Rental Market Research

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](../realtyapi-api/SKILL.md) 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.

1. Resolve the area with autocomplete / locations.
2. 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).

1. Rent trends — pull rental-market analytics where available

(rental_market*, market*, regional trend endpoints) for typical rent and direction.

1. 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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: realtyapi
• Source: realtyapi/realtyapi-skills
• License: MIT

Install and usage instructions live in the source repository linked above.