AI Cost Visibility

See who is really driving your AI spend

Go past the provider invoice to the models, callers and teams behind LLM cost. Connect OpenAI, Claude, Bedrock, Gemini, Azure AI Foundry, LiteLLM and Cursor read-only and track cost, tokens, invocations and savings in one view.
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AI cost visibility dashboard in OneLens: $43,200 monthly AI spend by caller, with an Oct 14 Claude Opus spike traced to its owner
Engineering and FinOps teams at these companies trust OneLens.
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Trace AI spend past the provider bill to the team behind it

AI spend can grow across several providers at once. Each bill shows the model and the total, not the service, key or team that drove it. OneLens LLM cost tracking connects that spend to the callers and owners behind it.
LLM cost tracking: Anthropic, OpenAI and AWS bills merged into one OneLens view of $31,620 split by caller key, team and daily growthLLM cost tracking: Anthropic, OpenAI and AWS bills merged into one OneLens view of $31,620 split by caller key, team and daily growth

Understand AI spend at the level of every caller

Three access layers: read-only billing, API keys by caller and an optional OneLens agent, for AI cost visibility without promptsOpenAI, Anthropic, AWS, Gemini, Azure, LiteLLM and Cursor feed one AI token spend bar split into input, output, cached and reasoning
LLM cost dashboard widgets showing spend, token trends and a $31.6k total, with PDF, CSV and XLSX export buttonsLLM cost attribution map: API keys linked to owning teams such as Support and ML research, rolling up to business units
FinOps for cloud and AI: support-chatbot full cost split into LLM tokens $32,400, GPU $9,400, Kubernetes $6,800 and storage $3,650

Answer every question about AI spend with the owner already attached

Daily AI spend bar chart with one spike labeled Opus 5.5 and the sk-support-prod key that drove it

Explain a jump in spend

The daily trend shows the day AI spend moved and the model behind it; grouping by caller shows the key that drove it.
LLM cost monitoring chart: a key's spend drifts above its normal range and an Owner alerted badge appears

Catch a runaway key early

LLM cost monitoring learns each key's normal spend and alerts the owner in Slack, Teams, email or ServiceNow on drift.
Request heat map with a dark cluster of activity and a Likely cause: retry loop label

Find the cause of a request spike

OneLens states the likely cause in plain words and shows a heat map of when it happened.
FinOps for AI total of $31,620 across every provider, split into bars with avatars for the teams behind most of it

Report one AI number to finance

FinOps for AI gives the CFO one total across every provider, with the teams behind most of it.
AI spend by provider for renewal talks: Anthropic $18.9k, OpenAI $8.1k and AWS $4.6k

Prepare for a vendor renewal

Procurement brings AI spend by provider and model to the negotiation.
LLM cost per query for an AI feature: $0.012 model cost plus $0.004 infrastructure equals $0.016 per request

Price an AI feature

Product sees the model cost and infrastructure cost of an AI feature in one place before setting a price.

Once every key has an owner, you can put a limit on it

Budgets, guardrails and approvals use the same ownership you set up in OneLens, so the next step from AI cost visibility is AI spend control.
See how AI Cost Governance works
→
Monthly budget card for the sk-support-prod key owned by Support platform, at $14.9k of $18k, with budget, guardrail and approval tags

See your own AI spend by model, caller and team

Connect one provider with read-only billing access and decide every further layer of access yourself.
Connect one provider read-only

Frequently asked questions

What is AI cost visibility?

AI cost visibility is seeing LLM spend by provider, model, caller and team. OneLens connects OpenAI, Claude, Bedrock, Gemini, Azure AI Foundry, LiteLLM and Cursor read-only for cost, tokens, invocations and savings in one view.

How do I track LLM cost per feature and per customer in our SaaS product?

OneLens groups AI spend by caller, so the keys behind each feature roll up to its model cost, shown beside the cloud and Kubernetes cost of the same product. For cost per customer and the margin on each AI feature, see AI Cost ROI.

How do I track OpenAI and Anthropic spend by team?

Add API keys to see LLM usage by caller, then use mapping rules to tie each key to a team by name, tag or project. OneLens rolls that cost up to business units for showback and chargeback.

Our AI bill jumped. How do we find out which team caused it?

The daily trend shows the day spend moved and the model behind it, and grouping by caller shows which key drove it. Every key has an owner, so the team behind the jump is already attached.

Does an AI cost visibility tool need access to prompts or model responses?

No. OneLens starts with read-only billing access, adds API keys for usage by caller, and adds its agent only where you want control. It reads billing and usage data only and never collects prompts or model responses.

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