MindFrame's Research API provides aggregate, anonymised cognitive data — calibration distributions, bias patterns, mode difficulty curves — for academic and research use.
View Research API docs →Available data
/api/v1/public/research/calibration-trends
Population-level calibration scores over time, segmented by mode and difficulty tier
/api/v1/public/research/bias-patterns
Aggregate bias detection rates across all 15 modes — how common is each bias pattern?
/api/v1/public/research/mode-difficulty
Difficulty distribution and score curves for each training mode
/api/v1/public/research/social-proof
Aggregate platform statistics — users, sessions, challenges completed
Privacy
✓ No individual records
All Research API responses are aggregated. Individual users cannot be identified from any API response.
✓ Minimum group sizes
Any aggregate containing fewer than 50 sessions is suppressed to prevent quasi-identification.
✓ No PII
No names, emails, or account identifiers are included in any Research API response.
✓ Rate limited
Research API access is rate-limited and requires a research API key. Automated scraping is prohibited.
Access
Apply for a research API key
Email [email protected] with your institution, research question, and intended use. We review within 5 business days.
Review the Research Terms
All API access is subject to our Research Terms of Use — available on the Research API documentation page.
Authenticate and query
Include your API key in the X-Research-API-Key header. No other credentials required.
We support academic research on metacognition, calibration, and cognitive bias.
[email protected] →