Model Ruler — AI Cost Calculators
io.github.helphub369/model-ruler · v1.0.0 · MCP 2024-11-05
Deterministic AI/LLM cost calculators for tokens, providers, RAG, agents, evals, and automation.
Reachability
reachable
checked 2026-10-06 05:30 UTC
Registry status active
Tools pinned 12
97aed904179c
Tools last changed
unchanged since first capture 2026-10-06
Provenance
Registry namespace io.github.helphub369
(GitHub-account verified by the official registry)
Website
https://modelruler.dev
Remote endpoints
https://modelruler.dev/mcp (streamable-http)
Observed changes
| When (UTC) | Event | Detail |
|---|---|---|
| 2026-10-06 05:30 | first capture | 12 tools pinned |
Pinned tool definitions (12)
| Tool | Description |
|---|---|
| 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. |
| 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. |
| 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. |
| 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). |
| 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. |
| 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. |
| 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. |
| observability-cost-calculator | Use when a user needs to budget LLM observability tooling. Returns monthly cost at given request volume with retention adjustment. |
| 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. |
| 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. |
| 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. |
| 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. |
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