Fraud under 1%. Research you can trust.
Respondent maintains a sub-1% fraud rate with a three-layer defense - prevention before onboarding, detection during matching, and rapid response to bad actors - so every session is with a genuine, verified human.
Three layers between fraud and your data.
Every participant clears prevention, detection, and response checks before a single answer reaches you.
Prevention
Every applicant clears hard identity gates before they ever reach a study.
Detection
Continuous monitoring flags anomalies across sessions in real time.
Response
A dedicated human team reviews high-risk projects and removes bad actors fast.
Genuine participants, insights you can build on.
Fraud kept out at every layer - so every session is with a real, verified participant you can trust the data from.
Identity-verified
Phone, work-email, and government-ID gates before anyone joins a study.
Monitored continuously
IP / VPN and answer-consistency checks flag anomalies in every session.
Human-reviewed
A dedicated team audits high-risk projects and removes bad actors.
Clean data, start to finish.
Fraud is stopped at every step - from signup to session - so only real, verified participants reach your study.
Eight safeguards, always on.
Layered checks at sign-up, at matching, and during the session - backed by seven-plus years of fighting fraud.
Phone verification
Blocks fake or cloud-generated numbers by requiring SIM-issued proof tied to the participant’s country.
IP & VPN monitoring
Catches location mismatches and flags VPN usage patterns to identify fraudulent participants before they reach your studies.
Work email verification
Validates B2B participant domains and requires re-verification every 90 days to keep professional credentials current.
Profile locking
Prevents sudden job-title changes by limiting profile updates to periodic intervals, so identities stay stable.
Screener consistency
Identifies contradictory responses across multiple screeners that don’t form a plausible identity profile.
Bank-grade ID checks
High-risk applicants submit a government ID plus a live selfie - the same technology used by online banking.
AI pattern detection
Continuously retraining systems learn from every detected fraud case, making future detection faster and smarter.
Human review team
Dedicated reviewers manually audit high-risk projects and feed new fraud patterns back into the AI system.
