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Pipeworx Housing Analyst

v1.0.0

Provides national and local housing market analysis by combining data from FRED, BLS, ATTOM, and HUD APIs for comprehensive property and market insights.

0· 74·0 current·0 all-time
byBruce Gutman@brucegutman

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for brucegutman/pipeworx-housing-analyst.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Pipeworx Housing Analyst" (brucegutman/pipeworx-housing-analyst) from ClawHub.
Skill page: https://clawhub.ai/brucegutman/pipeworx-housing-analyst
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install pipeworx-housing-analyst

ClawHub CLI

Package manager switcher

npx clawhub@latest install pipeworx-housing-analyst
Security Scan
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medium confidence
!
Purpose & Capability
Name/description claim to aggregate FRED, BLS, ATTOM, and HUD. SKILL.md instead directs the agent to use an external MCP gateway (gateway.pipeworx.io) to perform the chaining. ATTOM is a paid/premium provider that normally requires API credentials; the skill declares no required env vars or credentials. Using a third-party proxy that holds the provider keys is plausible, but the skill gives no provenance or explanation for how those credentials are handled, so the declared requirements are incomplete compared to the stated capability.
!
Instruction Scope
The instructions tell the agent to configure and call an external MCP server URL for 'housing analysis' (gateway.pipeworx.io). There are no instructions to read local files or env vars, which is good, but the skill explicitly routes potentially sensitive queries (property addresses, market context) to an external endpoint without describing what is transmitted, retained, or who controls that service. The SKILL.md also encourages using memory (remember/recall) for intermediate findings, which could persist sensitive data in agent memory.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk by the skill itself. This is the lowest-risk install profile.
!
Credentials
The skill requests no environment variables or credentials even though it claims integration with ATTOM (which normally requires an API key) and other services. The lack of declared credentials suggests the skill depends on the external gateway to hold provider keys; that is a design choice but it is not documented here and reduces transparency about who has access to your query data.
Persistence & Privilege
The skill is not marked always:true and is user-invocable only. It does reference using agent memory (remember/recall) for intermediate results, which is normal but users should be aware that that can persist data in the agent's memory store.
What to consider before installing
This skill delegates queries to an external gateway (gateway.pipeworx.io) rather than calling the named APIs directly and doesn't declare credentials for premium sources (ATTOM). Before installing: ask the publisher for the gateway's ownership, privacy and retention policies, and how ATTOM/HUD/FRED/BLS credentials are managed; confirm whether queries (including property addresses or personal data) are logged or stored; prefer a skill that documents its data flow or one that lets you supply your own API keys if you must use premium providers. If you can't verify the gateway operator and data-handling practices, avoid sending sensitive or personally identifiable information through this skill.

Like a lobster shell, security has layers — review code before you run it.

latestvk97a4mrdqyxpzhr719km8gakwh85awz1
74downloads
0stars
1versions
Updated 6d ago
v1.0.0
MIT-0

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:

ToolDescription
housing_market_snapshotGet a national housing market snapshot — 30-year mortgage rates, housing starts, Case-Shiller home p
housing_property_reportComplete property analysis combining ATTOM data — property details, automated valuation (AVM), sales
housing_rental_analysisRental market analysis for a property and area — estimated rent (ATTOM), fair market rents (HUD, if
housing_affordability_checkCheck housing affordability metrics — current mortgage rate (national), median home price (national)
housing_employment_outlookLabor market indicators relevant to housing — total nonfarm employment, construction employment, res
housing_signal_scanComprehensive housing market signal scan — checks 45+ indicators for reversals, unusual moves, accel

Individual tools

For granular queries, these are also available:

ToolDescription
fred_get_seriesGet observations (data points) for a FRED series. Key housing series: MORTGAGE30US (30-year mortgage
fred_searchSearch for FRED series by keyword. Useful for discovering series IDs for housing, employment, inflat
fred_series_infoGet metadata about a FRED series: title, units, frequency, seasonal adjustment, notes, and date rang
fred_categoryBrowse FRED categories. Use category_id=0 for the root. Useful for exploring available data by topic
fred_releasesGet the latest FRED data releases. Shows upcoming and recent releases of economic data.
bls_get_seriesGet time series data from the Bureau of Labor Statistics for one or more series. Supports employment
bls_searchSearch for BLS series IDs by keyword from a curated catalog of popular housing, employment, wages, p
bls_latestGet just the most recent data point for a BLS series. Useful for quick current-value lookups.
bls_popular_seriesList all curated popular BLS series with IDs and descriptions, organized by category (housing, emplo
attom_property_detailGet full property characteristics by address — lot size, square footage, bedrooms, bathrooms, year b
attom_property_searchSearch properties by location with optional filters. Search by postal code or by latitude/longitude
attom_sales_historyGet complete sales history for a property (up to 10 years) — sale dates, prices, deed types, seller/
attom_avmGet automated valuation (AVM) for a property — estimated market value, confidence score, value range
attom_assessmentGet property tax assessment details — assessed value, market value, tax amount, tax year, and assess
attom_sales_trendGet 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

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