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, inventory trends — instead of twelve open tabs.
Ask for a neighborhood read and get comps, days-on-market, price-per-square-foot, and inventory trends in one sourced document — not twelve open tabs.
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 but 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. It comes back with median price-per-square-foot, current absorption rate, average days-on-market, and the closed comps that actually match — with a link next to every figure 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 much sale prices land above or below ask
- Absorption rate and months of inventory to call buyer's vs. 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, drops the comp table into a Sheet, and can email the finished version to your seller while you're still on the way to the appointment. Set it on a weekly schedule and the same neighborhood read lands in your inbox every Monday.
Related pages in this workflow
These pages cover the adjacent jobs buyers usually compare 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 can see 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?
They reflect whatever the source shows at the moment it runs. Portals lag the live MLS by hours to a day or two on status changes, and the agent notes the date it pulled each figure so you know how fresh the read is.
Can I trust comps it picked on its own?
You set the filters — radius, date window, beds, property type — and it shows you the comps it used with links, so you can drop any that don't fit. It's a starting comp set you refine, not a black-box valuation.
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. You can have it emailed, exported to PDF, or left as a draft for you to edit.
Will it give me an automated home valuation?
No, and it won't pretend to. It assembles the comps and market context that go into a CMA; the price opinion is yours. That keeps you compliant and keeps the seller arguing with the data, not the algorithm.
How much does it cost?
$49/month or $490/year — cancel anytime. Setup runs about four minutes — you 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 — pointed at the sources and questions your field cares about.
- AI Research Analyst (hub) — Hand it a question and a deadline, get a brief that shows its work — figures, links, and the page each number came from.
- AI Academic Research Analyst — It reads the papers, not just the abstracts — a synthesized brief with inline citations, source links, and the contradictions flagged.
- AI Brand Monitoring Analyst — Reads the whole thread, not the headline: it checks the sites you watch each morning and briefs you on what actually changed overnight.
- AI Competitive Intelligence Analyst — The whole market, read for you: it watches competitor pricing, changelogs, and job boards and drops a cited brief the moment something moves.
- AI Data Analyst Agent — A data team without the headcount: point it at a CSV or Sheet and ask in plain language — it cleans, charts, and answers, with full undo.
- AI Due Diligence Analyst — Hand it a company name, get a brief you can trust: founders, funding, and litigation flags, each with a citation behind it.
- AI Equity Research Analyst — Hand it a ticker, get a cited brief — built from the 10-K, the latest call, and live multiples, every claim linked to its source.
- AI Grant Research Analyst — 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, 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 a single session: it runs the research, organizes 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 — competitors watched, trends tracked, a source behind every line.
- AI Market Sizing Analyst — TAM/SAM/SOM that shows its work — top-down and bottom-up, every figure traced back to the source it came from.
- AI News Briefing Agent — One briefing every morning, built around your world: your industry, your tickers, your topics — scanned, summarized, and waiting in your inbox.
- AI Policy Research Analyst — It reads the actual bill, not the press release — a sourced brief with section citations, agency dates, and the dissenting view.
- AI Procurement Research Analyst — A sourcing request, 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.