Analyze Your Deal Today

Different method, not a magic number. We research each address live and cite every source, instead of serving a dataset scraped in advance (theirs count blocked dates as booked and include dead listings). Deep reports are then cross checked against independent trailing 12 month earnings for nearby listings, and when our researched read runs more than 10% above those actuals we cap the numbers that grade the deal and print exactly what we did. And verdicts are calibrated against short term rentals we operate ourselves.

Live, for each address: active listings (Airbnb, VRBO, Booking, Expedia, Trip.com), city and county short term rental ordinances, permit filings, HOA rules, court records (evictions, code violations), tax and assessor data, and rent benchmarks like Zillow. Deep reports add a second, machine sourced comp set: trailing 12 month earnings actuals for nearby listings from an independent data vendor, shown side by side with the comps we researched. Every check on your report links its sources.

A standard run is 13 scored checks across legality, demand, competition, building and landlord, and risk. Deep STRfax goes further: it shops real live comps and tells you how many backed each median (a median of six verified comps says six, not ten), builds a regulatory carfax (ordinance, citation, license, occupancy cap) and a landlord carfax, cross checks the medians against independent trailing 12 month actuals, and runs a profitability model in locked code. It even prints the sensitivity: what ten dollars of nightly rate does to your monthly net, so you can see how hard the market read leans on the bottom line.

No. Same address, same numbers. We keep your deal's market shop and serve the same comps every time you recheck it, whether you run it on the site or ask Claude. Editing a cost reprices your deal instantly from those same comps; it never reshops the market. When you deliberately want a fresh read, tap Refresh market comps and the report says exactly which shop it used.

One definition everywhere: the base nightly room rate a guest pays, before cleaning fees and taxes. Airbnb displays an all in price with cleaning baked in while VRBO and Booking show a base rate, so we normalize every comp to the same definition in code before taking a median, and cleaning is counted exactly once in the money model. Comps that can't be verified to that definition are left out and counted, and dormant listings never feed a median.

One way brakes, several of them. Risk checks can lower a grade, never raise it. Dormant and dead listings are excluded from medians and labeled on the report. Weak demand caps the tier no matter how good the pro forma looks. And on deep reports, when our researched rate or occupancy runs more than 10% above the independent trailing 12 month actuals for nearby listings, we cap the inputs that grade the deal and print the cap right on the report. A low read is never raised to match.

STR legality/ordinance, HOA or building STR ban, existing Airbnb in the building, competition density (¼ mile), hotel pricing ceiling (1 mile), demand drivers, rent benchmark, landlord history, code violations & insurance, noise & nuisance, construction pipeline, safety, and pest/infestation, plus gentrification & schools on a deep run.

No. It's decision support: live research plus underwriting math. We give three scenarios (conservative, realistic, stretch), not one falsely precise number, and we show our sources so you can verify. Every dollar between booking revenue and your monthly net is itemized on the report, in plain English, so nothing hides in a blended line. You make the call.

We mark it NO DATA instead of guessing. We'd rather show a gap than fake confidence. And an area with thin data or weak demand is itself a signal that caps the verdict, no matter how good the pro forma looks.

Think of the tier as a report card grade (S is the best, D is the worst) and the verdict as what to do about it: ACQUIRE means worth buying, PILOT means test it carefully, PASS means skip. The tier is a cash flow band, not a return: the monthly net after every cost decides it, so a thousand dollars a month earns the same grade whether you put in thirty thousand or one hundred fifty thousand, and the return on your cash is shown separately. The 13 checks can pull a grade down but never up, and hard realities cap it: if short term rental is illegal there, it's never an ACQUIRE regardless of the numbers.

Exactly why we research live at the moment you ask instead of shipping a dataset. Ordinances change, listings die, new comps appear. An agent also sweeps active markets twice a week for regulation changes and flags anything that would move a legality verdict.

A verdict in minutes. Pricing is a simple hybrid, shown openly: your first 10 deals are free (no card, no time limit), then it’s $5 per search (1 credit = 1 Standard verdict, a Deep STRfax = 5 credits), or a monthly plan from $39 that bundles credits plus the full toolkit (all strategies, watchlists, decks; Deal Radar market watching on Pro plans, each find uses 1 credit). Annual is 2 months free, purchased credit packs never expire, and you can cancel anytime. No market gating, no “contact sales.”

Four things they can't match: we research live and cite sources, we check legality plus landlord plus sublet (the deal killers a dashboard hides), we cross check deep reports against independent trailing 12 month actuals and cap our own numbers when they run hot, and we calibrate against units we actually operate. And we show the work (the checks running, the comps we read, how many backed each median) instead of a black box.

US and Canada are strongest; we also support Mexico and parts of Europe. Because the research is live per address, we're not limited to markets baked into a prebuilt dataset.

Yes. Connect ATD to Claude and ask it to analyze an address: it runs the same engine with the same credits and returns the same numbers the site shows, to the dollar. Rechecking a deal from Claude serves the same market shop as the site, so the two can never disagree.

Yes. ATD installs straight from the browser on desktop and phone: one tap in Chrome or Edge, and on iPhone open Share then Add to Home Screen. It opens in its own window like a native app, and your account and credits carry over because it is the same account.

Landlord carfax: we identify the owning entity (with an OpenCorporates link), pull eviction filings and code violations from the last 24 months, surface litigation red flags, and assess the management company's reputation, so you know who you'd be dealing with before you sign.

Yes. Drop a PDF, image, or deck and we prefill each unit; run them and every unit comes back as its own row with its own verdict. Batches reuse research where it already exists, so rerunning a list you checked this week costs less, not more.