Get an accurate cost estimate for running specific AI tasks on different models, accounting for tokenization differences and input/output splits, helping to budget for AI usage.
The agent uses the estimate tool (via MCP or REST) to calculate costs for a given text input and expected output tokens. It passes the text and token counts to the server, which handles the tokenization and multiplication by current prices. The agent reviews the costSplit to understand if costs are driven by input or output and warns that cache/batch discounts are not applied.
- Category: Finance and payments
- Effect: Read-only
- MCP servers: AI Wave MCP (https://koskamo.com/explore/ai-wave-mcp)
- Source: API and MCP | AI Wave (https://aiwave.elopstudio.com/docs)
- Source quote: "Cost estimate Works out what your usage costs on each model. You could do the multiplication yourself from the price table, but counting tokens is the part that does not travel"
- Playbook page: https://koskamo.com/explore/use-cases/estimate-ai-model-usage-costs
Prompt: Estimate the cost of processing a 1000-word document with an expected output of 500 tokens using 'openai/gpt-5.2' and 'anthropic/claude-opus-4.6'. Use the AI Wave MCP server for the calculation.