IdentXR — Beta Tester Quick Reference

0 Before You Start

The tool is hosted online — no file to download or install. Download testdata.zip from the link at the bottom of the tool and unzip it. You'll use one file from inside it during setup.

Tip: IdentXR was developed and tested primarily in Chrome, so that's the best browser to use if you run into anything unexpected.

Note: All your data stays in your browser. Nothing is sent to a server. Data persists between sessions so you only need to import once.

1 Load the Test Data

The tool starts empty. Your first step is importing the demo dataset.

Go to the Data Management tab

It's the last tab in the navigation bar at the top.

Find "Export / Import Database" and open the ⬇ Import section

Select Merge (Add New, Keep Existing) as the import mode.

Select the test data file

Browse to IdentXR_Demo Data 2026-03-21.json from the unzipped testdata folder and confirm the import.

Verify the counts in the header

You should see MP: 131 · UHR: 126 · Enriched: 85. If so, you're ready to go.

Go to the Search tab

You should see UHR cases listed. Switch to Missing Persons using the toggle top-right of the search panel.

Tip: The data persists in your browser between sessions — you won't need to re-import it next time you open the tool.

2 Try the Search

The Search tab is your starting point for browsing cases.

Things to try

Search UHR by State: TX — you should get several results including cases from San Antonio, Houston, and El Paso
Switch to Missing Persons and filter by Race: Black / African American and Sex: F
Try the enriched filter — set Enriched Data: Has Enriched Data to see only cases with full physical detail
Click the 📋 note icon on any row to add a note — the icon turns teal when a note is saved
Click ★ on a case to add it to your Watchlist

Tip: Click Match on any row to jump straight to the Cross-Reference tab with that case pre-loaded.

3 Run a Cross-Reference

This is the core feature. Pick a case ID from the match pairs PDF and see if the tool surfaces the right match.

Go to the Cross-Reference tab

Type a UHR case ID in the box — start with UP22001.

Set Min Score to 50+ and click Find Matches

Results appear sorted by score. Look for MP12001 near the top — that's the intended match for this case.

Click ⇄ Compare on the match

The side-by-side comparison panel opens below. Review the field-by-field match indicators and score breakdown.

Export the comparison

Click ⬇ Export CSV in the panel header to download a spreadsheet of the comparison.

Match pairs reference

All matching pairs are listed in IdentXR_Demo Data MP UHR Match Pairs.pdf included in testdata.zip. Keep it open alongside the tool while testing — it shows the intended UHR/MP pairings and the rationale for each match so you can verify whether the cross-reference engine is surfacing the right results.

A few to start with

These are good first runs — each has strong enriched data on both sides so you'll see the full scoring breakdown:

UHR ID	MP ID	Name	Why it's a good test
UP22001	MP12001	Maria Vasquez	Same city, matching cross wrist tattoo and back floral tattoo
UP23006	MP13006	Robert Callahan	Navy veteran — anchor and ship tattoos are highly specific markers
UP23008	MP13008	Marcus Reid	Jazz trumpet + Saints tattoos — very distinctive combination
UP23002	MP13002	Carlos Mendoza	Eagle + family crest tattoos, I-10 corridor, evidence of restraint
UP22031	MP12031	Amber Lewis	Homicide, I-64 corridor, sunflower ankle and rib script tattoos

Tip: Cases marked with a purple ◆ next to the ID have enriched data. When both sides of a pair are enriched, the score gets bonus points from physical and tattoo comparisons — you'll see these in purple in the score breakdown.

4 Understanding Scores

Scores reflect how well two cases align across demographics, geography, timeline, and physical data.

70+

Strong match — worth prioritizing. Both enriched cases in this dataset should hit this range.

55–69

Moderate match — plausible, worth reviewing the comparison panel and circumstances.

<55

Weak match — demographic overlap only. Lower priority unless other factors stand out.

The comparison panel breaks down exactly where points came from. Green ✓ means the fields align, amber ~ means partial (neighboring state, age within range, similar color), red ✗ means a conflict.

5 Other Features to Explore

📍 Map Tab

Geographic view of all cases. UHR in teal, MP in blue. Click any marker for case details. Try filtering by state to see clustering.

★ Watchlist

Star cases as you work. The Watchlist tab collects them in one place. Good for tracking cases you want to follow up on.

📊 Data Overview

Charts and stats on the dataset — demographics breakdown, state distribution, timeline by decade. Gives a sense of the data shape.

🔍 Analysis Tab

Four tools live here. Pattern Hunter — try with State: FL to see the Polk County cluster. Case Profiler — VICAP-style query builder with 12 filter dimensions. Cold Case Prioritizer — ranks UHR cases by how overdue they are for identification. Demographic Gap Report — surfaces populations where UHR cases outnumber MP records.

📝 Case Notes

The 📋 button on any row opens a note editor. Notes save automatically and persist between sessions. The icon turns teal when a note exists.

⬇ Export CSV

In Cross-Reference results, use the Export to CSV button to download the full match list. In the comparison panel, export that specific pair.

6 Clearing Data

If you want to reset and start fresh, go to Data Management:

Clear All MP/UHR Data — removes all case records and resets the search, results, and comparison screens
Clear All Enriched Data — removes physical detail while keeping base records

You can re-import IdentXR_Demo Data 2026-03-21.json at any time to restore everything.

What to Look For — Feedback Areas

When you're testing, these are the areas that would be most useful to get feedback on:

Do the right match pairs score highly? Cross-reference the pairs from the PDF and note which ones the tool surfaces at 50+ and which it misses
Is the comparison panel clear? Does the field-by-field breakdown make sense? Anything confusing or missing?
Search filters — do results feel accurate? Any filters that behave unexpectedly?
Cold Case Prioritizer and Gap Report — do the rankings and signals feel meaningful?
Performance — any slowness, especially in Cross-Reference or Pattern Hunter?
Anything broken — errors, buttons that don't respond, data that looks wrong
Anything missing — features you'd expect that aren't there

Please submit feedback using the form at identxr.org/feedback or reply directly to your beta access email.