Castle Bot Detection

castle.io · checked 13 Nov 2026

#4 · Bot Detection

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How it plugs in

—Public API

NoOpen source

YesFree tier

Signal on Bot Detection6.0#4 of 14

Castle says it protects platforms from automated attacks including account takeovers, fake signups, spam, and transaction fraud.

Pricing

Free$0 /mo · $5 API usage · 3 days data retention · 3 seats · 1 environment · 1 RPS · no overagesFree
Pro$200 /mo · $200 API usage · 5 RPS · 7 days data retention · 5 seats · 2 environments · chat & email support$200/mo
EnterpriseStarts at $4,000/mo; custom pricing · Custom MTU or volume pricing · no rate limits · up to 18 months data retention · unlimited seats & environments · dedicated Slack channel & SLA$4,000/mo

As castle.io lists them, checked 13 Nov 2026.

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Runs on

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Facts

Website: castle.io
Price: Free tier · from $200/mo
Free trial: No
Behavior analysis: Its bot detection combines interaction analysis and behavioral analysis across the user journey.
Customization: Castle says detection rules, risk thresholds, and workflows can be tailored to specific needs.
Detection signals: Detection methods include headless-browser checks, behavioral anomalies, proxy and IP analysis, email analysis, JavaScript checks, and request-replay detection.
Free-plan limits: The Free plan has a fixed API budget and does not support overages; its budget does not roll over.
Integration methods: Bot detection can be implemented through a Filter API at the edge and a Risk API in-app.
Maker: Castle describes itself as developer-grade infrastructure to stop bots, abuse, and fraud.
Risk mitigation: Castle provides a bot score used to guide risk-based responses such as blocking or adaptive UI challenges.
Security and compliance: Castle's pricing page lists SOC 2 Type II and GDPR Ready.
Support: Pro includes chat and email support; Enterprise includes dedicated support, a dedicated Slack channel, and SLA.
Use cases: Castle lists fake accounts, account takeovers, multi-accounting, content abuse, SMS pumping, account sharing, transaction abuse, and API abuse as use cases.

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