Monitor LLM spend across OpenAI, Anthropic, Claude, Cursor, Hugging Face, and Grok in one daily signal — before token costs surprise you.
StackSpend is an LLM cost monitoring platform that tracks token and API spend across OpenAI, Anthropic, Claude, Cursor, Hugging Face, and Grok (xAI) in one dashboard. Get a daily Slack or email signal, model-level breakdown, anomaly alerts, and pace-to-forecast so LLM costs are visible the day they move — not at the invoice.
Every provider in one view.
The product’s daily spend-by-provider chart: see the composition of your bill across cloud and AI providers, with the daily-budget line — so a spike shows up the day it happens, and you can see which provider caused it.
Daily Spend by Provider
$24,321 total
Why this spend is hard to control
LLM spend can double in 24 hours. A prompt change, a model switch, a runaway agent loop, or a product launch multiplies token volume faster than any monthly dashboard reveals.
Every LLM provider bills differently and reports separately. OpenAI, Anthropic, Claude, Cursor, and Hugging Face each have their own usage view, so total LLM cost requires manual aggregation.
Native usage dashboards are retrospective. By the time you see the number, the tokens are already spent and the overrun is committed.
What StackSpend shows
StackSpend connects every LLM provider with read-only credentials and normalizes token and API spend into one view with a combined total and model-level breakdown.
A daily signal lands in Slack or email — green, amber, or red — so the team knows whether LLM spend is on track without opening a single provider portal.
Anomaly detection compares spend to your baseline and fires the day a model mix shifts or token volume jumps. Pace-to-forecast shows where the month lands before the billing cycle closes.
What we track
Common cost triggers
Real scenarios that cause spend to spike — often silently.
A prompt change quietly doubles average tokens per request across a high-traffic feature
A fallback to a premium model becomes the default and triples cost without an alert
A runaway agent loop sends 10× normal token volume overnight
An embeddings or eval backfill runs per event instead of using cache or sampling
OpenAI, Anthropic, and Cursor native usage dashboards
Native tools are built for investigation. StackSpend is built for prevention.
OpenAI, Anthropic, and Cursor native usage dashboards
- One provider at a time — no combined LLM total across providers
- Retrospective usage views, not same-day alerts
- No statistical anomaly detection on token or model-mix changes
- No pace-to-forecast against an LLM budget
StackSpend
- One dashboard for every LLM provider with a combined total
- Daily Slack or email signal across all model spend
- Anomaly detection on token volume and model mix
- Pace-to-forecast so LLM overruns are visible before month-end
Who this is for
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.
What you get when you connect
Most teams can connect and validate setup in about 5-10 minutes.
Read-only credentials only. StackSpend does not modify provider resources or billing settings.
Daily Slack or email updates, anomaly alerts, and budget tracking in one workflow.
Historical spend context plus pace-to-forecast so overruns are visible before month-end.
Frequently asked
What is token cost monitoring?
Which LLM providers can StackSpend monitor?
How does StackSpend catch LLM cost spikes early?
Start seeing your full stack spend.
Connect llm cost monitoring in under 5 minutes. 90 days of history loaded automatically. Daily signals from day one.