LLM observability: every token, every euro, every field

Spend, operations, quality, latency, and surface health for all your AI traffic — in one dashboard. Set budgets, trigger alerts, and keep an audit trail for every request.

LLM spend is easy to start and hard to see. Requests fan out across providers, models, and workloads, and the first honest number you get is the invoice. 2kw.ai meters every request as it happens — per token, per euro, and for extractions down to the individual field — so cost is something you watch, not something you reconstruct.

Observability that stops at cost and latency misses the question that actually matters: is the output right? Because every extraction follows a versioned schema and every value carries a grounding score back to its source, quality shows up on the dashboard next to spend — and regressions show up when you ship a schema change, not when a customer complains.