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Investment deal finder

Skill realtyapi/realtyapi-skills/skills/investment-deal-finder

Real estate research skills for AI agents — property briefs, listing search, rentals, CMAs, investment deal screening, and agent finders, powered by RealtyAPI

Install
npx -y skills add realtyapi/realtyapi-skills --skill investment-deal-finder

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Use when the user wants to find and screen real estate investment opportunities — foreclosures/auctions, below-market or price-reduced listings, and rental-yield candidates. Searches auction and listing portals, pulls rent/valuation context, estimates a rough yield/margin, and returns ranked deal candidates with reasoning. Triggers on "find investment properties", "foreclosures/auctions in …", "high cash flow rentals", "undervalued homes", "what's a good rental deal in …".

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SKILL.md

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Investment Deal Finder

Overview

Surface and screen investment candidates against a simple, transparent rubric: acquisition price vs. estimated value (equity/margin) and, for rentals, rent vs. price (gross yield). Return a ranked shortlist with the math shown.

Use realtyapi-api for auth and endpoint discovery.

When to Use

  • "Find foreclosure/auction deals in {county}."
  • "Show price-reduced or below-market homes in {area}."
  • "Which rentals here cash-flow best?"
  • Building an investor's lead list for buy-and-hold or flips.

Workflow

  1. Strategy? Distressed/auction (→ auction), discounted resale (→ listing portals with price-reduced/sold filters), or rental-yield (→ listing + rental portals). Confirm the target market and budget.
  2. Source candidates — search the relevant portal(s) with filters (price ceiling, type, status, "price reduced" where supported). Paginate within a cap.
  3. Add value context — for each promising candidate, pull the valuation/estimate and (for rentals) typical rent (rental_market* or comparable rentals).
  4. Screen with the rubric:
    • Equity/margin = (estimated value − price) / estimated value.
    • Gross yield = annual rent / price (rentals).
    • Note obvious risks (auction = as-is, unknown condition/liens; thin comps).
  5. Rank by the user's objective (margin, yield, or a blend) and present.

Output Format

# Investment Candidates: {strategy} in {area}

Budget: {} · Portal(s): {} · Screened {N} of {M} found

| # | Address | Price | Est. value | Equity % | Est. rent | Gross yield | Risk | Link |
|--:|---------|------:|-----------:|--------:|----------:|------------:|------|------|

## Top Picks
1. {address} — why it scores: {margin/yield}, watch-outs: {}
2. …

## Method & Caveats
- Equity % = (est. value − price)/est. value · Gross yield = annual rent/price
- Estimates are model-based; auction props are as-is — verify condition, liens, fees.
- Not investment advice; do full due diligence before offering.

Common Pitfalls

  • Don't present model estimates as guaranteed value; distressed comps are noisy.
  • Auction/foreclosure = as-is — always flag unknown condition, liens, and buyer fees.
  • Yield from listing rents is a rough gross figure (excludes vacancy, taxes, mgmt).
  • Respect credits — screening adds valuation/rent calls per candidate; cap the set and tell the user the count.
  • Make clear this is research, not financial advice.

Keep looking

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