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SaaS ARCHITECTURE & FINTECH INTEGRATION

Crawleo: A Production-Grade AI Infrastructure

Real-time web intelligence API

100%
Provider ↔ DB consistency
<1ms
Authorization on hot path
0
Crawl data retained
MCP
Agent integration
01 — Overview

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.
02 — Deep-Dive Modules

How it was built, system by system

01 / 08
Engineered the Model Context Protocol (MCP) server, enabling seamless, bi-directional co…
Core Engine & Business LogicModule 03

Engineered the Model Context Protocol (MCP) server, enabling seamless, bi-directional co…

Engineered the Model Context Protocol (MCP) server, enabling seamless, bi-directional communication between the API and local AI development environments (Claude Desktop, Cursor).

Core Engine & Business Logic4
Commerce, Checkout & Payments2
Auth, Security & Compliance1
Engineering Highlights1

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