Personal licenses, enterprise seats, provider APIs, and model routing in one place. See what every team, agent, and model actually costs, in real time.
Usage and cost across personal and enterprise licenses, every user, client, and model, last 30 days.
Marcus Reed
Codex
Elena Chen
Claude Code, Desktop
Hannah Brooks
Claude Code
Omar Haddad
Claude Code, Cowork
Diego Morales
Claude Code, Cursor
Dollar cost is reported by the AI provider. Token counts are always available, so spend stays comparable across every provider.
The problem
AI spend is scattered across personal subscriptions, enterprise seats, API keys, and model providers, with no single view of where the money goes.
Employees expense personal Claude, ChatGPT, and Cursor plans on top of company seats. Usage across the two never lands in one place.
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.
Autonomous agents loop, retry, and burn tokens with no budget, no alert, and no ceiling until the bill arrives.
Why now
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, 202578%
Of employees use personal licensesMicrosoft Work Trend Index, 202498%
Of FinOps teams now manage AI spend, up from 31% in 2024FinOps Foundation, 2026The solution
Speakeasy sits in the path of every AI call. Meter usage, attribute cost, and enforce budgets across every provider and every team.
Personal licenses, enterprise seats, provider APIs, and your model router report into one ledger. No more reconciling invoices by hand.
Every request is tagged with team, user, agent, and model, so cost maps back to who spent it. Charge back with confidence.
Set limits per team or agent. Get alerted before spend runs over, then cap workloads before a bill becomes a surprise.
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 studyConnect
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.
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.
Connect
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.
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
Every request is logged with the team, user, agent, model, and token count behind it. Slice spend any way finance needs to see it.
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.
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
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.
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.
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
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.
"Speakeasy's AI control plane has been indispensable in enabling Fivetran's AI transformation."
Eli Davis
FIVETRAN
"The MCP server we built using Speakeasy just works. It made becoming AI-native much simpler than we expected."
Constantine Nathanson
STAFF SOFTWARE ENGINEER @ CLOUDINARY
"With Speakeasy I can focus on the core product and know that all the MCP best practices are being taken care of."
Pieter Beulque
POLAR
"Speakeasy was critical in launching our MCP server. Now we're giving agents the ability to feature flag their releases!"
Benjamin Woskow
LAUNCHDARKLY