Honest comparison

How we differ from HigherGov,
GovWin & Bloomberg Government.

We're not trying to out-feature a full capture suite. We sell the one thing they bury inside a seat license and price out of reach for small teams: the fresh delta + recompete-vulnerability signal, agent-callable, at a fraction of the cost.

✔ Last verified against USAspending.gov: Jun 21, 2026

The honest table

DimensionGovWin / Bloomberg GovHigherGovGovCon Intelligence (us)
Annual price$12k–$42k/yr, enterprise sales~$500–$2k/yr$0 to browse · $300–$1,800/mo · resell $2k–$8k/mo
Recompete radar (expiring + named incumbent)Yes, inside seat suiteYesYes — free to browse per NAICS/agency, with predicted incumbent-vulnerability
Award delta feed (cursor: only what changed)Limited / report-styleSaved-search alertsYes — whats_changed_since(cursor) primitive
Agent-callable (MCP)NoNoYes — native MCP, four tools
Webhook push on a competitorEmail alertsEmail alertsYes — real webhooks per watchlist
Self-serve, no sales callNoMostlyYes — pay by invoice or crypto, key issued in 1 business day
Resell / embed in your productNoNoYes — resell tier with high quota
Sources beyond contracts (proposal pipeline, GWAC task orders, FOIA, people)Yes — deepYesNo — we are contracts/IDV award data only
Deep historical archive (years)YesYesForward-compounding — our change-history starts the day you do

Where they win, we say so. If you need a full capture lifecycle (pipeline, proposal mgmt, teaming, BD CRM), buy GovWin/HigherGov. If you need a fresh, queryable, agent-callable recompete + award-delta signal without a five-figure seat license, that's us.

Accuracy & freshness — stated plainly

Source

100% public USAspending.gov award data (the authoritative federal spend record). Every row links back to its source award page. We add nothing we can't cite.

Freshness

Daily snapshot + diff. Expiring/recompete data reflects the period-of-performance end-date on file. Verified date shown on every page.

Change-history depth

Forward-only today. We started snapshotting recently, so the diff history is shallow now and deepens daily. We never claim a deep archive — that's GovWin's game, not ours.

Recompete prediction

Incumbent-vulnerability is a transparent base-rate model (incumbents win ~62% of recompetes; we adjust for competition type, set-aside, recent challenger velocity). It's a triage signal, not a guarantee. Full methodology on the prediction engine.

We will not overstate. Award data is real and current. Modification history accrues forward. Predictions are probabilistic and shown with their basis, sample size, and confidence — never as certainty.

The rest of the GovCon Intelligence stack

Recompete winner prediction

Per-contract predicted winner + challenger field, with base rates and confidence. recompete.dropwatchhq.com →

Rising contractors / M&A signals

Which contractors are surging or look like acquisition targets, from award-velocity patterns. ma.dropwatchhq.com →

Entity & exclusion screening

Resolve a contractor across federal IDs and screen against exclusion/debarment lists before you team. screen.dropwatchhq.com →

This feed — award deltas + recompete radar

The fresh-signal core. Browse free →