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 (our system codename: Agatha).
January 2025 avg removal rate
43%
Across 7 studies
December 2025 avg removal rate
46%
Across 7 studies
Oct+Nov 2025 avg removal rate
53%
Across 7 studies
Why removals vary
Different audiences & suppliers, same high standard.
Rolling removal rate chart appears inside each PDF.
Smart detection
AI-driven fraud checks flag bots, duplicates, and synthetic responses before they pollute your data.
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 data quality reports
Short, visual PDFs. Click to open the full report.
Data Quality
February 2026
Latest monthly data quality metrics
View report
Data Quality
January 2026
Latest monthly data quality metrics
View report
Data Quality
December 2025
Avg removal rate: 53% across 7 studies
View report
Data Quality
October 2025
Avg removal rate: 21% across 7 studies
View report
Data Quality
September 2025
Avg removal rate: 34% across 7 studies
View report
Data Quality
August 2025
Avg removal rate: 36% across 8 studies
View report