Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • New Relic Reviews & Ratings
    2,923 Ratings
    Company Website
  • Cloudflare Reviews & Ratings
    2,026 Ratings
    Company Website
  • NeuBird Reviews & Ratings
    2 Ratings
    Company Website
  • KrakenD Reviews & Ratings
    71 Ratings
    Company Website
  • StackAI Reviews & Ratings
    53 Ratings
    Company Website
  • Planview ProjectAdvantage Reviews & Ratings
    121 Ratings
    Company Website
  • Retool Reviews & Ratings
    584 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    985 Ratings
    Company Website
  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • ONLYOFFICE Docs Reviews & Ratings
    715 Ratings
    Company Website

What is Spanlens?

Spanlens is an open-source observability tool under the MIT license that allows developers to seamlessly monitor their applications' interactions with various services, including OpenAI, Anthropic, and others. The integration is remarkably straightforward; developers can either modify the client's baseURL to point to the Spanlens proxy with a single line of code or use the command "npx @spanlens/cli init," which activates a wizard for automatic code adjustments. After integration, the platform logs all requests in detail, tracking essential metrics such as model type, token counts, latency, costs, and the entire prompt and response body, while also effectively reconstructing streaming outputs. The platform's dashboard converts this extensive log information into valuable operational insights. With cost tracking capabilities, users can analyze their spending by specific requests, models, and users, along with differentiating prompt-cache tokens to clarify actual savings beyond total costs. Furthermore, agent tracing illustrates multi-step workflows through Gantt waterfalls and node-and-edge graphs, highlighting critical paths to help developers identify the slowest dependencies in complex scenarios. This thorough approach not only improves visibility but also equips users with the tools necessary to refine their model interactions for enhanced efficiency and effective cost management, fostering a more productive development environment overall.

What is LLMeter?

LLMeter is an all-encompassing open-source solution aimed at tracking AI expenses, enabling developers to oversee their costs across multiple providers such as OpenAI, Anthropic, DeepSeek, OpenRouter, Mistral, and Azure OpenAI through a unified interface. By connecting read-only keys from these providers, teams can swiftly obtain in-depth information on actual spending, daily consumption patterns, model-specific data, and areas ripe for cost reductions, all accomplished in about 30 seconds without the necessity for installing SDKs, altering endpoints, or rerouting production traffic through intermediaries. As it allows direct interactions with model providers, LLMeter does not introduce extra latency, avoids being a single point of failure, and ensures that user prompts or completions remain unaccessed and unrecorded. Furthermore, the platform features budget alerts that inform teams before they surpass their daily or monthly budget limits, alongside anomaly detection tools that identify unexpected spikes in usage before they can escalate into larger issues. The user-friendly dashboard presents a comprehensive view of costs related to different providers, models, endpoints, customers, and environments, and its partnership with OpenRouter increases transparency by encompassing over 500 models, thus providing users with a powerful tool for effective AI expenditure management. In the end, LLmeter equips teams with the necessary insights to make educated financial choices concerning their AI operations, fostering a culture of mindful spending while leveraging advanced technologies. This approach not only enhances financial stewardship but also encourages strategic planning in resource allocation for future AI ventures.

Media

No images available

Media

Integrations Supported

Anthropic
Azure OpenAI Service
Claude
DeepSeek
GPT-4o
Microsoft Azure
Mistral AI
OpenAI
OpenRouter
Slack

Integrations Supported

Anthropic
Azure OpenAI Service
Claude
DeepSeek
GPT-4o
Microsoft Azure
Mistral AI
OpenAI
OpenRouter
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$19 per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Spanlens

Date Founded

2026

Company Location

South Korea

Company Website

spanlens.io

Company Facts

Organization Name

LLMeter

Company Location

United States

Company Website

www.llmeter.org

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives