Retail electricity price
State and end-use sector price, prior-year change and eventually exact utility tariff structure.
ExpenseIntel deliberately avoids becoming another generic property-data portal. A data layer earns its place only when it helps estimate, explain, compare or forecast a meaningful expense.
The ExpenseIntel model is intentionally mixed-source. Some inputs are directly verified, some are authoritative market averages, some are statistical building benchmarks, and some remain explicit model assumptions. The interface should never blur those categories together.
Canonical address, coordinates, city, state, ZIP, county and tract.
State energy prices today; utility-level tariff data next.
Building-use intensity, size and eventually richer property attributes.
Range, confidence, source freshness, drivers and forward movement.
ExpenseIntel can ingest many sources without becoming a generic site-intelligence product. The filter stays financial: if a signal cannot move an expense, confidence interval or comparison, it does not belong.
State and end-use sector price, prior-year change and eventually exact utility tariff structure.
State end-use price combined with building-use gas intensity rather than a generic percentage of total cost.
kWh and gas use per square foot by property use, with CBECS-backed commercial categories and labeled bridges where data is weaker.
Actual assessment and tax bill should replace broad modeled exposure wherever parcel-level records are available.
Base fees, consumption tiers, sewer multipliers and known rate increases normalized into one annual view.
Flood, catastrophe, construction and use signals should explain exposure without pretending to be an insurance quote.
The product becomes more trustworthy when it distinguishes directly observed information, strong estimates and lower-confidence scenario assumptions instead of hiding all three behind one polished number.
Verified address, EIA published price series, future tariff schedules, tax records and user-supplied actual bills.
Statistical consumption intensity, normalized usage and forecasts built from high-quality upstream signals.
Costs that still depend on missing building details, fragmented local schedules or uncertain future conditions.
ExpenseIntel should not claim to map buried utilities or replace an engineering locate. The useful version is narrower: identify service or connection conditions only when they affect operating, upgrade or development cost.
Gas, municipal water, sewer or other service availability can materially change the economics of a site.
Potential service upgrades, capacity constraints or extension requirements belong when they create a measurable cost.
ExpenseIntel should not guess the exact depth or position of underground infrastructure and should never substitute for authorized locating.
Does this data help estimate, explain, compare or forecast an expense?If not, it does not belong in ExpenseIntel.