agentsclimarketplace

Rental market research

Skill realtyapi/realtyapi-skills/skills/rental-market-research

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 rental-market-research

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when the user wants to research rentals — long-term apartments/homes or short-term/vacation stays — in an area, and understand rent levels and trends. Searches the right rental portals (Apartments.com, HotPads, Zillow rentals, Flatmates, regional portals; Airbnb/Vrbo for short-term), pulls rent/market trends, and returns options plus a rent summary. Triggers on "find rentals in …", "what's rent for a 2-bed in …", "Airbnb options near …", "is rent rising in …".

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.0 KB, as published. Nobody here has run it

Rental Market Research

Overview

Help the user understand the rental picture for an area: available units that match their needs and what rent looks like (typical levels and trend). Works for long-term rentals and short-term/vacation stays.

Use realtyapi-api for auth and endpoint discovery.

When to Use

  • "Find 2-bed rentals under $2,500 in Denver."
  • "What does a furnished short-term stay cost near this address?"
  • "Is rent going up in this zip?"
  • Relocation, investment rent estimates, or budgeting.

Workflow

  1. Long-term vs. short-term? Long-term → apartments, hotpads, zillow rentals, flatmates (shared, AU), or the regional portal. Short-term/vacation → airbnb, vrbo, agoda, trip.
  2. Resolve the area with autocomplete / locations.
  3. Search rentals with the rent status filter set, plus beds/baths/price. Read the endpoint openapi.json for the exact params; paginate as needed (cap it).
  4. Rent trends — pull rental-market analytics where available (rental_market*, market*, regional trend endpoints) for typical rent and direction.
  5. Synthesize: options table + a short rent summary (median-ish level, range, trend). Distinguish observed listing rents from any modeled estimate.

Output Format

# Rental Research: {criteria} in {area}

Type: {long-term / short-term} · Portal(s): {} · {N} options

## Rent Summary
- Typical rent for {beds}-bed: {level / range}
- Trend: {rising / flat / falling} ({source})

## Options
| # | Address/Listing | Rent | Beds/Baths | Size | Available | Link |
|--:|-----------------|-----:|-----------|-----:|-----------|------|

## Notes
- Sorted by: {criterion} · Pages/credits used: {}
- Caveats: listing rents ≠ signed-lease rents; sample size {}

Common Pitfalls

  • Set the rent status — don't return for-sale homes by accident.
  • Short-term nightly rates aren't comparable to monthly long-term rent; label units.
  • A small number of listings is a weak trend signal — say so.
  • Respect credits across search pages and trend calls.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.