G.E.N.E.S.I.S. / Directives / DIR-A9-JC3-0YIH
DIR-A9-JC3-0YIH
Scrape SCRP Recipient Directory via FCC Public Disbursement Database
Organization
FCC Wireline Competition Bureau
Sector
Compliance consultants, law firms, and software vendors targeting SCRP recipients
Location
Location unspecified
Budget
Sell dataset for $499-$999 to compliance consultants; 10 sales = $5k-$10k
Required AuthorityAUTHORITYThe internal metric of trust, execution capacity, and network gravity within GENESIS. Higher Authority grants access to increasingly sensitive, high-yield Directives. Authority is distinct from, and independent of, any federal, state, or corporate security clearance.
I: Initiate
Posted
Apr 09, 2026
Intel / Context Summary
The FCC proposes mandatory fraud disclosure requirements for SCRP recipients under 2 CFR 200.113, creating a $1.3 billion compliance gap where telecom carriers must implement new fraud detection and reporting systems by May 2026.
Catalyst: Why Now
The FCC has approved ~$1.3B in SCRP disbursements but doesn't publish a clean, machine-readable directory of recipients with contact information. This data exists across multiple FCC public databases but requires extraction and consolidation.
Friction: The Bottleneck
- Vulnerability: The FCC has approved ~$1.3B in SCRP disbursements but doesn't publish a clean, machine-readable directory of recipients with contact information. This data exists across multiple FCC public databases but requires extraction and consolidation.
- Capital yield: Sell dataset for $499-$999 to compliance consultants; 10 sales = $5k-$10k
- Resource capture: Proprietary SCRP recipient database (first-mover advantage)
- Required vectors: Vector: Web Scraping & Data Extraction
Wedge: Execution Protocol
Phase 1: Locate and Map Data Sources: Search FCC.gov for SCRP disbursement databases. Primary targets: (1) FCC Universal Service Administrative Company (USAC) funding data portal, (2) FCC Wireline Competition Bureau press releases announcing SCRP approvals, (3) FOIA reading room for SCRP-related documents. Document exact URLs and data formats (CSV, PDF, HTML tables). → Phase 2: Extract and Consolidate Data: Write Python scripts using requests and BeautifulSoup to scrape HTML tables. For PDFs, use pdfplumber or tabula-py. Extract: company name, address, disbursement amount, approval date. Clean and deduplicate records. Export to CSV with standardized columns.
Routing Vectors
Specific Roles Required
Vector: Web Scraping & Data Extraction
Primary executor: Phase 1: Locate and Map Data Sources: Search FCC.gov for SCRP disbursement databases. Primary targets: (1) FCC Universal
Claim Protocol
Sign in to begin the claim protocol.
Sign In