Transportation Vertical

Ground transportation, black car services, private drivers, car rentals, helicopter transfers.

LOE: ~76-100 hours (highest complexity vertical)

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Epic: Transportation Data Acquisition

Plan: Build integrations for Uber, Lyft, Blacklane, and car rental APIs to acquire transportation options with real-time pricing and availability.

Architectural Context: Transportation is the highest complexity vertical due to OAuth requirements and real-time pricing. Each provider has different auth flows, pricing models, and coverage areas. Crawlers run in parallel with OAuth handling per source. Results include vehicle types, base prices, estimated totals, and coverage areas.

Tasks

• Build Uber crawler/API integration
• Build Lyft crawler/API integration
• Build Blacklane crawler/API integration
• Build car rental API integrations
• Handle OAuth requirements for some sources

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Epic: Transportation Schema and Storage

Plan: Design the transportation data model, implement SQLite storage with FTS5 search, and build MCP tools for agent consumption.

Architectural Context: The data model captures vehicle type, service level, pricing (base + estimated total), coverage area, and provider. SQLite provides embedded storage with FTS5 for full-text search. MCP tools expose transportation data to Research Agents for location-based queries.

Tasks

• Design transportation data model (vehicle type, service level, pricing, coverage area)
• Implement SQLite tables and FTS5 search
• Build transportation-specific MCP tools