Find your next federal contract leads before the solicitation.

Contract records come from USAspending.gov, the federal government’s own spending database, through its public API. Vendor registration details come from the public SAM.gov entity data. Both are free and public; we do not scrape anybody, and we hold no information that was not already published by the government.

Findingbase imports prime contract awards whose period of performance ends within the next 18 months, above a minimum award size, and refreshes them weekly.

Five deterministic rules, listed above, applied to fields in the award record. There is no machine learning and no language model anywhere in the scoring. Each contract carries the reasons that produced its number, so you can disagree with it on the evidence.

Scoring some of those rules needs an extra lookup per award, so it runs as a bounded queue, soonest expiry first. Of the 139,639 contracts ending in the next 180 days, 139,639 have been scored so far. The rest appear as “not yet scored”, which is not the same claim as a score of zero, and we will not print a zero we have not earned.

It does not write proposals, submit bids, or tell you whether to pursue one. It does not predict who will win. It cannot promise that a contract which ends will be recompeted at all — agencies extend, consolidate, insource and cancel, and the record does not say which in advance.

It covers prime contract awards. Grants, subcontracts, purchase-card buys and classified work are outside it. It is not legal, accounting or capture advice, and it is not affiliated with any government agency.

The counter at the top is a live count(*) over the expiration table, at most 60 seconds old, not a marketing figure: it moves as the weekly import walks forward through end dates and as contracts pass their expiry. If the number looks small for your industry, it is because the archive is still filling, and the public pages will say so rather than showing you an empty table dressed as a complete one.

Not in the product. The score is arithmetic. A language model is used in one place only — sorting replies to our own outreach email — and never touches customer data or scoring. The AI disclosure says exactly what runs where.

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