For agencies

Every client uses AI differently.
Your invoice doesn't show it.

LLM Cost Tracker gives agencies per-client cost attribution, multi-project visibility, and the billing data to pass AI costs through with confidence.

Tag by client
Multi Project Breakdown
Track Client Spikes
The problem

AI work is billable.
Proving it is the hard part.

Three things that make it hard to run AI-powered client work profitably.

Problem 01
One bill. No client breakdown.
Your Anthropic invoice is a single number. You have no way to tell how much of it belongs to client A vs client B — so you either absorb the cost, guess at markup, or spend time manually reconciling usage logs.
Problem 02
Scope creep is invisible in AI workflows
A client adds three new document types to a summarization workflow. Token counts grow 40%. Your margin shrinks. Without per-client attribution you won't notice until the project is over and the bill is already paid.
Problem 03
No data to support your AI pricing
When a client asks why their AI line item went up this month, you need an answer. Without per-call data you're guessing. With it, you can show exactly which workflow drove the increase and why.
The solution

Tag by client. See everything.

Two patterns — use either or both depending on how you're structured.

Pattern A · Single project
Use group tags for client names

One project, one API key. Pass the client name as the group on every call. The dashboard breaks out total cost, call volume, and avg cost per call by client automatically.

summarize.ts
await trackedCall(({
  client, params, apiKey,
  group: 'client-acme',
  // or 'client-nike', 'client-ford'
})
Best for: small number of clients, shared codebase
Pattern B · Multi-project
One project per client

Create a separate LLM Cost Tracker project for each client. Each gets its own API key and its own dashboard view. Total isolation — one client can never see another's data, and you can share a dashboard link directly with the client.

client-acme · api key: lct_live_a1b2...
client-nike · api key: lct_live_c3d4...
client-ford · api key: lct_live_e5f6...
Best for: larger client roster, client-facing reporting
Client attribution

Every dollar attributed.
Every client accountable.

The dashboard breaks out total cost, call volume, avg cost per call, and avg latency for every group — which means every client. See your full client roster ranked by spend in one view.

When a client's cost spikes mid-month you'll see it immediately — not when the invoice arrives. Drill into any client to see every individual call, token count, and model used.

See a live demo →
Spend by client · May 202614 days in
ClientMTD spendCallsAvg / call
client-acme↑ high
$1,24018,442$0.067
client-nike
$84324,100$0.035
client-ford
$6129,841$0.062
client-ibm
$2846,200$0.046

client-acme avg cost per call is 91% higher than client-nike — likely driven by longer document inputs. Worth a conversation before month end.

Billing & reporting

Data your clients
will actually believe.

When AI costs are line items on a client invoice, they need to be defensible. Per-call data — model used, token counts, timestamps — is the audit trail that turns "we charged you for AI" into "here's exactly what ran and what it cost."

Full call log per client
Every call with model, tokens, cost, and timestamp. Exportable as CSV for billing or reconciliation.
Monthly totals by group
Aggregate spend per client per month. The number that goes on the invoice, with the data to back it up.
Avg cost per call trends
Spot when a workflow is getting more expensive over time — before it becomes a client conversation.
Call log · client-acme · May 202618,442 calls
TimeModelTokensCost
May 14 · 09:41claude-sonnet-4-614,820$0.089
May 14 · 09:38claude-sonnet-4-618,441$0.111
May 14 · 09:35claude-haiku-4-53,200$0.004
May 14 · 09:31claude-sonnet-4-622,100$0.133
May 14 · 09:28claude-haiku-4-52,840$0.003
Showing 5 of 18,442Export CSV →
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Know what every client actually costs to serve.

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