Estimate, compare, and control LLM API costs proactively to manage token expenditure across agent-based systems.
Sponsored
Token Oracle functions as a Model Context Protocol (MCP) server, designed to provide comprehensive control and estimation of Large Language Model (LLM) API costs before any tokens are consumed. It leverages a proprietary pricing algorithm, independent of any LLM, to ensure deterministic budget workflows. This tool acts as a virtual CFO for agent swarms, offering cost-saving suggestions and optimizing prompting strategies to keep your LLM spending in check.
Key Features
01Find the cheapest model and quality combination within a specified budget
020 GitHub stars
03Estimate USD cost for single or batch LLM API calls
04Compare and rank LLM pricing across various providers
05Check planned tasks against monthly budgets and suggest cheaper alternatives
06Exposes read-only resources for server capabilities, model metadata, and pricing changes
Use Cases
01Pre-calculating costs for multi-step LLM pipelines before execution
02Optimizing model selection for tasks based on cost and quality tiers
03Ensuring LLM usage remains within defined monthly budgets for agent swarms
