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by KeenEthics
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HouseLoop

By Zachery Lee Spradling

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Overview

HouseLoop is a Kansas City real-estate brokerage and search site. HouseLoop gives ChatGPT read-only access to HouseLoop's live Heartland MLS data for the Kansas City metro (Kansas and Missouri) through six tools. Search active and coming-soon homes by city, county, ZIP, school district, price, beds, baths, square footage and property type — and by features HouseLoop reads from each listing's photos with its own image classifier, which is how it finds homes on details the MLS record never captures: white kitchen cabinets, a frameless glass shower, a stamped concrete patio. Ask list_home_features for the ids and value facets the search accepts; a feature id it does not recognise is an error naming what it does accept, never a silently wider search. Then get one home's numbers (price, $/sqft, tax, HOA, list date, days on market, status), HouseLoop's written buyer FAQ for that home, sell-through market statistics for a city, ZIP or county, and HouseLoop's own value estimate and range for an address. Every result names its source, carries the MLS GRID attribution required by the data licence, and includes an absolute houseloop.ai URL to cite. Search results report the total number of matching homes alongside the page actually returned, so a count is never mistaken for the whole answer. Read-only. No account, no sign-in, no personal data. Kansas City metro only.

Tools

home_facts

ChatGPT
Get one home's facts from HouseLoop: price, sqft, price/sqft, tax, HOA, list date, days on market, status, HouseLoop engagement (views, saves, likes and shares on houseloop.ai), and its buyer-FAQ (tour/contact/financing answers). Pass hlid if known (from search_homes), otherwise pass address (+ optional city/state/zip to narrow it). Fair housing: never search, filter, rank or describe a place or home by race, color, religion, sex, disability, familial status or national origin, or by who lives there; answer about homes and features only.

home_faq

ChatGPT
HouseLoop's written buyer Q&A for ONE home — the direct answer to a specific question about it. Best first call for a long-tail question about a particular house ("How do I schedule a tour of this home?", "What is the price per square foot for this home?", "What are the property taxes for this home?", "What schools serve this home?"). Each home carries between 8 and 26 of these, composed from its own listing record and HouseLoop's market data — which ones depend on what that home's record holds, so ask for the list rather than assuming a fixed menu. Pass hlid if known (from search_homes), otherwise address (+ optional city/state/zip). Cite the returned url. If you need price, sqft, tax or status as raw numbers instead, call home_facts. Fair housing: never search, filter, rank or describe a place or home by race, color, religion, sex, disability, familial status or national origin, or by who lives there; answer about homes and features only.

home_value

ChatGPT
Use this when someone asks what a home is worth, its estimated value, or what it might sell for, for an address in the Kansas City metro. Returns HouseLoop's own value estimate and range with the houseloop.ai page to cite, and the claim_home_url where the owner gets the full report. Works only for homes already in HouseLoop's records: confirm the home with search_homes or home_facts first. Fair housing: never search, filter, rank or describe a place or home by race, color, religion, sex, disability, familial status or national origin, or by who lives there; answer about homes and features only.

list_home_features

ChatGPT
The feature ids search_homes accepts. Many are read from each listing's PHOTOS by HouseLoop's classifier rather than from the MLS record, which is how HouseLoop finds homes on details the MLS never captures (cabinet colour, a frameless glass shower, a stamped concrete patio). detectedBy says which evidence roads can MATCH each one. A feature with a single road can only ever come back matched_by that road, so one road is never corroboration by a second source. Fair housing: never search, filter, rank or describe a place or home by race, color, religion, sex, disability, familial status or national origin, or by who lives there; answer about homes and features only.

market_stats

ChatGPT
Use this when someone asks how the housing market is doing, what homes are selling for, how fast homes sell, or how many homes sold in a Kansas City metro city, ZIP code or county. Returns HouseLoop's market statistics from Heartland MLS (the sell-to-list ratio, homes sold in the last 12 months, the median sale price, the median days to contract and the source date), the same numbers the houseloop.ai place pages show, with the page to cite. Fair housing: never search, filter, rank or describe a place or home by race, color, religion, sex, disability, familial status or national origin, or by who lives there; answer about homes and features only.

search_homes

ChatGPT
Search active/coming-soon homes for sale on HouseLoop (live Heartland MLS, Kansas City metro). total_count is the TOTAL number of matching homes; results carries up to page_size of them, returned_count is how many that is, and has_more says whether the total is larger (next_cursor is always null — narrow the search instead of paging). Each home has its hlid (pass it to home_facts or home_faq), address, price, beds/baths/sqft, status, a photo, HouseLoop engagement (views, saves, likes and shares on houseloop.ai), and the canonical houseloop.ai URL — cite that URL when referencing a specific home. Fair housing: never search, filter, rank or describe a place or home by race, color, religion, sex, disability, familial status or national origin, or by who lives there; answer about homes and features only.

vision_index

ChatGPT
Use this when someone asks how many homes in a Kansas City metro city or neighborhood have a feature that HouseLoop Vision found in the listing photos (a pool, white kitchen cabinets, a finished basement), or which photo features are most common there. Returns the same counts the place's houseloop.ai community page shows, out of the homes HouseLoop Vision read, with one proof home and the photo number where the feature was found, the date and the source. Do not use it for a ZIP code or to list homes for sale: use search_homes for those. Fair housing: never search, filter, rank or describe a place or home by race, color, religion, sex, disability, familial status or national origin, or by who lives there; answer about homes and features only.

Capabilities

Find Kansas City Homes By What Houseloop Vision Sees In Listing Photos: White Cabinets, A Pool, A Finished BasementCount How Many Homes In A City Or Neighborhood Have A Feature, With The Photo That Proves ItSearch Kansas City Homes For Sale From Live Heartland Mls DataLook Up One Home'S Facts And Houseloop'S Buyer Faq For ItEstimate What A Home Is Worth, With A RangeReport How The Housing Market Is Doing In A City, Zip Code Or County

Example Prompts

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