BidSparq Research · updated August 17, 2026
The Wired Contract Report
Every contractor suspects it: some government bids are written for a vendor who's already been chosen. We analyzed the language of 53,170 open U.S. government solicitations to measure how often the text itself gives it away.
The four signals we measured
Share of open solicitations whose text contains each signal. The headline figure counts the three “strong” signals and excludes thin scope of work.
- 7,634 RFPsBrand-name lock (no “or equal”)14.4%
- 2,587 RFPsIntent-to-award / sole-source language4.9%
- 2,964 RFPsCompetitor-specific language5.6%
- 4,444 RFPsThin / vague scope of work8.4%
The most-wired categories
Share of open solicitations with a strong wired signal, by procurement category.
- 6,327 RFPsEquipment48.9%
- 1,159 RFPsSoftware44.6%
- 3,947 RFPsCommodities38.2%
- 1,014 RFPsIT Services34.2%
- 5,186 RFPsMaintenance23.4%
- 338 RFPsSecurity12.7%
- 949 RFPsEducation Services10.3%
- 6,498 RFPsProfessional Services7.9%
- 271 RFPsStaffing7.7%
- 1,322 RFPsHealthcare Services7.6%
- 624 RFPsFood Services6.4%
- 622 RFPsTransportation4.7%
The most-wired states
Share with a strong wired signal, by place of solicitation (min. 150 RFPs).
- 3,456 RFPsVA44.5%
- 1,587 RFPsOH40.8%
- 378 RFPsNM31.2%
- 532 RFPsOK23.7%
- 905 RFPsDC23.2%
- 1,715 RFPsMD22.9%
- 1,622 RFPsWA21.7%
- 2,314 RFPsPA21.0%
- 169 RFPsWV18.3%
- 768 RFPsSC17.1%
- 413 RFPsAZ16.7%
- 1,325 RFPsIL15.6%
Read this before you cite us
These are signals, not proof. A brand-name specification is sometimes entirely legitimate: an agency may genuinely need an OEM part for compatibility, which is exactly why equipment shows the highest rate. What the signals tell you is where competition may be limited and a bid is worth a closer look before you spend 80 hours on a proposal. They are a starting point for scrutiny, not an accusation.
Spot a wired contract before you bid
BidSparq scores every active RFP for these signals automatically: so you don't waste a week writing a proposal for a contract that's already been decided. Want to learn the tells yourself? Read our field guide.
Methodology
BidSparq analyzed the language of 53,170 currently-open U.S. government solicitations (federal, state, and local) using an AI classifier that flags four signals associated with pre-favored, incumbent-friendly procurements: brand-name specifications without an “or equal” clause, intent-to-award / sole-source language, language tailored to a specific competitor, and an unusually thin scope of work. The headline figure counts the three “strong” signals and excludes thin scope (vague ≠ wired). IMPORTANT: these are signals, not proof of wrongdoing — a brand-name spec is sometimes legitimate (e.g. OEM compatibility in equipment), which is exactly why equipment shows the highest rate. The signals surface where competition may be limited and warrant a closer look. Analysis covers the AI-enriched subset of open solicitations in BidSparq; the dataset refreshes as new solicitations are ingested and re-analyzed.
Data as of August 17, 2026. © BidSparq. Cite as “BidSparq Wired Contract Report.”
Key stats from this report
Each answered on its own page with the current figure, source, and sample size.
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