Build Shadow FPDS Warehouse via Scraped Non-Compliant Obligations

Intel / Context Summary

GSA operates outdated procurement tracking systems with incomplete modernization (3 legacy systems remaining), creating $2B in unreported obligations across 34 federal agencies and systemic data quality gaps despite managing $759B+ in annual procurement flows.

Catalyst: Why Now

$2B in procurement obligations exist outside GSA's official FPDS due to agency non-compliance, creating a massive intelligence gap for contractors who cannot track actual market opportunities or competitors' awards.

Friction: The Bottleneck

• Vulnerability: $2B in procurement obligations exist outside GSA's official FPDS due to agency non-compliance, creating a massive intelligence gap for contractors who cannot track actual market opportunities or competitors' awards.
• Capital yield: $300k-1M ARR within 18 months from 20-50 contractor subscriptions at $15k-50k each
• Resource capture: Proprietary 'Shadow FPDS' database with 100k+ normalized records including the $2B compliance gap
• Influence capture: Market authority as the only source for complete federal procurement intelligence
• Sovereignty yield: Data moat protected by continuous scraping infrastructure and normalization IP
• Required vectors: Vector: Data Engineering/Scraping, Vector: Federal Contracting Market Knowledge, Vector: SaaS Product Development, Vector: Legal Compliance (FOIA)

Wedge: Execution Protocol

Phase 1: Non-Compliant Obligation Mapping: FOIA request to OMB for the detailed breakdown of the $2B in unreported obligations by agency, contract type, and NAICS code. Simultaneously scrape agency press releases, contract award announcements, and FedBizOpps modifications for obligations not appearing in FPDS. → Phase 2: Data Normalization Pipeline: Build ETL pipeline that cleans, normalizes, and enriches scraped obligations with Dun & Bradstreet DUNS numbers, contractor parent company hierarchies, and historical win-rate analysis. Create matching algorithm to identify duplicate records across sources. → Phase 3: Market Validation & Pricing: Identify top 50 federal contractors by FY2023 obligations (from FPDS public data). Conduct 20 discovery calls with business development VPs at mid-tier contractors ($100M-1B range) to validate pain points around missed opportunities and competitive intelligence gaps. → Phase 4: Launch & Distribution: Build secure web portal with API access, dashboard visualizations, and alert system for new obligations in target NAICS codes. Launch with 10 pilot customers from discovery phase, offering 50% discount for 6-month commitment with data quality SLA.

Routing Vectors

Specific Roles Required

Claim Protocol