GovCon Infrastructure
The federal contract intelligence layer GovCon runs on
Most platforms are a portal you log into. PrimeRFP SCOUT is built as the signal layer other workflows consume — MCP-native so AI clients query it directly, 35,000+ public company profiles, and a full federal + SLED intelligence layer synthesized from tens of thousands of sources, with the numbers still traceable to the public record. Infrastructure, not another closed tool.
Why SCOUT is infrastructure
MCP-native data plane
Built on the Model Context Protocol from the ground up. AI clients like Claude and ChatGPT consume SCOUT's intelligence and recompete signals directly — SCOUT is the data plane, the AI client is the interaction surface.
35,000+ company profiles
A public, structured footprint of the federal market: award history, agency concentration, recompete outlook, trajectory, and teaming relationships across tens of thousands of contractors.
Context, not just records
The public sources — USASpending, FPDS, SAM.gov, and SLED — are the core contract data. SCOUT's intelligence is the broader market context we layer on top and how we apply it. Where SCOUT reports award figures, they still reconstruct from the public record.
Tool vs. infrastructure
The distinction shows up in how the intelligence reaches your team.
| Dimension | Closed portal / tool | SCOUT (infrastructure) |
|---|---|---|
| Access | Log into one more web app | Queried inside the AI clients you already use |
| What you get back | Raw records to interpret | Decision-ready analysis |
| Where it lives | Trapped in its own UI | A signal layer other workflows consume |
| Traceability | Opaque or proprietary scoring | Award figures reconstruct from public records |
| Sources | One or two feeds | Federal + tens of thousands of SLED sources, synthesized |
Explore the layer
Intel Hub
Agency, industry, set-aside, and vehicle market intelligence.
OpenCompany profiles
35,000+ federal contractor profiles with recompete outlook.
OpenSCOUT MCP
The MCP server that exposes SCOUT to Claude, ChatGPT, and more.
OpenBuild on SCOUT
Put SCOUT's federal signals inside your own product or workflow.
OpenRecompete Radar
24-month recompete walls by agency and industry.
OpenHow SCOUT compares
Honest comparisons against the platforms teams evaluate.
OpenFrequently asked questions
- What does it mean that SCOUT is GovCon data infrastructure?
- PrimeRFP SCOUT is built to be the federal and SLED market intelligence layer that other workflows and products run on, rather than a single closed portal. It is MCP-native, so AI clients like Claude and ChatGPT consume SCOUT's signals directly as a data plane; it publishes 35,000+ structured company profiles; and it treats the public record — USASpending, FPDS, SAM.gov, and tens of thousands of SLED sources — as core contract data, then layers on the broader market context that makes it intelligence. Award and obligation figures still reconstruct from the public record — but what SCOUT delivers is decision-ready intelligence, not just a data feed.
- How is that different from HigherGov, GovWin, or GovTribe?
- Those platforms are primarily closed portals or CRMs: you log in and consume their UI. SCOUT is MCP-native — the AI model queries SCOUT's intelligence and recompete signals inside the protocol, returning decision-ready analysis instead of raw records. Because it is a signal layer, SCOUT can sit underneath other AI clients and workflows rather than requiring users to live in one more tab.
- What signals does SCOUT expose?
- Federal and SLED opportunity discovery, award history and obligations, recompete pipeline and 24-month 'walls', agency and industry market intelligence, teaming relationships, and company-level profiles across 35,000+ contractors — all queryable in plain language through the SCOUT MCP server.
- Is SCOUT's data traceable?
- Traceability is the floor, not the whole story. The public record — USASpending, FPDS, SAM.gov, and tens of thousands of state, local, and education (SLED) sources — is the core contract data. SCOUT's intelligence is the broader market context we've gathered on top, and how we apply it, to turn those records into decision-ready signals. Where SCOUT reports federal award and obligation figures, those reconstruct from the public record under a consistent methodology (≥$100K action floor, obligations-only basis, explicit windows) — but the intelligence itself is what sets SCOUT apart, not the underlying feed.
Build on the federal intelligence layer
Query SCOUT inside your AI, or put its signals in your own product.
Talk to Our Team
See how SCOUT's intelligence and preparation tools fit your pipeline.