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分类: 数据与分析无需 API Key

Pipeworx Housing Analyst

整合 FRED、BLS、ATTOM 与 HUD API 数据,提供全国及地区住房市场分析,实现全面的物业与市场洞察。

person作者: brucegutmanhubclawhub

Pipeworx Housing Analyst

Housing Intel MCP — Meta-pack that chains FRED, BLS, ATTOM, and HUD APIs

Setup

{
  "mcpServers": {
    "housing-intel": {
      "url": "https://gateway.pipeworx.io/mcp?task=housing%20analysis"
    }
  }
}

Compound tools (start here)

These combine multiple data sources into one call:

| Tool | Description | |------|-------------| | housing_market_snapshot | Get a national housing market snapshot — 30-year mortgage rates, housing starts, Case-Shiller home p | | housing_property_report | Complete property analysis combining ATTOM data — property details, automated valuation (AVM), sales | | housing_rental_analysis | Rental market analysis for a property and area — estimated rent (ATTOM), fair market rents (HUD, if | | housing_affordability_check | Check housing affordability metrics — current mortgage rate (national), median home price (national) | | housing_employment_outlook | Labor market indicators relevant to housing — total nonfarm employment, construction employment, res | | housing_signal_scan | Comprehensive housing market signal scan — checks 45+ indicators for reversals, unusual moves, accel |

Individual tools

For granular queries, these are also available:

| Tool | Description | |------|-------------| | fred_get_series | Get observations (data points) for a FRED series. Key housing series: MORTGAGE30US (30-year mortgage | | fred_search | Search for FRED series by keyword. Useful for discovering series IDs for housing, employment, inflat | | fred_series_info | Get metadata about a FRED series: title, units, frequency, seasonal adjustment, notes, and date rang | | fred_category | Browse FRED categories. Use category_id=0 for the root. Useful for exploring available data by topic | | fred_releases | Get the latest FRED data releases. Shows upcoming and recent releases of economic data. | | bls_get_series | Get time series data from the Bureau of Labor Statistics for one or more series. Supports employment | | bls_search | Search for BLS series IDs by keyword from a curated catalog of popular housing, employment, wages, p | | bls_latest | Get just the most recent data point for a BLS series. Useful for quick current-value lookups. | | bls_popular_series | List all curated popular BLS series with IDs and descriptions, organized by category (housing, emplo | | attom_property_detail | Get full property characteristics by address — lot size, square footage, bedrooms, bathrooms, year b | | attom_property_search | Search properties by location with optional filters. Search by postal code or by latitude/longitude | | attom_sales_history | Get complete sales history for a property (up to 10 years) — sale dates, prices, deed types, seller/ | | attom_avm | Get automated valuation (AVM) for a property — estimated market value, confidence score, value range | | attom_assessment | Get property tax assessment details — assessed value, market value, tax amount, tax year, and assess | | attom_sales_trend | Get market sales trends by ZIP code — average/median sale price, volume, and price changes over time |

Data sources

  • Fred: FRED MCP — Federal Reserve Economic Data (St. Louis Fed)
  • Bls: BLS MCP — Bureau of Labor Statistics public data API (v2)
  • Attom: ATTOM MCP — Premium real estate data from ATTOM Data Solutions
  • Hud: HUD MCP — U.S. Department of Housing and Urban Development APIs.

Tips

  • Start with compound tools — they handle errors and combine data automatically
  • Use ask_pipeworx if you're unsure which tool to use
  • Use remember/recall to save intermediate findings