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About

AI Cost Board is an AI API observability and cost control platform that brings costs, requests, tokens, latency, errors, and usage from multiple model providers into one real-time dashboard. Applications route LLM traffic through a single proxy endpoint, while requests are forwarded to the connected provider and logged with model, token, status, timing, costs, input, output, and raw JSON context. In most cases, teams only replace the provider base URL and use an AI Cost Board project key, keeping the original request structure intact. It supports providers including OpenAI, Anthropic, and Google Gemini, with a consistent setup that standardizes usage data across integrations. Cost analytics break spending down by project, provider, model, and timeframe, showing trends, cost per request, success rates, and operational performance. Searchable request logs help developers inspect payloads, troubleshoot failures, compare models, and investigate slow or expensive calls.

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.

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

Developers and AI teams seeking to monitor tokens, costs, latency, errors, and usage across multiple LLM providers from one platform

Audience

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

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

$9.99 per month
Free Version
Free Trial

Pricing

$23 per month
Free Version
Free Trial

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

Reviews/Ratings

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

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

AI Cost Board
United States
aicostboard.com

Company Information

StackSpend
United States
www.stackspend.app/

Alternatives

Alternatives

Categories

Categories

Integrations

Anthropic
Grok
OpenAI
Amazon Web Services (AWS)
Claude
ClickHouse
Cursor
Databricks
Elastic Cloud
Gemini
GitHub
Google Cloud Platform
Hugging Face
Jira
Linear
Microsoft Azure
Microsoft Teams
Mistral AI
Slack
Vercel

Integrations

Anthropic
Grok
OpenAI
Amazon Web Services (AWS)
Claude
ClickHouse
Cursor
Databricks
Elastic Cloud
Gemini
GitHub
Google Cloud Platform
Hugging Face
Jira
Linear
Microsoft Azure
Microsoft Teams
Mistral AI
Slack
Vercel
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