Core KPIs

Technical KPIs: e.g., Chain-Health Score (composite of sequencer uptime, inclusion latency, DAC availability); Proof acceptance rate vs submissions (ensuring low rejection due to anomalies); Average transaction inclusion time; System uptime/failover success rate .

User/Business KPIs: e.g., Daily/Monthly Active Contributors; median proofs per device per day (engagement) ; Geographic coverage (km² or road-miles covered); Number of enterprise clients and Annual Recurring Revenue ; Enterprise Net Promoter Score >50 (i.e., clients are happy) ; month-over-month usage growth (both in data volume and in revenue) .

Risk KPIs: e.g., Anomaly/Sybil detection rate (keep bad data <5% of total) ; False positive rate in flagging honest data (<1%) ; Number of compliance or privacy incidents (aim for zero) ; Security incidents per quarter (<2, and none severe) .

These KPIs will be transparently reported (perhaps via a dashboard or quarterly report), aligning with Authra’s ethos of openness. They also can inform token governance decisions (e.g., emissions adjustments if usage vs issuance targets deviate).