Location screen / evidence-backed workflow

Know what a place will cost.

ExpenseIntel resolves the physical address, pulls current state energy pricing, applies building-use benchmarks and adds tract-level hazard-loss context. Every layer stays labeled so a user can see what is authoritative, what is benchmarked and what remains modeled.

Build decision briefLive data

EI / 01

Resolve the place before estimating the cost.

Choose a verified address and ExpenseIntel will assemble a cost stack with source quality, energy benchmarks, hazard-loss context, forward movement and uncertainty.

Preliminary operating expense / year

$0$0.00 / ft² · normalized model

Expense risk score

0/100—

Electricity—loading energy sourceEIA + benchmark

Natural gas—loading energy sourceEIA + benchmark

Water + sewer—preliminary annualModeled

Property tax—preliminary exposureModeled

Insurance—preliminary exposureModeled

Waste + other—remaining operating layerModeled

Current model—

12-month model—

36-month model—

ExpenseIntel / Evidence LedgerLoading evidence

Electricity price signal—U.S. EIA state end-use price

Electricity movement—Current YTD vs. prior-year YTD

Natural gas price signal—U.S. EIA latest state end-use price

Usage benchmark—EIA CBECS or clearly labeled bridge model

FEMA composite riskLoading…National Risk Index · score —

Expected annual building loss—tract-level FEMA NRI building-loss context

Building loss rate—FEMA NRI tract layer

Highest hazard signal—highest NRI hazard score in selected set

AddressVerified—

GeographyResolved—

Building inputsUser supplied—

Cost inputsMixed evidence—

What changed?

The model will explain the data signals applied here.

Why the range?

ExpenseIntel keeps an uncertainty band because authoritative market data and statistical building benchmarks are stronger than generic guesses but still are not the property's exact tariff, tax bill, insurance premium or meter history.

Hazard context

FEMA National Risk Index values are census-tract context, not a property inspection and not an insurance quote. ExpenseIntel uses them to surface potential cost pressure without converting them into a fake premium.

Next data layer

Utility-level tariffs from OpenEI, property tax records, water/sewer schedules, climate normalization, insurance signals and richer building attributes can progressively replace modeled layers.

ADDRESS → EVIDENCE → COSTS → FORECAST → RISK → COMPARE

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