Verify your source

See the floor your source has to clear — then see what it hides.

Drop in a raw entropy sample. We run the public NIST-style health tests right here in your browser so you can watch the standard clear your source with your own eyes. These are the ordinary tests — the floor every source beats. They are not what we sell. What we sell is finding what passes them.

The public floor — not our deep scan

Choose a raw sample file

Any binary file works — raw TRNG output, before conditioning. No format restriction, no keys or secrets, just noise.

Nothing is uploaded. Your file is read and analysed entirely on this device. It never reaches our servers.

or paste data directly
Hex or raw bytes · a few KB gives a clearer picture
—
—
—
Min-entropy / bit
—
NIST MCV estimate over the full sample. 1.000 = ideal.
Min-entropy / byte
—
Per symbol, out of 8.000 bits.
Repetition Count Test
—
Longest identical run vs a conservative cutoff.
Adaptive Proportion Test
—
Over-represented value in any 512-sample window.

Why a spot-check can't be trusted on its own

The standard reads min-entropy from a small slice. At that size the estimator's confidence band is wide — a real deficit and pure noise look the same. More data narrows it until the truth separates from the noise. Closing that gap, over the whole stream and at a controlled false-alarm rate, is what our deep scan is built for.

1 MiB spot-check—
—
Full sample—
—
—

This is the public NIST-style baseline (RCT, APT, MCV min-entropy), with conservative one-shot cutoffs — the floor, not our deep scan. Your data was analysed locally and never left this device.

What the standard cleared — and we didn't

A real source that passes every standard test.

You just watched the standard clear a source. Here is a real one we measured: 10 units of a Nordic nRF52840 on-chip TRNG, 24 hours, ~13 GB of raw output, 0 integrity errors. Every unit passed the NIST SP 800-90B battery. This is what our deep scan found in them — at the same ~0% false-alarm rate as the tests that cleared them.

Finding
Standard tests
RawGauge
Per-unit entropy deficit
standard:not resolved
rawgauge:0.4–1.4% below full
0.5% bias detection
standard:0%
rawgauge:100% · t up to 435
Hidden correlation, balanced output
standard:0–2%
rawgauge:100%
Cross-channel shared entropy
standard:blind by design
rawgauge:100%
Per-device fingerprint
standard:—
rawgauge:ANOVA F = 24,346

Every figure is measured at the same ~0% false-alarm rate as the standard tests, confirmed on a null control, and reproducible from the signed evidence pack. Measured on the FIT IoT-LAB open testbed. We show you the result and the proof — never the detector.

Your source will clear the floor too. We'd look underneath it.

Send us a raw sample and what you need to prove. We scope it under NDA, with encrypted transfer and a defined retention and destruction policy.

info@rawgauge.com