Read the game’s integrity,
from the faces of the game.

Emote AI points webcam-grade emotion & biometrics at referees and players, distils an experimental integrity signal, and pairs it with verifiable match-result hashes for markets, fan picks, and the Sentinel agent.

Try the analyzer ->See the on-chain proof

Experimental heuristic for entertainment only - NOT a lie detector and not evidence of wrongdoing. Facial/physiological deception detection is not scientifically reliable.

How it works

Emote AI reads the face

Webcam or match clip → heart rate (rPPG), stress, fatigue, expression.

Signal with context

A composite suspicion score is shown beside the match feed as an experimental context layer.

Markets · Room · Sentinel

Each surface shares the same match feed, pricing model, and public result hash.

One signal. Three products.

Each surface shares the same feed, design system, and experimental integrity context.

Prediction Markets & Settlement

Markets

On-chain match-result markets using TxODDS prices and a verifiable result oracle. Integrity readings are shown as an experimental context signal.

Open ->

Consumer & Fan Experiences

The Integrity Room

Fans compare a live ref and player meter with match events, make demo picks, and collect demo Moment cards for correct calls.

Open ->

Trading Tools & Agents

Sentinel

An autonomous agent scans TxODDS prices, ranks positive expected-value edges, and books simulated positions to an inspectable blotter.

Open ->

rPPG

real heart-rate & HRV from a webcam

shared Solana program for oracle result settlement

trust required: every reading is verifiable

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World Cup matches to watch over

Detection is real (rPPG/HRV/EAR/expression); the integrity score is an experimental heuristic for entertainment, shown separately from the on-chain result hash. Methods & research →

Read the game’s integrity,from the faces of the game.

One signal. Three products.

Read the game’s integrity,
from the faces of the game.