Zylver Meter
LLM cost monitoring down to every call
AI cost optimization software with per-tenant AI cost attribution. Track LLM token usage and spend by model, feature, and customer. Set budgets and hard caps, route by cost and quality, and replace repeat LLM calls with deterministic functions.
The problem
"$18,400 on LLM calls. Which features? Which customers?"
Provider dashboards show the total bill. They don't tell you which feature burned the tokens, which customer used it, or which model was overkill for the job. You can't optimize what you can't attribute.
Meter instruments every call so you know exactly where the money goes and what to do about it.
The dashboard
LLM cost tracking by tenant, feature, and model.
tenant: acme-corp | period: last 7d
feature:content.generate $1,847.12 (62% of tenant spend)
└─ model: gpt-4o 12,804 calls $1,640.30
└─ model: claude-haiku 4,120 calls $206.82
feature:docs.extract $812.44 (27% of tenant spend)
└─ router: distillation hit rate 68% (saved $1,723)
alert: content.generate approaching 80% of monthly cap ($2,400) _
What Meter does
Attribution. Control. Savings.
Per-tenant AI cost attribution
Tag every request with tenant, feature, user, and session. Our guide to tracking AI costs per customer explains how attribution supports pricing and margin decisions.
LLM budget management
Hard caps per tenant, feature, or experiment. Soft alerts before limits. Automatic throttling when thresholds hit.
Cost-aware LLM routing
Pick the cheapest model that meets quality thresholds. Fall back automatically when a provider degrades.
Distillation engine
Pattern match across your calls. Convert repeat operations into near-zero-cost deterministic functions. The pattern that distilled 73% of AI operations in our own deployment.
Quality sentinel
Drift detection, output scoring, anomaly alerts. Cost savings never come at the price of quality regressions.
Provider coverage
All major hosted-model providers and self-hosted endpoints. One instrumentation surface.
See the bill before it ships.
Stop discovering AI bills after the fact. Join the Meter cohort to lock in cost-attribution and pricing for the first billing year.