Active development: StyloBot is free and open source. This site runs the live product to test against real traffic (zero PII stored — see docs). Expect occasional rough edges as detection improves.

stylobot

Open source, production-ready bot defense

Stop bot abuse with explainable decisions.

StyloBot scores every request with detector-level evidence so your team can block, challenge, throttle, or allow traffic with confidence.

Detection latency

<1ms fast path

Privacy posture

Zero PII stored

Licence

Core OSS Forever

•Layered signals: browser, network, behavioral, fingerprinting, and optional AI escalation.

•Transparent outputs: probability, confidence, risk band, detector contributions, and narrative reasons.

•No lock-in: open source core, self-hosted options, and enterprise controls when you need them.

See Live Detection Explore Docs

Open source and free (at present) with full policy control from day one.

| LIVE

Bot Probability

Confidence

Risk Band

Location

Client Fingerprint

Network

Your Signature

Hits:

All data from this page load: zero PII stored

See full dashboard →

Top Bots Right Now

Loading bot activity...

Zero PII storage
privacy-first by design

Explainable decisions
detector evidence on every request

Fast response
sub-millisecond fast-path checks

Open source core
no black-box lock-in

Choose your documentation path

Use Customer Docs for setup and rollout playbooks, and GitHub Docs for deep detector internals, architecture, and API references.

Customer Docs Detector Guide GitHub Docs Map Repo Docs Index

13+ detectors analyse every request. You get the full picture.

Heuristics, behavioural analysis, fingerprinting, fast-path reputation caching, and optional LLM escalation. StyloBot treats a visitor as a multi-vector zero-PII signature, then matches that signature across time for higher-resolution decisions. You get probability, confidence, risk bands, detector breakdowns, and reasoned outputs. Block, log, challenge, throttle, or run shadow mode. All open source.

Drop-in integration

YARP proxy or ASP.NET Middleware adds bot intelligence as HTTP headers. Or use the JSON API.

Full transparency

Every request returns scores, confidence, signals, detector breakdowns, and reasoning.

Zero PII

Nothing stored. No IP addresses, no fingerprints, no cookies. GDPR compliant by design.

Why teams choose StyloBot

Transparent by default: no black-box verdicts, just detector-level evidence.

Built for real traffic: fast-path detection keeps latency low under attack.

Temporal resilience: signature matching stays effective through IP, UA, and location churn.

Flexible response model: allow, throttle, challenge, block, or honeypot redirects.

No lock-in: open source core, self-hosted, and free to adopt today.

What you get back

Real example: human detected with 99.6% confidence

humanProb

99.6%

confidence

90.6%

riskBand

VeryLow

action

Allow

detectors

aiRan

true

View full breakdown: 17+ detection signals with reasoning

HeuristicEarly 92% human likelihood

-84%

UserAgent Appears normal

-20%

Waveform Natural timing (CV=0.957)

-15%

TCP/IP Missing Connection header

+20%

...and 13 more signals

Fast path: <1ms for common requests. Full pipeline runs only when needed.

Runs everywhere. Adapts automatically.

From a $10 Raspberry Pi to Kubernetes clusters. Same code, seamless scaling. Built on StyloFlow.

Self-cleaning
Zero memory leaks

Bounded execution
No resource exhaustion

Real-time observability
No blind spots

Signal coordination
Event-driven workflows

Pi Zero

Minimum

Infinite

K8s scale

<1%

Overhead

Capabilities

Forensic analysis

Behavioral pattern recognition for sophisticated bot attacks.

Real-time adaptation

ML models that adapt to new threats as they appear.

Live dashboard

Monitor threats with real-time analytics and actionable insights.

Multi-vector signatures

Same visitor, different IP? We correlate UA, TLS, behavioral, and client-side signals to track identity across network changes.

Time-travel detection

When a visitor crosses a threshold, past requests are re-evaluated with richer cross-request signals, catching what single-request analysis missed.

Continuous learning

Gets smarter with every request. No manual retraining.

Outcomes teams care about

Beyond blocking bots, StyloBot is designed to improve operational confidence and reduce abuse handling overhead.

Lower abuse cost

Fast-path handling and risk-based actions reduce wasted compute and support churn.

Fewer blind spots

Detector-level evidence makes decisions auditable for engineering, security, and ops.

Safer iteration

Shadow mode and gradual policy rollout let you tune protection without risky cutovers.

What to look for in modern bot defense

A practical evaluation checklist for teams comparing approaches.

Capability	Why it matters	StyloBot
Explainable verdicts	Helps teams trust and tune production decisions.	Included
Open-source core	Improves flexibility, reviewability, and adoption speed.	Included
Zero-PII design	Simplifies privacy posture and compliance discussion.	Included
Adaptive learning	Reduces manual rule maintenance over time.	Included
Risk-based action policies	Supports nuanced responses beyond block/allow.	Included

Pricing

Open Source

Free at present, everything included

Unlimited requests
All 13+ detectors
Heuristic engine + continuous learning
LLM escalation (bring your own Ollama)
Live dashboard + real-time analytics
YARP gateway + NuGet package
Community support via GitHub

Start Free

Enterprise

Coming soon

On the roadmap

Managed cloud deployment
Multi-tenant configuration
SSO + team management
SLA + priority support
Custom detector development
Advanced reporting + exports

Get in touch

Questions, feedback, or partnership inquiries.