How to use CMAScope
Everything here works the same way: pick a place, pick a number, pick how to look at it. This page explains each tool in plain English.
Explore — build any chart or map
Explore is the widget builder. The fastest path: click a preset chip at the top (price map, density map, income map, hottest metros…) and it fills in everything. Then tweak:
- Dataset — which family of numbers: Listings & prices (what's for sale and for how much), Market hotness (demand vs supply ranks), Home values by bedrooms & type (typical values for 1–5 bedroom homes, houses vs condos, plus rents), People & income (Census: population, density, income, vacancy), and the Weekly pulse.
- Geography — national, state, metro, county, or ZIP. Search by name or code.
- Metrics — the number being shown. Each chart type caps how many fit: a map shows one (plus a bubble layer), a line chart up to six.
- Transform — raw values, % change vs last month or last year, smoothed averages, or indexed to 100 so different-sized things compare fairly.
- Chart type — line/bar/area for trends over time; map, ranked bars and table for comparing places; scorecard for a KPI wall.
- Color theme — Blues by default; Greens suit money maps; Heat colors low values blue and high values red so extremes jump out.
Maps can show two things at once: the fill color is your first metric and the optional bubble layer is a second one — bubbles get bigger and hotter-colored as the value rises. The FEMA flood-hazard layer toggles on the map itself. The legend under the map shows what the colors span.
Save any widget to pin it to your dashboard, share it, embed it, or drop it into a report.
Compare — markets side by side
Compare lines up to four markets next to each other: the same KPIs for each, every trend overlaid on shared charts, home values, and a Census table (population, income, growth, vacancy). Use it to answer "which of these places is actually stronger?"
Deal analyzer — will this rental make money?
The deal analyzer underwrites a rental purchase from your inputs. The outputs, in plain terms:
- NOI — rent money left after operating costs (taxes, insurance, upkeep), before the mortgage.
- Cap rate — NOI as a % of the price; what the property earns ignoring financing.
- Cash flow — what's left each year after the mortgage too. Negative = you feed it monthly.
- Cash-on-cash — yearly cash flow ÷ the cash you actually put in.
- DSCR — NOI ÷ mortgage payments; lenders want ≥ 1.2ish. Below 1 means rent doesn't cover the loan.
- IRR — your all-in yearly return over the hold, counting cash flows and the sale.
The pro forma table shows the year-by-year path; export it as CSV on paid plans.
Value estimator — what's typical here?
The estimator gives the market-typical value for a segment (say, 3-bedroom homes in a ZIP) with a range and a $/sqft cross-check. It's a market statistic — a starting point for homeowners and agents, not an appraisal of your specific house.
Watch, get alerts, take notes
Hit Watch on any market page and it joins your dashboard; when fresh monthly data lands, you get one email digest covering your watched markets. Every saved widget also has Notes & comments for capturing your read, and ⤓ PNG/CSV export buttons.
Reports — write it up, export a PDF
Reports lets you compose a document from text blocks and live widgets, stamp your own logo/company/color on it, and export via Print → Save as PDF. Built for handing to a client.
Market pages — the full profile
Every place has a profile page: KPI wall, hotness, rent & yield, trends, home values by bedroom, Census context, and top-priced peers. The AI market read button (top plans) writes a three-paragraph analysis from those exact numbers.
Where the numbers come from
Realtor.com Economic Research (listings), Zillow Research (values & rents), the U.S. Census Bureau (people & income) and FEMA (flood zones) — full detail on data sources and methodology. Developers: the API.