Smart detection
AI-driven fraud checks flag bots, duplicates, and synthetic responses before they pollute your data.
Data Quality Reports
Evidence of integrity, month after month
We publish short, visual snapshots of real study hygiene — bot removals, fraud detection, and human review. Explore the latest reports, or subscribe and get a new one in your inbox each month.
We share highlights here; full charts & methodology live inside each report.
We don't just collect data — we protect its integrity.
AI-driven detection + human review (system codename: Agatha).
May 2026 avg removal rate
61%
Across 3 studies
April 2026 avg removal rate
66%
Across 5 studies
March 2026 avg removal rate
41%
Across 6 studies
Why removals vary
Different audiences & suppliers, same high standard.
Rolling removal rate chart appears inside each PDF.
How we ensure quality
Detection, review, and transparency — on every study
Human review
No data leaves our hands without a manual pass. We look for coherence, relevance, and context.
Transparent methods
Every report links to methodology notes and the month's removal rationale.
Monthly reports
Short, visual PDFs
Click any month to open the full report.
Data Quality
May 2026
Avg removal rate: 61% across 3 studies
View reportData Quality
April 2026
Avg removal rate: 66% across 5 studies
View reportData Quality
March 2026
Avg removal rate: 41% across 6 studies
View reportData Quality
February 2026
Avg removal rate: 43% across 7 studies
View reportData Quality
January 2026
Latest monthly data quality metrics
View reportData Quality
December 2025
Avg removal rate: 53% across 7 studies
View reportData Quality
October 2025
Avg removal rate: 21% across 7 studies
View reportData Quality
September 2025
Avg removal rate: 34% across 7 studies
View reportData Quality
August 2025
Avg removal rate: 36% across 8 studies
View report