Token Cost Monitoring

Track LLM token spend by model, feature, and request so token costs are visible before the invoice — across OpenAI, Anthropic, Claude, and more.

StackSpend tracks LLM token costs across OpenAI, Anthropic, Claude, Cursor, and other providers, broken down by model, feature, and request. See input vs output token spend, watch cost-per-request trends, get daily signals and anomaly alerts, and forecast token spend before the billing cycle closes.

Read-only access·14-day free trial·No credit card required
The workflow

How it works in practice

1

StackSpend breaks token spend down by model and provider, separating input and output token cost so the expensive side is obvious.

2

Cost per LLM request shows whether prompt size, context length, or retries are moving the number.

3

Daily signals, anomaly detection, and pace-to-forecast surface token cost spikes before the invoice lands.

Real scenarios

When this use case fires

A prompt or system message grows and token spend climbs across every call

A retry or agent loop multiplies token usage on a single workflow

Long-context requests push output token cost far above expectations

A new AI feature ships with unknown cost per request

Token spend is the largest line in most LLM bills, but provider dashboards report aggregate token counts, not cost by feature or request.

Prompt and context growth inflate token usage silently — a small prompt change can multiply spend across millions of calls.

Without per-model token cost visibility, teams cannot tell whether output tokens, retries, or long context are driving the bill.

Technical detail

How StackSpend does this

Provider token usage dashboards is built for different jobs. Here is what StackSpend adds.

Provider token usage dashboards

  • Report aggregate token counts, not cost by feature or customer
  • No input vs output cost split in one view
  • No cost-per-request trend or forecast
  • One provider at a time, no cross-provider token view

StackSpend

  • Token cost by model and provider in one place
  • Input vs output token spend separated
  • Cost per LLM request with trend and forecast
  • Daily signals and anomaly alerts on token spend

What we track

Input and output token spendCost per LLM requestToken cost by model and providerToken spend trends and anomaliesPace-to-forecast on token spend
ICP

Who uses this

Teams that want daily visibility into spend without manually checking billing portals.

Buyers replacing spreadsheets and fragmented native dashboards with one monitoring workflow.

Operators who need read-only setup, alerts, and forecasting before overrun becomes month-end reality.

Questions

Frequently asked

What providers does token cost monitoring work with in StackSpend?
StackSpend supports token cost monitoring across all connected providers — including AWS, GCP, Azure, Snowflake, Vercel, ClickHouse Cloud, OpenAI, Anthropic, Claude, Cursor, GitHub, Hugging Face, Grok (xAI), and Twilio. You connect your providers once and the use case applies automatically.
How does StackSpend power token cost monitoring?
StackSpend breaks token spend down by model and provider, separating input and output token cost so the expensive side is obvious. Cost per LLM request shows whether prompt size, context length, or retries are moving the number.
How quickly can I set up token cost monitoring?
Most teams are up and running in under 10 minutes with read-only credentials. Full setup instructions are at /resources/guides/connecting-providers.

Set it up in 5 minutes. Know by tonight.

Connect your providers with read-only access. Token Cost Monitoring starts from day one — no manual setup, no threshold tuning required.

14-day free trial · No credit card required · Read-only access
Token Cost Monitoring Software & Alerts — StackSpend