Institutional-grade fraud intelligence — originally built for financial services — protecting every panelist interaction on TFSurvey. Real-time, multi-signal, fully auditable.
CalibraSync wasn't built for market research. It was built inside CGP Data Group to address data integrity in financial services — where misidentified respondents and fraudulent inputs carry genuine legal and financial consequences. When TFSurvey integrated CalibraSync, it brought that institutional standard to a research context that had been tolerating a far lower bar.
The difference isn't a better screener. It's a completely different philosophy: fraud prevention as architecture, not as a post-collection filter. Every panelist is cleared before they touch a survey, continuously monitored during participation, and assigned a persistent Trust Score that follows them through their panel lifecycle.
CalibraSync evaluates these signals in parallel. No single bypass defeats the system.
Hardware and software signature analysis across browser, OS, screen resolution, fonts, and GPU. Identifies devices re-entering under different identities.
Real-time cross-reference against VPN providers, proxy servers, Tor exit nodes, and datacenter IP ranges. Geographic consistency validated against stated location.
Typing cadence, mouse movement trajectories, scroll behavior, and interaction timing analyzed against cohort models. Identifies automated tools and atypical human patterns.
Response timing patterns evaluated against category-specific baseline models. Identifies professional respondents who have memorized survey formats — even at normal absolute speed.
NPI registry lookups for healthcare. LinkedIn cross-reference for B2B. Corporate email domain validation. Licensing board verification for specialized professionals.
Stated location cross-referenced against device timezone, GPS metadata, IP geolocation, and stated employer location. Multi-point inconsistency triggers review.
Persistent identity graph tracks panelist interactions across devices and sessions. Detects household sharing, account farming, and coordinated survey completion rings.
Long-term participation patterns scored against professional cohort norms. Anomalous completion frequencies and incentive-seeking behavior flagged continuously.
Open-ended responses analyzed for AI-generated content using semantic similarity models and linguistic fingerprinting — addressing 2026's emerging LLM-assisted survey fraud challenge.
| Detection Method | Standard Panel | TFSurvey + CalibraSync |
|---|---|---|
| Identity Verification | Self-reported screener only | NPI / LinkedIn / corporate directory cross-reference |
| Bot Detection | CAPTCHA at entry only | Behavioral biometrics + device analysis (continuous) |
| Duplicate Prevention | Basic cookie / device check | Multi-device fingerprint + identity graph matching |
| VPN / Proxy Detection | Not typically detected | Real-time IP reputation + VPN signature database |
| AI Response Detection | Not available | Semantic fingerprinting on all open-ended responses |
| In-Survey Monitoring | Speeder check only | Continuous behavioral analysis throughout session |
| Professional Credentials | Self-declared | Third-party verified (NPI, licensing boards) |
| Audit Trail | None / completion only | Full per-respondent verification chain available |