The X-Ray for Browser Network Traffic
MANTIS delivers real-time, causal visualization of every network request. See the 'why' behind the 'what' with sub-second precision.
Why current tools fail:
- DevTools show what, not why
- Tag managers hide causal chains
- Privacy audits lack evidence
Built by Stéphane Hamel, a pioneer in digital analytics and creator of WASP Inspector, one of the earliest tools for inspecting and validating web analytics implementations. Author of the Digital Analytics Maturity Model and advisor to organizations on data governance, privacy, and measurement strategy.
Engineered for Deep Inspection
MANTIS moves beyond simple logging to provide deep, multi-layered traffic analysis.
Sub-Second CDP Capture
Uses Chrome Debugger Protocol for low-level capture with zero overhead.
Causal Initiator Tracking
Identifies the source of every request, tracing the full chain from page to network event.
Advanced Visualization
Navigate complex request hierarchies with an interactive, real-time tree map grouped by tools and initiator.
Vendor Intelligence
Assigns vendor, product, legal category, and risk level for every request.
Live Stack Traces
Inspect clickable call stacks with source file and line number links directly in the live sidebar.
Interactive Sidebar
Deep-dive into headers, payloads, cookies and detailed tracker classifications with a single click on any tree node.
How It Works
Minimal overhead, maximum visibility.
Capture
Passive monitoring via Chrome Debugger Protocol.
Understand
Real-time heuristic and pattern-based classification using AI-augmented enrichment.
Act
Dynamic, causal-linked tree mapping shows exactly the request and flow of every request.
Why MANTIS is different
A specialized tool for specialized problems.
| Tool | Limitation | MANTIS |
|---|---|---|
| DevTools |
Surface-level visibility No causal relationships Manual, fragmented analysis |
Full initiator chain reconstruction Causal graph of request flows Unified, structured analysis |
| Ad blockers |
Binary block/allow decisions Relies on static lists No explanation of behavior |
Explain + classify every request AI-augmented enrichment Dynamic detection of unknown trackers |
| Tag debuggers |
Limited to a known list of tags No full network visibility No privacy or risk analysis |
Full network inspection Vendor & product identification Integrated privacy risk scoring |
| Privacy scanners |
Snapshot-based audits No runtime causality Limited technical depth |
Live session analysis Causal tracking of data flows Detects fingerprinting and hidden collection |
| Security tools |
Focus on vulnerabilities, not requests and data flows No marketing / martech context Limited tracker intelligence |
Data flow visibility across scripts Contextualized for analytics & martech Deep tracker and vendor intelligence |
| All tools above |
Fragmented workflows No unified model of “what → why → risk” |
Capture → Understand → Act in one system Causal + semantic + risk layers combined Single interface for analysis and audit |
Built for the Protectors of Privacy & Data Integrity
A mission-critical platform for professionals who need to expose the hidden layers of the web.
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Run a GDPR audit and prove data flows
Conduct data flow audits and Privacy Impact Assessments with empirical evidence.
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Debug broken server-side tagging chains
Follow the full initiator chain to identify exactly where data transformations fail.
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Identify hidden risks
Expose advanced tracking techniques like canvas, WebGL, and video fingerprinting. Reveal privacy risks like form scraping and extension probing.
Causal Request Flow Visualization
Frequently Asked Questions
Understanding the MANTIS advantage.
What is MANTIS?
MANTIS (Machine-Augmented Network Tag Intelligence System) is a specialized browser network inspection tool designed for privacy auditors, digital analysts, and tagging experts. It provides a causal, visual representation of network traffic.
How is MANTIS different from Chrome DevTools and other browser extensions?
MANTIS is to DevTools what an X-Ray is to a camera. While DevTools provides a linear log of network events, MANTIS reconstructs the full causal initiator chain, transforming flat lists into an interactive graph of data flows. This allows you to expose the "hidden" scripts behind complex server-side tagging and header-bidding stacks. Furthermore, unlike standard extensions that only recognize a narrow list of known marketing tags, MANTIS uses AI-augmented enrichment to classify every request—even unknown or obfuscated ones—by vendor, purpose, and privacy risk level.
Does MANTIS protect user privacy?
Absolutely. MANTIS is built with a Local-First architecture, meaning all traffic analysis and causal reconstruction happen directly on your machine. We do not track your browsing history, store your session data, or build user profiles. For vendor and risk identification, MANTIS only transmits scrubbed and anonymized HTTP request signatures to our enrichment API—ensuring your sensitive data never leaves your local environment.
Privacy by Design
MANTIS is built on a "Privacy First" architecture. No compromises.
No Tracking
We don't track your activity. Only anonymized, scrubbed metadata is sent for identification—your history is never stored.
Local-First Analysis
Analysis happens on your machine. AI enrichment uses anonymous HTTP request signatures.
Tracker-Free
We don't use any trackers—analytics, ads, or otherwise. MANTIS is built for absolute audit integrity.