SpendLens AILens on AI spend

For teams using OpenAI or Claude

Cut your OpenAI and Claude bill without breaking your app.

Connect your OpenAI or Anthropic account. See which parts of your app cost the most and which could run just as well on a cost-efficient model.

Ever rightsized an EC2 instance? It is the same idea for AI models.

Use only the model power your app needs. Nothing more, nothing less.

2m

Quick setupNo SDK to start

$

Clear cost viewProject, model and API key

Safer decisionsCheck savings before switching

Your savings opportunity

See what is worth rightsizing.

Illustrative

Monthly AI spend

$18,420

Across OpenAI and Anthropic

Potential monthly savings

$6,240

After a model change is validated

Cost driver

Customer Support

GPT-4o · OpenAI

52%

of model-attributed usage

Suggested next step

Test a right-sized model for this workload.

Compare cost and quality before switching. Keep the current model if it performs better.

Connect in under two minutesSpend → savings → action

What SpendLens AI does

It turns your AI bill into a clear next action.

Your provider tells you the total. SpendLens AI helps you understand the cause and decide what to investigate.

1

See where the money goes

Break down OpenAI and Anthropic spend by project, workspace, model and API key.

2

Find the cost driver

See which part of your AI stack deserves attention first, instead of investigating everything.

3

Rightsize the model

Validate whether a cost-efficient model can handle the same workload before you switch.

Start simple. Go deeper only when needed.

Two levels of visibility, one path to lower AI cost.

Start here

Account Connect

Find where your provider bill is going.

Connect OpenAI automatically or import an Anthropic Console CSV to see spend, usage, projects, models and API keys. No code change is required.

See Account Connect
Then validate

Runtime Telemetry

Find what can safely change inside a workload.

Add one lightweight instrumentation step to see workload cost, prompt waste and cost-efficient model recommendations backed by real usage.

See how it works

Early-stage startup result

Close to 75%

projected AI cost reduction

One workflow was driving a $4K to $5K monthly AI bill.

SpendLens AI identified a more cost-efficient model to test while preserving the quality checks that mattered to the team.

Customer-reported early result. Savings are estimates and are not guaranteed.

Built for engineering reality

Optimize cost without moving your AI traffic.

Your application continues calling OpenAI and Anthropic directly. SpendLens AI does not become your proxy, gateway or model provider.

No added request latency. No gateway lock-in. No application rewrite.

Review data privacy

Find the first AI cost worth fixing.

Connect OpenAI or import Anthropic data and turn provider spend into an action your team can take.