Track AI spend by team, customer, and feature. Forecast bills and know which products are worth the cost.
Works with the providers you already use
What you get
Connect your providers and get total spend, per-model breakdowns, invoice reconciliation, and Slack alerts in one auto-syncing dashboard.
OpenAI, Anthropic, Google Gemini, and Vercel AI Gateway in one auto-syncing dashboard. Month-over-month trends and spend breakdowns by model and project, plus AI spend forecast on Pro.
Total Spend
$12,847
+14% vs last month
Total Tokens
In
4.2M
Out
1.8M
Forecast
$18,240
projected month
By Provider
Daily Spend
Compare tracked spend against actual invoices. Catch hidden charges and billing errors.
Tracked
$12,847
Billed
$12,903
Drift
-0.4%
$56 untracked spend identified
Attribute AI cost to customers, features, and teams. See exactly which product is driving spend.
acme_corp
support_agent
globex_inc
doc_search
initech
summarizer
acme_corp
summarizer
Set spend thresholds and spike detectors. Alerts go straight to Slack.
Alert rules
Daily amount - Anthropic
Triggers over $200/day
vs Yesterday - OpenAI
Triggers at 200% of yesterday
Monthly budget - All spend
Triggers over $5,000/month
Recent notification
Daily amount - Anthropic
Triggered at $247.60 → sent to #finance-alerts
Per-request observability
Add the SDK for the most granular layer of tracking: attribute every request to a customer, feature, team, and prompt version in real time. Two lines of code. Works with Python and TypeScript.
import superpenguin as sp
from openai import OpenAI
sp.init(api_key="sp_...")
client = sp.wrap(OpenAI(), metadata={
"customer_id": "acme_corp",
"feature": "support_agent",
"team": "cx",
"environment": "production",
"prompt_key": "ticket_summary",
"prompt_version": "3",
})
# Calls go directly to OpenAI. Cost is tracked automatically.
response = client.chat.completions.create(
model="gpt-5.4",
messages=[{"role": "user", "content": prompt}]
)Also works with Vercel AI Gateway, OpenRouter, Together AI, Fireworks AI, and 100+ providers via LiteLLM.
Engineering ROIPro
Connect Cursor and GitHub. SuperPenguin ties every dollar of Cursor spend to the PRs it produced, broken down by engineer and project.
Cursor spend
$1,284
Attributed
86%
Avg / PR
$12.80
Recent merged PRs
Let callers interrupt the agent mid-reply
voice-agent #214 · May 28
Twilio webhook signature check
voice-agent #209 · May 27
Outbound dialer rate limiting
dialer #88 · May 26
Reduce TTS stream latency
voice-agent #205 · May 25
$182 unclassified spend across 3 projects
Three ways in
Plug in your provider admin key. Total spend, model breakdown, and invoice reconciliation. No engineering needed.
For engineering teams that want per-request granularity. Two lines of code, calls go directly to the provider.
Connect Cursor and GitHub. See what each merged PR cost in AI spend, by engineer and project. No SDK or code changes.
Security
Connect only the providers and repos you want. Disconnect anytime. No lock-in, no surprises.
Async telemetry. Less than 10ms on non-streaming, less than 5ms TTFT impact on streaming. Your users won't notice.
Calls go directly to the provider. We never see, store, or touch your API keys.
Pricing
Based on the AI spend you manage through SuperPenguin.
Free
$0 / mo
For individuals getting started
Growth
$30 / mo
For small teams shipping AI
Pro
Most popular$200 / mo
For teams scaling AI in production
Enterprise
Custom
For organizations with high volume
Spend visibility for finance. Per-request attribution for engineering. Cost per merged PR for eng leaders.
Start tracking for freeNo credit card. No meetings. No vendor lock-in.