bots.st/model-ruler-ai-cost-calculators
Model Ruler — AI Cost Calculators
Estimate LLM workflow and inference costs
2742 ms
answered our call
- State
- Answered
- Protocol
- MCP 2024-11-05
- Tools listed
- 12
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://modelruler.dev/mcp?dist=model_everywhere_registry_native_official_registry
What it can do
| Tool | What it says it does |
|---|---|
agent-loop-cost-calculator | Use for LLM inference/reasoning cost per successful multi-step agent task, including failure overhead and context growth across turns. Use agent-workflow-cost-calculator for iPaaS/app-action/MCP orchestration fees. Use automation-cost-calculator for generic Zapier/Make/n8n workflow billing. |
agent-workflow-cost-calculator | Use for automation-platform/iPaaS cost of an AI agent workflow, including app-action fan-out and MCP tool-call accounting, explicitly excluding LLM token spend. Use automation-cost-calculator for generic non-agent workflow billing. Use agent-loop-cost-calculator for LLM inference/reasoning cost… |
automation-cost-calculator | Use for generic or non-agent recurring workflow platform billing across Zapier task billing, Make credit billing, and n8n execution billing. Use agent-workflow-cost-calculator instead when the workflow is explicitly an AI agent with app actions or MCP tool calls. Use agent-loop-cost-calculator… |
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). |
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. |
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. |
observability-cost-calculator | Use when a user needs to budget LLM observability tooling. Returns monthly cost at given request volume with retention adjustment. |
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. |
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. |
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. |
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. |
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. |
In its maker's words
Read-only AI/LLM cost tools with current MCP discovery and attributable Registry transport.
- Website
- modelruler.dev/install/?source=official_registry
- Publisher
- helphub369 (3 listings in the registry)
- Listed from
- the official MCP Registry as
io.github.helphub369/model-ruler - Version
- 1.0.4, updated 7 Oct 2026
- Kinds of work
- Finance and markets, AI models and agent tools, Data and databases
The domain it lives on
- modelruler.dev
- registered 1 Jun 2026 (5 months ago), at CloudFlare, Inc., its home page is a working site
From our own crawl of domain names: registry records and the home page as our crawler last saw it.
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 2742 ms | |
| Answered | 2524 ms | |
| Answered | 1196 ms |
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