Fighting Spam & Data Poisoning — The OpenLedger Defense System

Open systems attract innovation — but also noise.

@OpenLedger protects against low-quality or malicious data using a multi-layered defense approach.

Contributors stake tokens when submitting data, and validators — both human and AI — verify quality and relevance before acceptance.

If a dataset is found to be spam, duplicated, or misleading, its stake is slashed, discouraging bad actors.

The reward system favors influence and accuracy, not volume.

In short: only meaningful, verifiable data survives.

This makes #OpenLedger $OPEN the first AI protocol that treats data like currency — because both lose value when polluted.

Clean data = trusted AI.