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Bot Detection Patterns for API Devs

Stop bots before they stop you.

30+ page guide on bot detection: fingerprinting, behavioral scoring, Bloom filters, CAPTCHA integration, and rate limiting patterns from production anti-bot systems.

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Inside the guide

What You'll Learn

01

Fingerprinting

Browser, device, and behavioral fingerprinting techniques.

02

Scoring Engine

Multi-factor risk scoring: 100+ signals combined into a single trust score.

03

Bloom Filters

Memory-efficient password/credential checking at scale.

04

Rate Limiting

Sliding window, token bucket, and adaptive rate limiting.

Table of Contents

01FingerprintingBrowser, device, and...
02Scoring EngineMulti-factor risk scoring:...
03Bloom FiltersMemory-efficient password/credential checking...
04Rate LimitingSliding window, token...

Who This Is For

Written by engineers, for engineers

Senior Engineer

Building production systems and tired of re-inventing the wheel on every project.

Software Architect

Needs battle-tested patterns to back architectural decisions with evidence.

Startup CTO

Must ship fast without accumulating technical debt that kills you later.

See Inside

A sample from the guide

The Problem

Bots cost businesses billions annually

Most rate limiting is trivially bypassed

Production anti-bot patterns are trade secrets

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  • 30+ page PDF
  • Code examples (Python)
  • Architecture diagrams
  • Lifetime updates
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