Overview
AI Costboard in a Nutshell
Who is it for?
Product and engineering teams using multiple AI providers seeking centralized monitoring and cost management.
Problem
Teams struggle to track usage, latency, errors, and costs across multiple AI providers. Spreadsheets and manual dashboards make it hard to gain real time visibility and enforce budgets across heterogeneous APIs.
Solution
AI Costboard acts as a drop in gateway with a single code change that routes all LLM requests through a proxy. It processes usage, tokens, latency, errors, and cost across providers and presents everything in a real time workspace with budgets and alerts.
What makes it unique
It unifies metrics from OpenAI, Anthropic, Gemini, Grok, Llama, Mistral, DeepSeek, and Qwen in one dashboard. It requires only one code change to integrate and offers real time monitoring, automated cost tracking, and alerting across multiple providers in a single view.
Use Cases
Route all LLM calls through proxy
Monitor cross provider latency
Track token usage by provider
Set budgets and get alerts
Compare cost per provider
Correlate errors with providers
Frequently Asked Questions
What is AI Costboard and what does it do?
Who is AI Costboard for?
Does AI Costboard offer a free tier or pricing details?
How does AI Costboard work with my existing setup?
What metrics are tracked by AI Costboard?
Which platforms and providers does AI Costboard support?
How does AI Costboard help with budgets and alerts?
How is data security handled with AI Costboard?
Can I compare provider performance in AI Costboard?
What is required to get started with AI Costboard?
How does AI Costboard differ from typical multi-provider dashboards?
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