
  "type": "object",
  "title": "get_market_newsArguments",
  "properties": {
    "page": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Page",
      "default": null
    },
    "topic": {
      "enum": [
        "general",
        "stock",
        "forex",
        "crypto"
      ],
      "type": "string",
      "title": "Topic",
      "default": "general"
    }
  }
}
    arguments 29 lines
  • get_calendar unknown never probed

    Market calendars: 'earnings_splits' (earnings dates and stock splits, filter by symbol), 'ipo' (upcoming and recent IPOs), 'economic' (economic events like CPI or Fed decisions, filter by event_name/country).

    mcp-tool

    {
  "type": "object",
  "title": "get_calendarArguments",
  "required": [
    "kind"
  ],
  "properties": {
    "kind": {
      "enum": [
        "earnings_splits",
        "ipo",
        "economic"
      ],
      "type": "string",
      "title": "Kind"
    },
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "country": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Country",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "event_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Event Name",
      "default": null
    },
    "calendar_year": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Calendar Year",
      "default": null
    },
    "calendar_month": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Calendar Month",
      "default": null
    }
  }
}
    arguments 91 lines
  • get_exchange_schedule unknown never probed

    Stock exchange trading hours or holidays. exchange e.g. NYSE, NASDAQ, LSE.

    mcp-tool

    {
  "type": "object",
  "title": "get_exchange_scheduleArguments",
  "required": [
    "kind"
  ],
  "properties": {
    "kind": {
      "enum": [
        "hours",
        "holidays"
      ],
      "type": "string",
      "title": "Kind"
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "exchange": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Exchange",
      "default": null
    }
  }
}
    arguments 42 lines
  • get_market_movers unknown never probed

    Today's biggest stock gainers, losers or most active stocks.

    mcp-tool

    {
  "type": "object",
  "title": "get_market_moversArguments",
  "properties": {
    "status": {
      "enum": [
        "gainer",
        "loser",
        "active"
      ],
      "type": "string",
      "title": "Status",
      "default": "gainer"
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "exchange": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Exchange",
      "default": null
    }
  }
}
    arguments 41 lines
  • get_sector_industry_performance unknown never probed

    Daily performance or P/E history of market sectors or industries (e.g. sector 'Technology', exchange 'NASDAQ').

    mcp-tool

    {
  "type": "object",
  "title": "get_sector_industry_performanceArguments",
  "required": [
    "kind"
  ],
  "properties": {
    "date": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Date",
      "default": null
    },
    "kind": {
      "enum": [
        "sector_performance",
        "sector_pe",
        "industry_performance",
        "industry_pe"
      ],
      "type": "string",
      "title": "Kind"
    },
    "sector": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Sector",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "exchange": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Exchange",
      "default": null
    },
    "industry": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Industry",
      "default": null
    }
  }
}
    arguments 80 lines
  • get_insider_activity unknown never probed

    Insider trading: recent 'transactions', insiders' 'holdings_summary', or full 'transaction_history'.

    mcp-tool

    {
  "type": "object",
  "title": "get_insider_activityArguments",
  "required": [
    "kind"
  ],
  "properties": {
    "kind": {
      "enum": [
        "transactions",
        "holdings_summary",
        "transaction_history"
      ],
      "type": "string",
      "title": "Kind"
    },
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    }
  }
}
    arguments 55 lines
  • get_shareholders unknown never probed

    Institutional ownership: 'major' holders, 'quarterly' 13F holdings (filters year, qtr, period), 'quarterly_summary', ownership 'by_type', share 'class', and holders by country 'geo'.

    mcp-tool

    {
  "type": "object",
  "title": "get_shareholdersArguments",
  "required": [
    "kind"
  ],
  "properties": {
    "kind": {
      "enum": [
        "major",
        "quarterly",
        "quarterly_summary",
        "by_type",
        "class",
        "geo"
      ],
      "type": "string",
      "title": "Kind"
    },
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    }
  }
}
    arguments 58 lines
  • get_options_chain unknown never probed

    Option chain (calls and puts with strikes, expirations, prices, volume, open interest) for a stock.

    mcp-tool

    {
  "type": "object",
  "title": "get_options_chainArguments",
  "required": [
    "symbol"
  ],
  "properties": {
    "symbol": {
      "type": "string",
      "title": "Symbol"
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    }
  }
}
    arguments 26 lines
  • get_ma_transactions unknown never probed

    Mergers, acquisitions and investments. 'deals' = full deal records for a company (symbol/company_name), 'summary' = shorter records, 'flat' = one row per deal with filters like ticker_buyer, ticker_target, txn_stage, date_announced, 'reports' = aggregated counts by level/level_values, 'filters' = searchable deal list.

    mcp-tool

    {
  "type": "object",
  "title": "get_ma_transactionsArguments",
  "properties": {
    "view": {
      "enum": [
        "deals",
        "summary",
        "flat",
        "reports",
        "filters"
      ],
      "type": "string",
      "title": "View",
      "default": "deals"
    },
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    }
  }
}
    arguments 55 lines
  • get_social_media unknown never probed

    A company's social media and employer data: X (Twitter) profile/posts/follower history, LinkedIn profile/posts/followers and employees, Glassdoor profile and ratings.

    mcp-tool

    {
  "type": "object",
  "title": "get_social_mediaArguments",
  "required": [
    "dataset"
  ],
  "properties": {
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "dataset": {
      "enum": [
        "x_profile",
        "x_posts",
        "x_followers",
        "linkedin_profile",
        "linkedin_posts",
        "linkedin_followers_employees",
        "glassdoor_profile",
        "glassdoor_ratings"
      ],
      "type": "string",
      "title": "Dataset"
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    }
  }
}
    arguments 60 lines
  • get_economic_metrics unknown never probed

    US economic time series. economic_metrics is one of: GDP, real_GDP, real_GDP_Per_Capita, nominal_Potential_GDP, CPI, inflation, inflation_Rate, federal_Funds, unemployment_Rate, total_Non_farm_Payroll, initial_Claims, retail_Sales, consumer_Sentiment, durable_Goods, industrial_Production_Total_Index, new_Privately_Owned_HousingUnits_Started_Total_Units, total_Vehicle_Sales, retail_Money_Funds, smoothed_US_Recession_Probabilities, 30Year_Fixed_Rate_Mortgage_Average, 15Year_Fixed_Rate_Mortgage_Average, commercial_Bank_Interest_Rate_On_Credit_Card_Plans__All_Accounts, 3Month_Or_90Day_Rates_And_Yields_Certificates_Of_Deposit.

    mcp-tool

    {
  "type": "object",
  "title": "get_economic_metricsArguments",
  "required": [
    "economic_metrics"
  ],
  "properties": {
    "date": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Date",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "economic_metrics": {
      "type": "string",
      "title": "Economic Metrics"
    }
  }
}
    arguments 38 lines
  • get_energy_data unknown never probed

    US Energy Information Administration data. category e.g. petroleum, natural-gas, electricity, coal, co2-emissions, total-energy; location e.g. a state code (TX); period e.g. 2024; period_type annual/monthly.

    mcp-tool

    {
  "type": "object",
  "title": "get_energy_dataArguments",
  "required": [
    "category"
  ],
  "properties": {
    "period": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period",
      "default": null
    },
    "dataset": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Dataset",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "category": {
      "type": "string",
      "title": "Category"
    },
    "location": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Location",
      "default": null
    },
    "period_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period Type",
      "default": null
    }
  }
}
    arguments 74 lines
  • get_healthcare_market unknown never probed

    Healthcare market data: drug/brand revenue by quarter (brand_revenue, filter symbol), company revenue by healthcare industry, market size by country/region, company market share, industry market size and therapy-area market size. industry values: Pharmaceutical, Medical Device, Diagnostic Life Science, Consumer Healthcare, Health Insurance, Healthcare, Distributor, Veterinary, and others.

    mcp-tool

    {
  "type": "object",
  "title": "get_healthcare_marketArguments",
  "required": [
    "dataset"
  ],
  "properties": {
    "symbol": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Symbol",
      "default": null
    },
    "dataset": {
      "enum": [
        "brand_revenue",
        "company_revenue",
        "geo_market_size",
        "market_share",
        "industry_market_size",
        "therapy_market_size"
      ],
      "type": "string",
      "title": "Dataset"
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "industry": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Industry",
      "default": null
    },
    "company_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Company Name",
      "default": null
    }
  }
}
    arguments 70 lines
  • get_property_listings unknown never probed

    US property listings with price, beds, baths, size, dates, photos and agent. Give a location (zip_code is best). active_only=True (for_sale, pending, rent) returns current listings and supports filters beds_gte, beds_lte, list_price_gte, list_price_lte, style, list_date_gte. 'sold' needs a last_sold_date filter (e.g. filters={'last_sold_date_gte': '2025-01-01'}); history endpoints need a list_date filter.

    mcp-tool

    {
  "type": "object",
  "title": "get_property_listingsArguments",
  "required": [
    "listing"
  ],
  "properties": {
    "city": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "City",
      "default": null
    },
    "state": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "State",
      "default": null
    },
    "county": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "County",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "listing": {
      "enum": [
        "for_sale",
        "pending",
        "rent",
        "sold",
        "off_market"
      ],
      "type": "string",
      "title": "Listing"
    },
    "zip_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Zip Code",
      "default": null
    },
    "active_only": {
      "type": "boolean",
      "title": "Active Only",
      "default": true
    }
  }
}
    arguments 86 lines
  • get_housing_market unknown never probed

    Housing market time series (home values, rents, inventory, sales, affordability) by region. Examples: region_name='77493', region_type='zip'; region_name='United States', region_type='country'.

    mcp-tool

    {
  "type": "object",
  "title": "get_housing_marketArguments",
  "properties": {
    "date": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Date",
      "default": null
    },
    "state": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "State",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "data_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Data Type",
      "default": null
    },
    "region_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Region Name",
      "default": null
    },
    "region_type": {
      "anyOf": [
        {
          "enum": [
            "country",
            "state",
            "msa",
            "county",
            "city",
            "zip",
            "neighborhood"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Region Type",
      "default": null
    },
    "report_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Report Name",
      "default": null
    }
  }
}
    arguments 100 lines
  • get_property_tax unknown never probed

    Property tax rates by state, county, city or ZIP code.

    mcp-tool

    {
  "type": "object",
  "title": "get_property_taxArguments",
  "properties": {
    "zip": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Zip",
      "default": null
    },
    "city": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "City",
      "default": null
    },
    "state": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "State",
      "default": null
    },
    "county": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "County",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    }
  }
}
    arguments 67 lines
  • get_neighborhood_data unknown never probed

    Area data for US places: crime rates, census demographics, environmental hazards, climate risk, air quality and a neighborhood profile (schools, amenities, walkability, noise). level e.g. state, county, city or zip.

    mcp-tool

    {
  "type": "object",
  "title": "get_neighborhood_dataArguments",
  "required": [
    "dataset"
  ],
  "properties": {
    "zip": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Zip",
      "default": null
    },
    "city": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "City",
      "default": null
    },
    "level": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Level",
      "default": null
    },
    "state": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "State",
      "default": null
    },
    "county": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "County",
      "default": null
    },
    "dataset": {
      "enum": [
        "crime",
        "demographics",
        "environmental_hazards",
        "climate_risk",
        "air_quality",
        "neighborhood_profile"
      ],
      "type": "string",
      "title": "Dataset"
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "state_abbr": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "State Abbr",
      "default": null
    }
  }
}
    arguments 106 lines
  • describe_screen_fields unknown never probed

    Fields you can filter and rank on in screen_stocks / screen_areas, with unit, description and typical range (10th, 50th, 90th percentile). Call this before screening to choose realistic thresholds. For areas pass the level you will screen (ranges differ between states, cities and ZIPs).

    mcp-tool

    {
  "type": "object",
  "title": "describe_screen_fieldsArguments",
  "required": [
    "dataset"
  ],
  "properties": {
    "level": {
      "anyOf": [
        {
          "enum": [
            "state",
            "county",
            "metro",
            "city",
            "zip"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Level",
      "default": null
    },
    "dataset": {
      "enum": [
        "stocks",
        "areas"
      ],
      "type": "string",
      "title": "Dataset"
    }
  }
}
    arguments 36 lines
  • screen_stocks unknown never probed

    START HERE for broad stock questions (no specific company named). Ranks ~45,000 companies in one call. filters: {"field": [min, max]} using fields from describe_screen_fields("stocks"), e.g. {"market_cap": [2e9, null], "forward_pe": [5, 15], "revenue_growth_pct": [10, null], "debt_to_equity": [null, 1]}. Percent fields are in percent (10 = 10%). sector/industry/country/exchange: lists, partial match (e.g. sector ["Technology"], country ["United States"]). sort_by any field, e.g. "fcf_yield_pct". Returns at most 50 rows plus total_matches; use offset for the next page.

    mcp-tool

    {
  "type": "object",
  "title": "screen_stocksArguments",
  "properties": {
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 20
    },
    "query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Query",
      "default": null
    },
    "fields": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Fields",
      "default": null
    },
    "offset": {
      "type": "integer",
      "title": "Offset",
      "default": 0
    },
    "sector": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Sector",
      "default": null
    },
    "country": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Country",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "sort_by": {
      "type": "string",
      "title": "Sort By",
      "default": "market_cap"
    },
    "exchange": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Exchange",
      "default": null
    },
    "industry": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Industry",
      "default": null
    },
    "sort_order": {
      "anyOf": [
        {
          "enum": [
            "asc",
            "desc"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Sort Order",
      "default": "desc"
    },
    "pending_target": {
      "anyOf": [
        {
          "type": "boolean"
        },
        {
          "type": "null"
        }
      ],
      "title": "Pending Target",
      "default": null
    }
  }
}
    arguments 149 lines
  • screen_areas unknown never probed

    START HERE for broad real-estate questions (where to buy, rent out, or live). Ranks every state, county, metro, city or ZIP in one call on home values and 1-year change, rent and rent yield, Zillow forecast, market speed (metros), active listings, crime, population and income, unemployment, air quality, flood/earthquake risk, weather and property tax. filters: {"field": [min, max]}, e.g. {"gross_rent_yield_pct": [7, null], "population": [50000, null], "crime_rate_per_1000": [null, 30]}. states: ["TX", "FL"]. flood_risk: ["Low"]. Then use search_listings for homes in the best areas.

    mcp-tool

    {
  "type": "object",
  "title": "screen_areasArguments",
  "required": [
    "level"
  ],
  "properties": {
    "city": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "City",
      "default": null
    },
    "level": {
      "enum": [
        "state",
        "county",
        "metro",
        "city",
        "zip"
      ],
      "type": "string",
      "title": "Level"
    },
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 20
    },
    "metro": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Metro",
      "default": null
    },
    "county": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "County",
      "default": null
    },
    "fields": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Fields",
      "default": null
    },
    "offset": {
      "type": "integer",
      "title": "Offset",
      "default": 0
    },
    "states": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "States",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "sort_by": {
      "type": "string",
      "title": "Sort By",
      "default": "population"
    },
    "flood_risk": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Flood Risk",
      "default": null
    },
    "sort_order": {
      "anyOf": [
        {
          "enum": [
            "asc",
            "desc"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Sort Order",
      "default": "desc"
    }
  }
}
    arguments 154 lines
  • screen_ma_deals unknown never probed

    Find M&A deals across the market (default: the 12 months up to the newest deal). stage e.g. ["Completed"] or ["Announced/Pending"]; sectors and countries are partial matches (e.g. target_sector ["Health Care"], target_country ["United States"]); values in USD millions. Compact rows (date, buyer, target, tickers, value, stage, sectors, countries); use get_ma_transactions for full details of one deal.

    mcp-tool

    {
  "type": "object",
  "title": "screen_ma_dealsArguments",
  "properties": {
    "buyer": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Buyer",
      "default": null
    },
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 20
    },
    "stage": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Stage",
      "default": null
    },
    "offset": {
      "type": "integer",
      "title": "Offset",
      "default": 0
    },
    "target": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Target",
      "default": null
    },
    "date_to": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Date To",
      "default": null
    },
    "sort_by": {
      "enum": [
        "date",
        "value"
      ],
      "type": "string",
      "title": "Sort By",
      "default": "date"
    },
    "date_from": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Date From",
      "default": null
    },
    "sort_order": {
      "anyOf": [
        {
          "enum": [
            "asc",
            "desc"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Sort Order",
      "default": "desc"
    },
    "buyer_sector": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Buyer Sector",
      "default": null
    },
    "buyer_country": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Buyer Country",
      "default": null
    },
    "target_sector": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Target Sector",
      "default": null
    },
    "target_country": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Target Country",
      "default": null
    },
    "value_max_usd_mm": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Value Max Usd Mm",
      "default": null
    },
    "value_min_usd_mm": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Value Min Usd Mm",
      "default": null
    }
  }
}
    arguments 188 lines
  • search_listings unknown never probed

    Active homes for sale or rent in areas you already picked (use screen_areas first for broad questions). Needs zips (up to 25), or state + city, or state + county. style e.g. ["single_family", "condos", "townhomes", "multi_family"]. For rentals list_price is the monthly rent. At most 25 homes per call.

    mcp-tool

    {
  "type": "object",
  "title": "search_listingsArguments",
  "properties": {
    "city": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "City",
      "default": null
    },
    "sort": {
      "enum": [
        "price_asc",
        "price_desc",
        "ppsf_asc",
        "newest",
        "dom_asc",
        "sqft_desc"
      ],
      "type": "string",
      "title": "Sort",
      "default": "price_asc"
    },
    "zips": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Zips",
      "default": null
    },
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 10
    },
    "state": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "State",
      "default": null
    },
    "style": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Style",
      "default": null
    },
    "county": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "County",
      "default": null
    },
    "offset": {
      "type": "integer",
      "title": "Offset",
      "default": 0
    },
    "beds_min": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Beds Min",
      "default": null
    },
    "sqft_min": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Sqft Min",
      "default": null
    },
    "baths_min": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Baths Min",
      "default": null
    },
    "price_max": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Price Max",
      "default": null
    },
    "price_min": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Price Min",
      "default": null
    },
    "listing_type": {
      "enum": [
        "sale",
        "rent"
      ],
      "type": "string",
      "title": "Listing Type",
      "default": "sale"
    },
    "year_built_min": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Year Built Min",
      "default": null
    },
    "new_construction": {
      "anyOf": [
        {
          "type": "boolean"
        },
        {
          "type": "null"
        }
      ],
      "title": "New Construction",
      "default": null
    },
    "max_days_on_market": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Max Days On Market",
      "default": null
    }
  }
}
    arguments 200 lines
  • list_filters unknown never probed

    List every filter (API parameter) a tool accepts, with descriptions, for use in its `filters` argument. tool is a tool name such as 'get_property_listings' or 'get_financial_statements'.

    mcp-tool

    {
  "type": "object",
  "title": "list_filtersArguments",
  "required": [
    "tool"
  ],
  "properties": {
    "tool": {
      "type": "string",
      "title": "Tool"
    }
  }
}
    arguments 13 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/c309a1101d41ba23/badge.svg)](https://brick.blue/agent/c309a1101d41ba23)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Own the domain? Prove it and the listing carries a verified badge here too: passport.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.