Related Products
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About
We give engineering, finance, and FinOps teams a single platform to track, attribute, and optimise LLM API spend across every provider. Costs are broken down by dimensions you define, matching how your business already reports its financials.
Engineering teams get frictionless cost tracking without slowing anything down. CTOs get a single pane of glass to enforce model governance and prevent shadow usage. CFOs get finance-grade reporting for forecasting, budgeting, and chargebacks, attributed using their own reporting structure. FinOps teams get real-time, multi-provider cost data that slots straight into the workflows they already run for cloud.
If your organisation uses LLM APIs and the board is asking "what are we spending and why?" we're the answer.
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About
StackSpend is a cloud and AI cost management platform that gives engineering, finance, and FinOps teams one daily view of the modern AI stack. It connects through read-only credentials to providers including AWS, Google Cloud, Azure, Snowflake, Vercel, ClickHouse Cloud, Elastic Cloud, OpenAI, Anthropic, Cursor, GitHub, Hugging Face, Grok, and Twilio, then automatically loads historical billing data and normalizes spend across services. Dashboards and explorers break costs down by provider, service, model, project, user, team, feature, and customer, helping teams understand AI COGS, cost per request, and product-level margins. Budgets and pace-to-forecast show where monthly spending is headed, while same-day anomaly detection catches unusual increases caused by traffic, prompt bugs, model changes, deployments, or individual users. Alerts and daily green, amber, or red spend signals can be delivered through Slack, Microsoft Teams, email, or webhooks.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
CFO, financial analysts, CIO, CTO, who need to justify AI spend and analyse it inline with the corporate financials
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Audience
Engineering, finance, and FinOps teams that need to forecast, budget, monitor, and act on cloud and AI spending across their technology stack
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
£29
Free for first 3 months
Free Version
Supported
Free Trial
Supported
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Pricing
$23 per month
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAI SpendOps
Founded: 2026
United Kingdom
www.aispendops.com
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Company InformationStackSpend
United States
www.stackspend.app/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Cloud Cost Management Features
Cost Reduction Optimization
Supported
Dashboard
Supported
Data Import/Export
Not Supported
Data Storage
Not Supported
Data Visualization
Not Supported
Resource Usage Reporting
Supported
Roles / Permissions
Supported
Spend and Cost Reporting
Supported
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Integrations
Grok
Supported
OpenAI
Supported
Anthropic
Not Supported
Deep Infra
Supported
DeepSeek
Supported
Elastic Cloud
Not Supported
Fireworks AI
Supported
Google AI Studio
Supported
Google Cloud Platform
Not Supported
Jira
Not Supported
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Integrations
Grok
Supported
OpenAI
Supported
Anthropic
Supported
Deep Infra
Not Supported
DeepSeek
Not Supported
Elastic Cloud
Supported
Fireworks AI
Not Supported
Google AI Studio
Not Supported
Google Cloud Platform
Supported
Jira
Supported
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