Read-only AI/LLM cost tools with current MCP discovery and attributable Registry transport.
Listed on
First seen 6 Oct 2026. One server, whatever directories list it: each directory listing keeps its own page and history.
1
Directories
Collected by InvokeRank
12
Tools
From an anonymous probe
-
ToolBench grade
Not graded by Arcade
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GitHub stars
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Tools
| Tool | Description | Behaviour |
|---|---|---|
| agent-loop-cost-calculator | Use when a user is running multi-step LLM agents and needs cost per successful task. Accounts for failure overhead and context growth across turns. | Not declared |
| agent-workflow-cost-calculator | Use when a user needs to estimate automation-platform cost for an agent workflow, including app-action fan-out and MCP tool-call accounting, separate from LLM token spend. | Not declared |
| automation-cost-calculator | Use when a user needs to compare workflow automation platform cost across Zapier task billing, Make credit billing, and n8n execution billing for a recurring workflow shape. | Not declared |
| context-window-planner | Use when a user needs to know whether a document plus prompt plus output fits within a model's context window, or wants a strategy recommendation (truncate/summarize/rag/chunk). | Not declared |
| eval-cost-calculator | Use when a user needs to budget an LLM evaluation run. Given samples/models/trials, returns total cost, per-run cost, and parallel time estimate. | Not declared |
| fine-tune-roi-calculator | Use when a user is considering fine-tuning vs prompt engineering. Returns training cost, monthly inference savings, months-to-ROI, and breakeven volume. | Not declared |
| observability-cost-calculator | Use when a user needs to budget LLM observability tooling. Returns monthly cost at given request volume with retention adjustment. | Not declared |
| provider-cost-calculator | Use when a user asks what an LLM workload costs on a specific provider/model, or wants to compare cost across providers. Given tokens per call and call volume, returns monthly cost plus a tier comparison table. | Not declared |
| quantization-calculator | Use when a user is planning to quantize an LLM to fit on smaller hardware. Given parameter count and precision transition, returns VRAM requirement, speedup estimate, and approximate quality delta. | Not declared |
| rag-pipeline-cost-calculator | Use when a user needs end-to-end RAG cost estimation (embedding + vector store + generation). Returns monthly cost with breakdown and dominant-component identification. | Not declared |
| self-host-breakeven-calculator | Use when a user is deciding between API usage and self-hosted GPU inference at a given volume. Returns breakeven token volume, monthly cost comparison, and go/no-go recommendation. | Not declared |
| token-counter | Use when a user asks how many tokens a given text will consume, or needs to estimate prompt size before pricing a workload. Given text and tokenizer family, returns low/high token range and byte-level measurements. | Not declared |
| Directory | Listing | Tier | First seen |
|---|---|---|---|
| Official MCP Registry | Model Ruler — AI Cost Calculators | - | 6 Oct 2026 |