Agent Finder

Agent Finder

Overview

Find the right real estate agent for an area or property and back the recommendation with evidence — recent activity, specialization, and reviews — as a ranked shortlist.

Use [realtyapi-api](../realtyapi-api/SKILL.md) for auth and endpoint discovery.

When to Use

• "Find me a top buyer's agent in {area}."
• "Who are the most active listing agents for {neighborhood}?"
• "Who listed this property?"
• "Pull reviews for this agent."

Workflow

1. Pick the portal that has agent data for the market (US portals like redfin,

realtor, zillow have agent search/details/reviews; check llms.txt for agent* endpoints on the relevant portal).

1. Search agents for the area/criteria (agent/search, agentsearch), or get the

listing's agent (owner-agent, agentInfo) when starting from a property.

1. Enrich each candidate: profile/details, recent listings & sales, and reviews

(agentdetails, agentforsale/agentsold, agentreviews).

1. Score for fit — recent activity/volume in the user's area and price band,

buyer-vs-seller focus, property-type match, and review signal.

1. Shortlist with reasoning and contact/profile links.

Output Format

# Agent Shortlist: {area / property}

Portal: {} · {N} candidates

| # | Agent | Brokerage | Recent sales (12mo) | Area/price focus | Rating | Profile |
|--:|-------|-----------|--------------------:|------------------|-------:|---------|

## Recommendations
1. {agent} — fit because {recent activity in area + price band + reviews}
2. …

## Notes
- Ranked by: {criterion}
- Caveats: activity counts are from public portal data and may be partial.

Common Pitfalls

• Match the agent to the user's side (buyer vs. seller) and price band — raw sale

counts alone don't equal fit.

• Reviews can be sparse or skewed; treat them as one signal, not the verdict.
• Don't expose private contact info beyond what the public profile provides.
• Note that activity figures reflect public portal data and may undercount.

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.