AI Infrastructure
Web Authority Signals
Train trust and authority models on 43T backlinks, referring domain graphs, and link intelligence.
CSV, JSON
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Web Activity Feed
Raw clickstream from millions of opt-in user: page visits and navigation paths at the event level.
Product answers:
- How do users actually navigate the web at path level?
- What referrer signals precede key actions?
- How does browsing behavior evolve over time?
This product is for:
- Data scientists building behavioral models
- ML engineers training models on real navigation patterns
- Product teams reconstructing sessions and mapping competitive funnels
Built to solve:
- Behavioral models trained on aggregated summaries, rather than real events
- Missing path-level detail and referrer signals
- Loss of temporal granularity that obscures meaningful behavioral patterns
What's inside
- One of the world’s largest global clickstream panels
- Browsing paths & referrer data
- Country & device-level attributes in schema
- Anonymized, privacy-safe user data
- Cleaned, normalized, point-in-time dataset
- Daily delivery with up to 6 years history
Coverage & scale
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The reliability of our audience intelligence data is supported by significant global scale, with tens of millions of monthly active users across 185 countries. This breadth provides extensive visibility into digital activity across markets.
Ready to build on real data?
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