Stop tracking AI spendby invoice

Personal licenses, enterprise seats, provider APIs, and model routing in one place. See what every team, agent, and model actually costs, in real time.

Acme Corp/Costs

AI Agent Costs

Preview

Usage and cost across personal and enterprise licenses, every user, client, and model, last 30 days.

Total Tokens
885.3Macross 4.1K sessions
Total Cost
$11,774.66
67% of $17,500 budget
Active Users
22of 42 org members
AI Clients
6Claude Code, Codex, Cursor…

Cost by agent

Claude Code
$5,00083% of $6,000
Codex
$2,400120% of $2,000
Cowork
$2,000111% of $1,800
ChatGPT
$1,60080% of $2,000
Cursor
$1,50060% of $2,500
Claude
$90045% of $2,000

Tokens by model

claude-opus-4-8[1m]210.0M
gpt-5.5180.0M
google/gemini-3.1-flash160.0M
claude-sonnet-4-6140.0M
codex120.0M
claude-haiku-4-575.3M
EmployeeTotal TokensSessionsShare
Marcus Reed

Marcus Reed

Personal

Codex

383.9M501
43%
Elena Chen

Elena Chen

Enterprise

Claude Code, Desktop

341.7M1,031
39%
Hannah Brooks

Hannah Brooks

Enterprise

Claude Code

43.7M193
5%
Omar Haddad

Omar Haddad

Mixed

Claude Code, Cowork

23.1M240
3%
Diego Morales

Diego Morales

Personal

Claude Code, Cursor

8.0M200
1%

Dollar cost is reported by the AI provider. Token counts are always available, so spend stays comparable across every provider.

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The problem

You can't control what you can't measure

AI spend is scattered across personal subscriptions, enterprise seats, API keys, and model providers, with no single view of where the money goes.

Personal licenses

Employees expense personal Claude, ChatGPT, and Cursor plans on top of company seats. Usage across the two never lands in one place.

No cost attribution

Tokens get billed to a single org-wide key. There's no way to tie spend back to the team, product, or agent that drove it.

Runaway agents

Autonomous agents loop, retry, and burn tokens with no budget, no alert, and no ceiling until the bill arrives.

Why now

AI is the new cloud bill

Cloud spend taught finance to demand visibility and controls. AI is climbing the same curve, only faster, and most teams cannot see spend that is split across personal and company licenses.

$644B

AI spending in 2025Gartner, 2025

78%

Of employees use personal licensesMicrosoft Work Trend Index, 2024

98%

Of FinOps teams now manage AI spend, up from 31% in 2024FinOps Foundation, 2026

The solution

One control plane for all AI spend

Speakeasy sits in the path of every AI call. Meter usage, attribute cost, and enforce budgets across every provider and every team.

Connect your agents

Personal licenses, enterprise seats, provider APIs, and your model router report into one ledger. No more reconciling invoices by hand.

Attribute your usage

Every request is tagged with team, user, agent, and model, so cost maps back to who spent it. Charge back with confidence.

capbudget

Control your budget

Set limits per team or agent. Get alerted before spend runs over, then cap workloads before a bill becomes a surprise.

Fivetran routes AI usage across engineering through one control plane, giving every team a single view of what their agents cost to run.

With the Speakeasy AI control plane in the path of every call, Fivetran captures cost across Claude, Cursor, and internal AI tooling, attributed back to the team that drove it.

Read the case study

Connect

Bring every AI source into one view

Whether spend comes from a personal subscription, an enterprise seat, a provider API key, or your model router, Speakeasy captures it in one place. No more reconciling invoices by hand.

Personal licenses
Provider APIs
Model router
Connected AI sources5 sources · 1 ledger
ChatGPT Enterprise240 seats
License$9,600
Claude (Anthropic)API key
API$14,280
GitHub Copilot180 seats
License$3,240
OpenAI APIAPI key
API$7,150
Model routerAll providers
Router$5,910
This month$40,180

License tracking

Track usage across company-issued seats and the personal Claude, ChatGPT, and Cursor plans employees expense, side by side in one dashboard.

API metering

Every call through a provider API is metered at the token level, across Anthropic, OpenAI, and others.

Model router integration

Route requests through Speakeasy and capture cost on every hop, including fallbacks and retries.

Unified ledger

All sources roll up into one normalized record of spend, ready to export or analyze.

Observe

See exactly where the tokens go

Every request is logged with the team, user, agent, model, and token count behind it. Slice spend any way finance needs to see it.

TimeTeam / AgentModelTokensCost

Real-time usage feed

Watch spend accrue live, per team, per agent, and per model, the moment a call is made.

Cost attribution

Tag every call to a team, product, or cost center. Charge spend back with confidence.

Model breakdown

Compare cost across models and providers to see what each workload actually costs to run.

Trend reporting

Track spend over time and export reports for finance reviews and forecasts.

Control

Set budgets before the bill arrives

Define limits per team, agent, or model. Speakeasy enforces them in real time and alerts you long before a runaway workload becomes a runaway invoice.

Monthly budgetsEnforced in real time
PlatformWithin budget
$6,800 / $10,000
SupportApproaching limit
$4,150 / $5,000
DataCapped
$9,100 / $9,000
GrowthWithin budget
$1,900 / $6,000

Budget limits

Set hard or soft caps per team, agent, or key. Block or throttle calls that exceed them.

Spend alerts

Trigger alerts when usage crosses a threshold, so surprises hit a Slack channel instead of an invoice.

Runaway protection

Detect loops and abnormal token bursts, then cap the agent before it drains the budget.

Rate and quotas

Enforce per-team quotas and rate limits to keep spend predictable across the organization.

Platform

Built to govern AI spend at scale

Speakeasy sits in the path of every AI call, so cost control comes with the same controls security and platform teams already rely on.

One unified ledger

Normalize spend across Anthropic, OpenAI, and licensed tools into a single source of truth.

Chargeback and showback

Attribute cost to teams, products, and cost centers for internal billing and accountability.

Export anywhere

Push usage and cost records into BI tools, data warehouses, and finance systems in standard formats.

Enterprise controls

SOC 2 Type II and ISO 27001, SSO, role-based access, and self-hosted deployment options.

Trusted by teams running
AI at scale

Fivetran logo

"Speakeasy's AI control plane has been indispensable in enabling Fivetran's AI transformation."

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Eli Davis

FIVETRAN

Cloudinary logo

"The MCP server we built using Speakeasy just works. It made becoming AI-native much simpler than we expected."

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Constantine Nathanson

STAFF SOFTWARE ENGINEER @ CLOUDINARY

Polar logo

"With Speakeasy I can focus on the core product and know that all the MCP best practices are being taken care of."

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Pieter Beulque

POLAR

LaunchDarkly logo

"Speakeasy was critical in launching our MCP server. Now we're giving agents the ability to feature flag their releases!"

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Benjamin Woskow

LAUNCHDARKLY

Frequently askedquestions

Get control of your AI spend