Refresh a quote against published cost movement

A quote you wrote months ago is being renewed, and you need to show what moved rather than just raising the number.

Who this is for

Written for Contractors, professional-services firms. You bring the commercial question; the published record behind it comes back with the answer, and you can see where each figure came from.

What to bring

Have these to hand before you paste the prompt. Anything you leave out should be asked for rather than guessed at.

Your current rate or price and the date it was set
The cost assumptions inside it, such as labour hours and materials
Whether fuel or energy is a material part of the work

Try this prompt

Paste this where you connected HARBOR Port and replace the bracketed parts. It asks for sources and periods on purpose: that is what makes the answer checkable.

Our quote uses [rate], effective [date], and these assumptions: [list]. Using the published wage and inflation changes, show me three transparent update scenarios: hold the rate, track inflation, and track wages. Keep my supplied numbers separate from the public benchmarks, show the arithmetic, and leave the margin decision to me.

Then ask a narrower question. These are the ones people ask next.

Which single input moved the most, and what does that do to the total.

Show the same three scenarios if the next twelve months repeat the last twelve.

What the answer looks like

The shape below is the point of the workflow. If a response arrives without the periods and the source behind each number, ask for them before you use it.

Three scenarios, each with its arithmetic shown
Your supplied figures marked as yours and the benchmarks marked as public
The index series used, with its period
The decision left explicitly with you

Limits to keep in view

State and sector energy prices are averages. They are not a utility bill, a fuel contract, or a quote.

Census, BEA and BLS series are published on different calendars and for different periods. Every figure carries the period and geography that were actually returned, not the one that was asked for.

Wage data is published for labour-market areas, which do not line up with counties or with a service area. When the geography does not match, the number is omitted rather than stretched.

Not answered by this data:

Your revenue, customers, bookings, pipeline or churn
Inventory, capacity, staffing rosters or payroll
Your actual utility bills, fuel spend or supplier quotes
Business credit, insurance premiums, or lending decisions
Permit, licence or certification status
A local forecast, a hazard estimate, or a legal opinion

Where the numbers come from

The answer is built from the published sources below. Each one keeps its own geography, period and definitions, and the answer states which was used.

BLS Consumer Price Index
BLS occupational wages
EIA retail fuel prices

The exact names, and where to read the detail

bls

bls_cpi_lookup
bls_wages_by_occupation_geo
bls_series_data_batch

eia

eia_gasoline_retail_price

Scoped to what your plan reaches, and to the sources each workflow names. Reviewing the catalogue first is the cheap way to decide whether this covers your question: source catalogue.