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Cost per AI feature: tokens, GPUs and infrastructure in one number

Cost per AI feature: tokens, GPUs and infrastructure in one number

Cost per AI feature: tokens, GPUs and infrastructure in one number

Combine model API spend with the GPU and serving infrastructure behind each AI feature, then divide by usage for a true cost per request.

Runs in

Claude · Slack

First optimization recommendation

The next day

ROI

Pays for itself with the first recommendation you act on

Costory app dashboard 'Claude models usage': waterfall chart of cost change by Claude model over 12 months, a cost distribution donut and a cost details table, in the demo workspace

Playbook

What the agent does

From what Costory notices to what you decide. Costory suggests the next step in conversation, and you decide whether to go ahead.

Costory notices

Monthly, or when a feature's unit cost moves.

Costory investigates

01

Allocate the feature

Model spend plus the infrastructure the feature runs on.

02

Bring usage

Requests or conversations per feature, as custom metrics.

03

Formula

Full cost per 1,000 requests.

04

Price it

Compare with what the feature earns.

Where you see it

Claude

You decide

Product decides on pricing, limits or optimization.

Why it matters

Token cost is only part of an AI feature's cost. Vector databases, GPUs, queues and retries can add a lot on top.

Who it’s for

AI product leads, CTOs

Where it runs

Claude · Slack

What you get

What lands in front of your team

Full cost, not just tokens

Infrastructure included.

A per-request unit

Comparable across features.

Pricing input

Know your AI margins.

Sources and assistants

What it connects

The billing data, context and assistants this playbook uses. Each links to its setup page.

The billing data, context and assistants this playbook uses. Each links to its setup page.

Example prompts

Or drive it yourself

The agent runs this on its own once set up. These prompts open in Claude, pre-filled, to set it up, review it or dig into a result.

The agent runs this on its own once set up. These prompts open in Claude, pre-filled, to set it up, review it or dig into a result.

Compute

What is the full cost per 1,000 conversations of the support bot, including model APIs, the vector database and serving infrastructure?

Compare

Rank our AI features by cost per request and by month-over-month change.

FAQ

Questions about this playbook

Which AI providers can Costory import?

OpenAI, Anthropic (API and claude.ai Enterprise), Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenRouter, Cursor, ElevenLabs, Kling AI and BytePlus.

How long does this playbook take to set up?

Connecting your billing data and the Costory MCP takes under 30 minutes with Terraform or CloudFormation. The playbook itself takes minutes: pick the scope, the trigger and the Slack channel. The first billing data lands the next day, and the agent starts from there.

Can we adjust what the agent does?

Yes. You choose the trigger, the scope (team, service, environment), the channel and the format, and you can pause or change it at any time.

Does Costory change anything in our cloud accounts?

No. Costory reads billing exports and the metrics you connect, and has no write access to your cloud. Actions it takes create Costory objects only: alerts, reports, dashboards and events. Your team stays in control of every change.

Step-by-step guide in the Costory docs

Put this playbook on call

Included in every plan, from €250/month. 30-day free trial: connect in under 30 minutes, get your first optimization recommendation the next day.

First optimization recommendation

The next day

ROI

Pays for itself with the first recommendation you act on

Setup

About 30 minutes

Data residency

EU

Access

Read-only on your cloud