An estimated total cost for a specific AI workload based on input/output token counts and request volume, aiding in budget forecasting.
The agent uses the calculate_cost tool to estimate expenses for a hypothetical workload. It inputs parameters such as input tokens, cached input tokens, output tokens, and the number of requests. The tool returns the calculated cost based on current pricing data, allowing the user to forecast spending.
- Category: Finance and payments
- Effect: Read-only
- MCP servers: AI Pricing Hub MCP (https://koskamo.com/explore/ai-pricing-hub-mcp)
- Source: AI Pricing Hub MCP Server | AI Pricing Hub (https://aipricinghub.com/mcp/)
- Source quote: "calculate_cost Estimate workload cost from input, cached input, output, and request count."
- Playbook page: https://koskamo.com/explore/use-cases/estimate-ai-workload-costs
Prompt: Calculate the estimated cost for a workload with 1000 input tokens, 500 cached input tokens, 200 output tokens, and 1000 requests using the gpt-4o model.