Thousands of potential matches exist in the NamUs database right now. IdentXR cross-references missing persons and unidentified remains cases, with analysis tools built to surface connections, patterns, and cold case leads that are easy to miss in manual review.
NamUs holds one of the most comprehensive databases of missing persons and unidentified remains in the United States. But browsing it manually, case by case, is like searching a library with no card catalog.
Analysts, investigators, and everyday people who care about these cases spend hours cross-referencing by hand, comparing demographics, dates, and locations one record at a time. Families wait years for answers that are sometimes already sitting in the data.
IdentXR was built to change that. It takes the data you already have and runs intelligent cross-reference analysis across thousands of cases in seconds, surfacing scored potential matches, geographic patterns, and demographic gaps that manual review would never catch.
Currently in beta — accessible directly at this site with no installation required. The full hosted platform with a shared, centrally updated database is in active development.
Export cases from NamUs as CSV files and load them into IdentXR. The tool handles both Unidentified Human Remains and Missing Persons records, automatically parsing and indexing every field.
Paste NamUs case pages to add full physical descriptions — height, weight, hair and eye color, tattoos, scars, clothing, dental, DNA, and circumstances narratives. Enriched cases score significantly higher in cross-reference analysis.
Enter any case ID and IdentXR scores every candidate in the opposite dataset — evaluating sex, race, age compatibility, geographic proximity, timeline logic, and physical characteristics. Results are ranked by score with a full breakdown.
The Analysis tab surfaces things individual case review never would — geographic clusters, demographic gaps, cold cases ranked by how overdue they are for identification, seasonal patterns, and corridor analysis along major interstates.
Export cross-reference results as CSV, download side-by-side comparison reports for case pairs, and share your working database with colleagues — cases, enrichment, notes, and watchlist all in one transferable file.
Built with crime analysts, volunteer researchers, and families of the missing in mind, every tool was designed to help make connections more quickly.
Scores every candidate using sex, race, age, geography, timeline, and physical data. Ranked results with a full scoring breakdown and direct NamUs links.
FREEField-by-field comparison with match / partial / mismatch indicators on every field. Exportable as CSV for case files.
FREEAdd notes to any case from any screen. Star cases to your watchlist. Everything persists between sessions and travels with your database package.
FREEGeographic view with clustering, terrain overlays, and radius search that finds every case within 10–100 miles of any point on the map.
PROKnown serial killer victim locations overlaid on the case map with victim profile data and proximity filtering. Cross-reference your cases against known offender patterns.
PRODefine a victim profile and surface geographic clusters, interstate corridor patterns, timeline heatmaps, and anomalies across the full dataset.
PROVICAP-style query builder with 12 filter dimensions — demographics, terrain type, circumstances keywords, condition of remains, season, day of week, and serial killer proximity.
PRORanks UHR cases by time unidentified, available MP matches, and enrichment status. Answers the question every analyst struggles with — where should I focus first?
PROCompares MP and UHR counts by race and sex. Surfaces groups where unidentified remains outnumber missing person records — a direct signal of systemic identification gaps.
PROWhether you're a professional investigator or a dedicated volunteer, IdentXR gives you tools that used to require a full forensic team.
Multi-dimensional case profiling and pattern analysis built around the VICAP methodology you already know.
Fast cross-reference of active cases against the full NamUs dataset. Serial killer proximity flagging built in.
Enriched case comparison with physical descriptors, dental, and DNA status. Exportable comparison reports for case files.
Demographic gap analysis surfaces cases where biological data is most lacking — prioritize where your work has the highest impact.
Cold case prioritization and gap reporting gives advocates the evidence they need for underrepresented populations.
No credentials required for public access. Search, browse, and run cross-references on the full NamUs dataset.
Public access is free and always will be. Pro adds the full analytical suite for professionals and serious researchers.
IdentXR is in beta and available to try right now — no installation required, no waitlist. Everyone gets full Pro access during the beta period while we build toward a hosted platform with a shared, centrally updated database.
The beta runs on provided test data so you can explore every feature freely. Just agree to keep the tool confidential while it's pre-release, then dive in.
All backgrounds welcome — professional analysts and citizen researchers alike. Accept the beta terms to get straight in.
Access the Beta →New here? Check out the beta guide first for a walkthrough of the tool, or reach us any time at hello@identxr.org.