Private Preview
Local-first analysis
Built for privacy audits
The X-Ray for Browser Network Traffic
MANTIS reconstructs the causal chain behind browser network requests, so privacy and martech professionals can see what fired, why it fired, and whether it creates audit risk.
Built by Stéphane Hamel, creator of WASP Inspector and advisor on digital analytics, privacy, and data governance.
Current tools show fragments. MANTIS shows the flow.
Tag managers hide the causal chain behind requests.
Privacy audits need evidence, not just screenshots.
From network traffic to audit evidence
MANTIS captures browser network activity, reconstructs initiator chains, classifies vendors and products, and helps analysts document privacy-relevant behavior.
Capture
Classify
Review
Report
Govern
See what fires
Capture live network requests and visualize them as a causal tree instead of a flat log.
Understand why it fired
Trace requests back to scripts, tags, initiators, and interaction events.
Identify privacy risk
Classify vendors, products, legal categories, and risk levels using structured enrichment.
Produce evidence
Save audit projects, compare page loads, and export findings in professional formats.
PlannedThree views. One coherent picture.
MANTIS surfaces what your browser is actually doing — across time, across vendors, and across the full causal chain.
Follow the causal chain from a single vendor all the way through tags, redirect hops, and downstream calls.
Radial tree clusters vendors by trust level, letting you spot unknown or high-risk parties instantly.
Network density, lifecycle markers, consent signals, and interactions — all on one scrollable timeline.
See what happens before and after consent
MANTIS helps compare requests fired before consent, after consent, and after specific user interactions, making hidden data flows easier to prove and explain.
View use cases
Choose the right level of observability
MANTIS is planned around a clear progression from public inspection to practitioner audit work and team governance.
Public
See what a site is doing.
Live request capture, causal tree visualization, basic timeline, request details, and limited vendor/product identification.
Coming soon
Practitioner
Turn observations into an audit file.
Saved audit projects, notes, overrides with rationale, consent validation, exports, and AI enrichment credits.
Roadmap
Enterprise
Govern privacy observability across teams.
Multi-user workspaces, role-based access, approval workflow, custom templates, API access, and later SSO/private deployment.
Privacy by Design
MANTIS is designed for privacy-sensitive analysis. Network reconstruction runs locally, and enrichment uses scrubbed request signatures rather than browsing history or raw payloads.
Read our Privacy Policy- Local-first analysis
- No behavioral profiling
- Scrubbed enrichment requests