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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

AWS Cost Explorer offers a user-friendly platform that enables you to visualize, comprehend, and oversee your AWS expenditures and usage over time. You can quickly initiate the process by generating tailored reports that scrutinize your cost and usage information. Whether you want to examine your data from a broad perspective—such as the overall expenses and usage across all accounts—or delve into the specifics to uncover trends, identify cost contributors, and spot irregularities, the tool provides flexible options. It includes a variety of default reports designed to help you swiftly understand your cost determinants and usage patterns. You have the option to set a specific time frame and choose between viewing your data on a monthly or daily basis for greater detail. Furthermore, you can enhance your analysis by utilizing filtering and grouping capabilities across diverse dimensions. Additionally, the forecasting feature allows you to project future costs and usage, enabling more effective planning for your AWS budget. By leveraging these tools, users can ensure that they remain informed and proactive in managing their cloud expenses.

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.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

5X Yes 
AWS App Mesh Yes 
AWS Budgets Yes 
Amazon Web Services (AWS) Yes 
Anthropic No 
Claude No 
Cloudaware Yes 
Gemini No 
Google Sheets No 
Groq No 
Klera Yes 
Meltano Yes 
Microsoft Azure No 
Microsoft Excel No 
NetSuite No 
OpenAI No 
PagerDuty No 
QuickBooks Online No 
Slack No 
TROCCO Yes 

Integrations

5X No 
AWS App Mesh No 
AWS Budgets No 
Amazon Web Services (AWS) No 
Anthropic Yes 
Claude Yes 
Cloudaware No 
Gemini Yes 
Google Sheets Yes 
Groq Yes 
Klera No 
Meltano No 
Microsoft Azure Yes 
Microsoft Excel Yes 
NetSuite Yes 
OpenAI Yes 
PagerDuty Yes 
QuickBooks Online Yes 
Slack Yes 
TROCCO No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$1,500 per month
Free Trial No 
Free Version 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 

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 Yes 
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) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/aws-cost-management/aws-cost-explorer/

Vendor Details

Company Name

FinOps LLM

Country

United States

Website

finopsllm.com

Product Features

Cloud Cost Management

Cost Reduction Optimization No 
Dashboard No 
Data Import/Export No 
Data Storage No 
Data Visualization No 
Resource Usage Reporting No 
Roles / Permissions No 
Spend and Cost Reporting No 

Product Features

Alternatives

Alternatives