12K+ Agents Tracked

Take control of your LLM spend in real time

One line of code to track, budget, and optimize every token across Anthropic and OpenAI — without slowing down a single call.

$pip install capsera2,500 events/month free

Everything you need to control AI costs

Token TrackingBudgets & AlertsModel RoutingPrompt AnalysisCost ForecastingAnomaly DetectionAgent AnalyticsToken TrackingBudgets & AlertsModel RoutingPrompt AnalysisCost ForecastingAnomaly DetectionAgent Analytics
How it works

From Zero to Full Cost Visibility

Go from flying blind to complete control of your AI spend in minutes — not sprints.

Step 1

Install the SDK

pip install capsera and add one init() call. Your Anthropic and OpenAI calls are tracked automatically — no proxy, no code changes.

Step 2

Tag Your Agents

Attribute every token to an agent, team, or feature with a simple decorator or context manager. See exactly who spends what.

Step 3

Set Your Budgets

Create monthly budgets per agent, per team, or globally. Get alerted at 80% and enforce hard limits at 100% — automatically.

Step 4

Analyze & Optimize

Watch live dashboards, forecast spend, catch anomalies, and act on model downgrade recommendations ranked by savings.

Zero-latency tracking with fail-open reliability

See Integrations
Integrations

Works With Your Entire LLM Stack

Automatic instrumentation for Anthropic and OpenAI — sync and async — plus an intelligent routing engine that picks the right model for every request.

Drop-in Instrumentation

Your provider SDKs are patched automatically at init. Every call, every token, every dollar — captured in the background.

C

Routing Engine

Route requests to cheaper models with cost-cap, task-type, and fallback rules — budget-aware, first match wins.

1

Line of Code

2

Providers Supported

0

Blocking Calls

500ms

Event Flush Time

Fail-Open by Design

If tracking ever breaks, your LLM calls go through untouched. Never in your critical path.

Analytics

Every Token Accounted For

Live dashboards turn raw usage into answers — spend per agent, per team, per model, per day. No more surprise invoices.

0M+

Tokens Tracked Daily

0K+

Agents Monitored

0K+

Events Ingested Daily

0%

Average Cost Reduction

0%

Ingest Uptime

Live Dashboard

Watch tokens, costs, and budget burn update in real time over WebSockets.

View Demo
About us

Meet the Team

Engineers who shipped LLM products, got burned by the invoices, and decided cost visibility should be table stakes.

SR

Syed Raza

MK

Muhammad Kumail

The Story So Far —

Capsera started the night a runaway agent loop burned through a month of API credits before anyone noticed. We built the tool we wished existed: one line of code that shows exactly where every token goes — and stops the bleeding before the invoice arrives.

Built by AI engineers, for AI engineers

We believe cost observability belongs in every AI stack, not just at companies with a platform team. That's why the SDK is open, the free tier is real, and nothing we build ever sits in the critical path of your LLM calls. Track it, budget it, optimize it — then get back to shipping.

Discover the full story — Read More
Client Insights

Teams That Stopped Guessing

How engineering teams took control of their AI spend — and here's exactly how they did it.

We went from finding out about cost spikes on the invoice to catching them the same afternoon. The anomaly alerts alone paid for the year in the first month.
David Pierce

David Pierce

AI Platform Lead at Giggle

One pip install and every Claude and GPT call in our stack was accounted for. Zero refactoring.
Greg Weingartner

Greg Weingartner

CTO at Nexusgate

Per-agent budgets ended our monthly 'who spent what' archaeology. Now it's just a dashboard.
Jorn Lande

Jorn Lande

Engineering Manager at Spitfire

The routing rules quietly moved half our traffic to cheaper models. Nobody noticed except finance.
Linda Watts

Linda Watts

VP of Engineering at Bastillo

Prompt analysis flagged that our biggest agent was resending the same 30K-token context on every call. Enabling caching cut that workload's cost by 45%.
Jaylen Carter

Jaylen Carter

ML Engineer at Nanowise

Fail-open design was the selling point. Tracking has never once been in our critical path.
Angela Jacobs

Angela Jacobs

Staff Engineer at Gessler

The model optimization matrix showed us three agents running on a frontier model for tasks a mid-tier model handles fine. We acted on it the same week and the quality didn't move.
Andre Ellis

Andre Ellis

Head of AI at Avocado

Forecasting told us our budget would run out on the 22nd. It ran out on the 23rd. I trust the projections now.
Rachel Foster

Rachel Foster

Product Engineer at Nexus Digital

As a two-person startup, the free tier gave us real cost visibility from day one. We upgraded when we grew into it.
Sally Taher

Sally Taher

Founder at Loopwise

Pricing

Pricing That Pays for Itself

Start free with real limits you can build on. Upgrade when your token volume does.

Free

$0/month
  • 2,500 events per month
  • Live usage dashboard
  • Core cost analytics
  • Anthropic + OpenAI tracking
  • Community support
Start Free
Most popular

Pro

$29/month
  • Unlimited events
  • Budgets & alerts per agent, team, or org
  • Smart model routing engine
  • Prompt analysis & caching insights
  • Cost forecasting & anomaly detection
  • Priority support
Start Pro

Enterprise

$199/month
  • All Pro features
  • Model cost optimization engine
  • AI optimizer agent
  • Team management & roles
  • Custom integrations
  • Dedicated support
Contact Sales

Unsure which plan fits your token volume?

Ask our Team
FAQ

Burning Questions About Capsera

Simple answers to make things clear.

No. Events go into a non-blocking in-memory queue and a background thread flushes them every 500ms. If the backend is ever unreachable, tracking fails open and your LLM calls proceed untouched.

Anthropic and OpenAI, in both sync and async clients. The SDK patches the provider libraries automatically at init — no proxy, no gateway, and no changes to your existing call sites.

Never. Prompt analysis extracts structural metadata only — token estimates, message counts, cache usage, context window utilization. The text of your prompts and completions stays in your infrastructure.

Budgets can be scoped to a single agent, a team, or your whole organization, with calendar-aware monthly resets. You get an alert at 80% of budget and enforcement plus an exceeded alert at 100%.

Costs are computed from exact per-model pricing tables using decimal arithmetic, based on the real input, output, and cache token counts returned by each API response — not estimates.

Ingestion returns a clear limit response with your current usage and reset date, and the SDK stops sending events until the month rolls over. Your LLM calls are never blocked — only tracking pauses.

Still have questions?

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30% Average Cost Reduction

Ready to Cut Your LLM Bill?

See how much you could save — get a walkthrough tailored to your agents, models, and workloads.

Free tier available — no card required

Budget AlertsModel RoutingPrompt AnalysisCost ForecastingAnomaly DetectionAgent AnalyticsTeam BudgetsCache InsightsBudget AlertsModel RoutingPrompt AnalysisCost ForecastingAnomaly DetectionAgent AnalyticsTeam BudgetsCache Insights