Your AI bill doesn't have to be a surprise.
Get real-time visibility into which customers, agents, and workflows are profitable — so your AI bill is never a surprise again.
Real-time detection. Zero config.
Two lines at startup. Apeiros watches every call — context growth, retry loops, cost spikes — and flags problems as they happen.
AI bills are surprising because visibility comes too late.
Costs with no attribution
Your AI invoice is a single number. It doesn't tell you which customer, agent, or workflow caused it — or which ones are worth the spend.
Waste that compounds invisibly
Retry loops, context bloat, and tool amplification burn through budgets silently. By the time you notice, the damage is done.
Visibility that comes too late
Finance tools explain what happened after the invoice arrives. Nothing tells you what's happening mid-month, in real time, per customer.
5 reasons costs spike without warning
Visibility and control, in real time.
Apeiros sits at inference time, not after it. You see which customers, agents, and workflows are profitable — and enforce budget limits before the damage is done.
Attribution at the source
Tag any task with a customer, agent, or workflow ID. Apeiros tracks token costs at inference time so you know exactly what's driving your bill.
Real-time anomaly detection
Retry loops, context bloat, and tool amplification are flagged as they happen — not after the invoice arrives.
Zero infrastructure
An SDK that wraps your existing model calls. No database, no storage, no pipeline changes. Works in a single session.
From zero to margin visibility in minutes.
import apeiros
apeiros.instrument()
apeiros.start_session(budget=5.00)agent = ApeirosAgent(
customer_id="acme-corp",
model="claude-sonnet-4-6"
)
agent.start_task("summarize-report")
agent.update_tokens(8_500)
agent.end_task()ApeirosAgent.customer_report(plan_price=299.0)
Customer Cost Margin
acme-corp $ 3.17 98.9% ✓ healthy
nova-co $997.92 -233% ✗ underwaterBuilt for teams shipping AI agents today
- ✓You're running LLM-powered agents in production or near-production
- ✓You've seen an unexpected token cost spike you couldn't explain
- ✓You want visibility and control before the next bill arrives
“Apeiros ensures every token spent is intentional, not accidental.”