zillow-comps

zillow-comps is a command for Claude Code, Cursor from HasData/zillow-mcp. It costs 12 tokens per session (249 once invoked), scanned A, original, MIT.

A procedure for finding recently sold Zillow properties that are similar to a given home. Comparable sales, often called comps, are nearby or similar sales used to help judge a property's price.

In plain words
What is it for?
It is for calculating median sale price and price per square foot, then listing the five closest comparable sales with their key details.
Why use it?
It reduces inconsistent property comparisons by defining filters for location, size, bedrooms, bathrooms, sale date, and the number of results to report.

Command for Claude CodeCursor

Written for Cursor and Claude Code: shipped in a Cursor plugin, but also a Claude Code command (commands/*.md).

Part of the hasdata-zillow-mcp plugin — 1 command, 1 MCP server shipped together

Good fit It is for calculating median sale price and price per square foot, then listing the five closest comparable sales with their key details.

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Install with agentmods
npx agentmods add commands/hasdata/zillow-mcp/zillow-comps
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/HasData/zillow-mcp

Made for: Claude Code, Cursor.

Or install hasdata-zillow-mcp, the plugin that ships this one along with the rest of its 1 command, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for zillow-comps

README.md
[![agentmods](https://agentmods.dev/badge/commands/hasdata/zillow-mcp/zillow-comps/github.svg)](https://agentmods.dev/commands/hasdata/zillow-mcp/zillow-comps)
Your own site
<a href="https://agentmods.dev/commands/hasdata/zillow-mcp/zillow-comps"><img src="https://agentmods.dev/badge/commands/hasdata/zillow-mcp/zillow-comps/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for zillow-comps

Your own site · 80×15
<a href="https://agentmods.dev/commands/hasdata/zillow-mcp/zillow-comps"><img src="https://agentmods.dev/badge/commands/hasdata/zillow-mcp/zillow-comps.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 249 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00012 $0.00249
Opus 5.5 $0.00005 $0.00100
Sonnet 5.5 $0.00002 $0.00050
Haiku 4.5 $0.00001 $0.00025

Measured 23d ago against content hash 40588542ce5a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

zillow-comps scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 23d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

commands/zillow-comps.md · 17 lines

What it actually says

Find recent comparable sales and summarise what they say about price.

Ask me for the area and the shape of the property if I have not already given them. The area is whatever Zillow accepts: a city, a ZIP code or a neighbourhood.

Then:

  1. Call hasdata_zillow_listing_getRealEstateListings with type: "sold", the area in keyword, and the bed and bath minimums that match the subject property. Add squareFeet_min_ and squareFeet_max_ at roughly plus or minus twenty percent of the subject when I gave me a size.
  2. Keep the sales from the last six months. Drop anything whose livingArea is more than a third away from the subject.
  3. Report the median price and the median price per square foot, then list the five closest comps with address, sold price, date, beds, baths and size.
  4. Say plainly how many sales the numbers rest on. Three comps and thirty comps are not the same answer.

If the area returns nothing, widen it once and say that you did. Do not silently switch to a different city.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 23d ago First seen · 17 lines · 12 tokens per session scan A 40588542ce5a

Subscribe to this mod's changes

zillow-comps is a command published in the GitHub repository HasData/zillow-mcp (11 stars, last pushed 4d ago), licensed MIT. It adds 12 tokens to every session and 249 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-23.