An AI analyst that turns scattered listing data into a cited market brief
A neighborhood read in one sourced doc: comps, days-on-market, price per square foot and inventory trends, in place of twelve open tabs.
Ask for a neighborhood read and you get comps, days-on-market, price-per-square-foot and inventory trends in one sourced document.
The CMA nobody wants to build by hand
Pricing a listing means cross-checking the MLS, Zillow, Redfin and the county assessor, then arguing with a seller who saw one inflated number on their street. The numbers are real. They're also spread across sites that each show a slightly different cut, and pulling them into one defensible story eats an afternoon you'd rather spend in front of buyers.
The agent does the pulling. Point it at a ZIP, a subdivision or a single address and it browses the public listing sites, reads the active and sold inventory, and calls assessor or census APIs where they exist. You get back median price-per-square-foot, current absorption rate, average days-on-market and the closed comps that actually match. Every figure has a link next to it, so you can defend it in the listing appointment.
What it tracks for a given market:
- Active, pending and sold counts with the month-over-month direction
- Median and average price-per-square-foot, split by beds or property type
- Days-on-market and how far sale prices land above or below ask
- Absorption rate and months of inventory, to call a buyer's or seller's market
- Closed comps within your radius and date window, with source links
It writes the brief into a Google Doc or a Note and drops the comp table into a Sheet. It can even email the finished version to your seller while you're still driving to the appointment.
Put it on a weekly schedule and the same neighborhood read lands in your inbox every Monday.
Related pages in this workflow
Buyers usually compare these adjacent jobs before choosing an AI agent.
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Frequently asked questions
Does it connect to my MLS?
Not directly. There's no standard MLS feed, and most boards forbid scraping. The agent works from public listing sites, the county assessor and census data, which is exactly what a seller sees when they argue your number. If your MLS or a comp data provider has a REST API and you have a key, the agent can call it with your auth.
How current are the numbers?
As current as the source at the moment it runs. Portals lag the live MLS by hours to a day or two on status changes, so the agent notes the date it pulled each figure and you know how fresh the read is.
Can I trust comps it picked on its own?
Yes, because you set the filters (radius, date window, beds, property type) and it shows you every comp it used with links. Drop any that don't fit. You get a starting comp set to refine, with nothing hidden in a black box.
What does the output actually look like?
A written brief (Google Doc or Note) with the headline trends and a sourced figure for each, plus a comp table in a Google Sheet. Have it emailed, export it to PDF or keep it as a draft to edit.
Will it give me an automated home valuation?
No. It assembles the comps and market context that go into a CMA, and the price opinion is yours. That keeps you compliant and keeps the seller arguing with the data.
How much does it cost?
Start with a 7-day free trial. Full access, no card needed. Then $49 per month. Setup runs about four minutes: connect a Google account for Sheets and email, then tell the agent what market to watch. It's in public beta.
AI research analysts by field
One research agent that searches, reads and cites. Point it at the sources and questions your field cares about.
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- AI Due Diligence Analyst: Hand it a company name and get a brief you can trust. Founders, funding and litigation flags each come with a citation behind them.
- AI Equity Research Analyst: Hand it a ticker and get a cited brief built from the 10-K, the latest call and live multiples. Every claim links to its source.
- AI Grant Research Analyst: It finds the grants you actually qualify for. It reads the RFP, checks your eligibility and hands you a sourced one-pager with the ask and deadline.
- AI Healthcare Research Analyst: Ask a clinical question and get an answer you can defend: a structured brief where every claim links to the paper, trial or guideline.
- AI Junior Consultant: Brief to deliverable in one session. It runs the research, sorts the findings, and builds the deck and the client-ready PDF.
- AI Legal Research Analyst: A memo where every claim has a link you can check: it searches the open web and reads the actual opinions and filings.
- AI Market Research Agent: A cited competitive briefing in your inbox on the cadence you set. It watches competitors, tracks trends, and puts a source behind every line.
- AI Market Sizing Analyst: TAM/SAM/SOM that shows its work. You get top-down and bottom-up, with every figure traced back to the source it came from.
- AI News Briefing Agent: One briefing every morning, built around your industry, your tickers and your topics. Scanned, summarized and waiting in your inbox.
- AI Policy Research Analyst: It reads the actual bill and hands back a sourced brief with section citations, agency dates and the dissenting view.
- AI Procurement Research Analyst: A sourcing request comes back as a cited supplier brief: shortlisted vendors, pricing signals and lead times, with a source behind each.
- AI Research Agent: Hours of digging, back in minutes. It reads the full sources and hands you a structured report with every claim cited.