G.E.N.E.S.I.S. / Directives / DIR-A9-MKL-RIZT
DIR-A9-MKL-RIZT
Extract Missouri Smoke Shop RCRA Violation Registry via EPA ECHO Scraping
Organization
EPA ECHO Database (Enforcement and Compliance History Online)
Sector
Compliance service providers, insurance underwriters, waste disposal contractors
Location
Missouri, USA
Budget
Dataset could be sold for $500-$2,000 to compliance service providers or insurance companies
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
1 STOP SMOKE SHOP has four consecutive quarters of RCRA violations with an active June 2025 Notice of Violation, indicating chronic compliance system failure that the owner cannot resolve alone despite regulatory pressure.
Catalyst: Why Now
The EPA ECHO database contains granular violation data for thousands of facilities, but no one has systematically extracted and packaged the subset of Missouri smoke shops with RCRA violations for commercial use. This raw data is publicly available but requires technical extraction.
Friction: The Bottleneck
- Vulnerability: The EPA ECHO database contains granular violation data for thousands of facilities, but no one has systematically extracted and packaged the subset of Missouri smoke shops with RCRA violations for commercial use. This raw data is publicly available but requires technical extraction.
- Capital yield: Dataset could be sold for $500-$2,000 to compliance service providers or insurance companies
- Resource capture: Proprietary dataset of 50-100 Missouri smoke shops with RCRA violation history
- Sovereignty yield: First-mover ownership of this specific compliance risk intelligence dataset
- Required vectors: Vector: Data Scraping & API Integration
Wedge: Execution Protocol
Phase 1: Locate and Map Data Source: Study EPA ECHO API documentation and identify the exact query parameters needed to filter for: 1) Missouri facilities (state code 'MO'), 2) RCRA program violations, 3) NAICS codes for tobacco stores (453991) and smoke shops, 4) VSQG status. Test queries manually via web interface first. → Phase 2: Automated Data Extraction and Export: Write Python script using requests library to query EPA ECHO API with identified parameters. Extract: facility name, address, RCRA ID, violation dates, violation types (262.A), inspection dates, enforcement action history. Export clean CSV with standardized columns.
Routing Vectors
Specific Roles Required
Vector: Data Scraping & API Integration
Primary executor: Phase 1: Locate and Map Data Source: Study EPA ECHO API documentation and identify the exact query parameters needed to
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