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post/privacy-scan/v1/fingerprinting2 credits

Browser-fingerprinting detection: canvas, WebGL, audio, font and device code patterns plus known fingerprinting libraries (FingerprintJS, ThreatMetrix, and similar SDKs).

Working example
Parameters

The page to scan. Full URL (https://example.com/page) or a bare domain (example.com → https:// assumed). Only http/https; private/internal/metadata targets are SSRF-blocked. Alias: domain/site/website.

Follow redirects (http→https, apex→www) before scanning the final page (default true). Each hop is independently SSRF-validated.

How to capture the tracker graph. DEFAULT 'always': a full headless browser renders the page and captures live third-party requests — ad-tech, tag-manager-injected trackers, Consent Mode signals — plus the complete cookie jar. This is the most thorough scan (a missed tracker injected by JavaScript would be a false 'clean'). Set render=false (alias: never) for a fast, lightweight static-only scan suited to bulk runs. 'auto' starts static and escalates to a full render only when the page appears JavaScript-heavy.

request preview
curl -X POST https://api.reefapi.com/privacy-scan/v1/fingerprinting \
  -H "x-api-key: $REEF_KEY" \
  -H "content-type: application/json" \
  -d '{"url":"https://www.cnn.com"}'

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