Who it is for
The data is the same for everyone. What changes is the question you bring to it.
You are pricing a letting in three weeks and the last comparable job was 2019. Search the item, see what has actually cleared since, and get a defensible number without opening a single PDF.
Most common: bid preparation, week of letting
Your specialty items are a small slice of somebody else’s bid, which means your quote gets challenged more than it gets accepted. Bring the distribution, not an assertion.
Most common: quote defence
An engineer’s estimate built on last year’s schedule drifts from the market that is actually bidding. Check yours against what cleared, before the bids come in and tell you the hard way.
Most common: engineer’s estimate review
Municipal clients want a cost for a project that does not exist yet. Build it from real awarded prices for the work it resembles, with the spread visible so the contingency is a decision rather than a habit.
Most common: planning-level cost opinions
A bid well under the distribution is not automatically a problem, but it is worth knowing before you write against it. Percentile rank turns a hunch into something you can put in a file.
Most common: pre-bond sanity check
24 years of public award data, normalised and queryable, with the losing bids separated from the awards. Export to CSV and work in whatever you already use.
Most common: construction cost research
Price history is IDOT and ISTHA. If you bid exclusively outside Illinois and want raw local award data rather than a regional adjustment, this is not there yet.
It prices line items. It does not do takeoff, scheduling, or crew production rates, and it will not tell you what to bid — only what similar work has been awarded for, and how confident that figure deserves to be.
