The problem
Observability bills grow with volume nobody chose to keep, and AI features add a cost line nobody can attribute.
How ClarityNxt helps
Ingestion metering attributes uncompressed volume per service and AI token spend per user. Quotas warn early and degrade gracefully at the cap, and older data archives to open Parquet on object storage.
What you get
- Per-service volume attribution in real time
- Per-user AI token and cost accounting
- Quota warnings at 80% and 95%, graceful degradation at 100%
Products in this solution
Other solutions
Incident response
From alert to written RCA
AI cost & governance
Control what AI agents spend
Security operations
SIEM with workload context
Data protection & compliance
GDPR, DPDP and data residency
Open standards, no lock-in
OTel in, SQL across, Parquet out
Service onboarding
New services observable on day one
See it on your own questions.
Request a login to the live demo with 80M spans, or book a walkthrough on your stack.