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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.

About

ZenLLM is an AI cost optimization platform for engineering teams running LLM applications in production. It connects provider invoices to the application behavior behind them, showing which prompts, workflows, models, customers, retries, and request paths are driving spend. Teams send request-level telemetry through the ZenLLM SDK and can attach business context such as workflow, owner, customer, team, or product feature without storing prompt or response content. It monitors token usage, model selection, latency, errors, retries, and cost, then surfaces the waste patterns hidden by aggregate provider dashboards. It detects context accumulation when conversations or agents resend growing histories, premium-model overuse on low-risk work, retry loops that repeat expensive context, stale system prompts, routing mistakes, anomalies, and weak cost ownership.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Engineering, finance, and FinOps teams that need to forecast, budget, monitor, and act on cloud and AI spending across their technology stack

Audience

AI application teams that need to identify waste from prompts, retries, model routing, and workflows to reduce token spending

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$23 per month
Free Version
Free Trial

Pricing

$49 per month
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Super simple to use, aggregates across 9 of our cloud providers and helps us track $40k of monthly spend. Its paid for its self 50x over by helping us catch spend anomalies caused by engineering mistakes. I'd highly recommend for anyone running a SaaS engineering team.

Cons

  • Would like more features around forecasting to help with our cloud budgeting

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

StackSpend
United States
www.stackspend.app/

Company Information

ZenLLM
United States
www.zenllm.io

Alternatives

Alternatives

Categories

Categories

Integrations

Anthropic
Grok
OpenAI
Amazon Web Services (AWS)
Claude
Databricks
Elastic Cloud
GitHub
Google Cloud Platform
Google Sheets
Hugging Face
Jira
Linear
Microsoft Azure
Microsoft Excel
Mistral AI
Perplexity
Slack
Twilio
Vercel

Integrations

Anthropic
Grok
OpenAI
Amazon Web Services (AWS)
Claude
Databricks
Elastic Cloud
GitHub
Google Cloud Platform
Google Sheets
Hugging Face
Jira
Linear
Microsoft Azure
Microsoft Excel
Mistral AI
Perplexity
Slack
Twilio
Vercel
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