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Description

FinOps LLM serves as an advanced platform for AI cost management and observability, specifically designed for engineering teams utilizing production GenAI. It enables transparency in token expenditures across a variety of providers such as OpenAI, Anthropic, Amazon Bedrock, Google Gemini, Azure, and Groq, while also aligning internal usage data with invoices from these providers. Users can filter token-level expenses based on provider, model, feature, team, customer, environment, and other custom metrics, ensuring that each dollar spent has a designated owner. Additionally, the platform includes attribution and chargeback functionalities that correlate usage with product interfaces and customer demographics, facilitating showback processes and allowing for data exports to systems like NetSuite, QuickBooks, CSV, or through APIs. Furthermore, real-time anomaly detection features track spending, latency, and quality, comparing them against dynamic feature baselines, and issue alerts via Slack, PagerDuty, email, or webhooks whenever notable changes occur. To further enhance cost control, optional budget enforcement and auto-throttling measures can prevent excessive spending due to runaway agents, excessive retries, or unexpected model shifts. This comprehensive approach ensures that engineering teams can manage their AI resources effectively while maintaining financial oversight.

Description

StackSpend is an advanced cost management platform leveraging cloud and AI technologies, designed to offer engineering, finance, and FinOps teams a consolidated daily overview of their contemporary AI infrastructure. By establishing read-only connections to a variety of providers such as AWS, Google Cloud, Azure, Snowflake, and others, it seamlessly imports historical billing information and standardizes expenditure across different services. The platform features comprehensive dashboards and exploration tools that dissect costs by various dimensions, including provider, service, model, project, user, team, feature, and customer, thereby aiding teams in analyzing AI COGS, cost per request, and profit margins at the product level. Additionally, it provides insights into budgets and projected spending trends, while its same-day anomaly detection feature identifies unexpected cost spikes triggered by factors such as traffic surges, prompt errors, model adjustments, deployment activities, or specific user actions. Notifications and daily indicators, categorized as green, amber, or red based on spending levels, can be dispatched through communication platforms like Slack, Microsoft Teams, email, or webhooks, ensuring teams remain informed about their spending patterns. Ultimately, StackSpend empowers organizations to maintain a firm grip on their AI expenditures, fostering enhanced financial accountability and strategic decision-making.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Anthropic Yes 
Microsoft Azure Yes 
OpenAI Yes 
Slack Yes 
Amazon Bedrock Yes 
Amazon Web Services (AWS) No 
Claude Yes 
Cursor No 
Elastic Cloud No 
Gemini Yes 
GitHub No 
Google Sheets Yes 
Grok No 
Hugging Face No 
Microsoft Excel Yes 
Microsoft Teams No 
NetSuite Yes 
QuickBooks Online Yes 
Snowflake No 
Vercel No 

Integrations

Anthropic Yes 
Microsoft Azure Yes 
OpenAI Yes 
Slack Yes 
Amazon Bedrock No 
Amazon Web Services (AWS) Yes 
Claude No 
Cursor Yes 
Elastic Cloud Yes 
Gemini No 
GitHub Yes 
Google Sheets No 
Grok Yes 
Hugging Face Yes 
Microsoft Excel No 
Microsoft Teams Yes 
NetSuite No 
QuickBooks Online No 
Snowflake Yes 
Vercel Yes 

Pricing Details

$1,500 per month
Free Trial No 
Free Version No 

Pricing Details

$23 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

FinOps LLM

Country

United States

Website

finopsllm.com

Vendor Details

Company Name

StackSpend

Country

United States

Website

www.stackspend.app/

Product Features

Product Features

Alternatives

Alternatives