Crawleo: A Production-Grade AI Infrastructure
Real-time web intelligence API
The problem worth engineering
Crawleo is a comprehensive SaaS solution built to solve the 'knowledge cutoff' problem for AI models. Beyond the core crawling engine, the true engineering feat lies in its backend architecture.
I designed a system that handles high-concurrency API requests with a strict zero-data retention policy while managing a complex financial lifecycle. The project implements the Model Context Protocol (MCP) to allow direct integration with AI agents like Claude and Cursor.
The backend is a testament to Clean Architecture, featuring a highly scalable, event-driven system that handles subscription states, metered billing, and real-time webhooks with absolute precision.
- Event-driven payment orchestration with Paddle webhooks, race-condition handling, and 100% provider-to-database consistency.
- Redis-backed API-key, rate-limit, and quota middleware for sub-millisecond authorization on the hot path.
- MCP server for bi-directional agent integration (Claude Desktop, Cursor) with zero-data-retention crawl policy.
How it was built, system by system

Interface documentation
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