A
licenseA
qualityB
maintenanceLLM API prices, cost estimates, model comparisons and language token tax for GPT, Claude and Gemini.
7
MIT
FiscaLLM
Server Details
LLM prices, cost estimates and break-even, plus your app's AI cost and margin per user.
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- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- magna56/fiscallm
- GitHub Stars
- 1
- ChatGPT
- –
- Claude
- –
TDQS
A3.7/5.0
Scored across 10 tools
Disambiguation4/5
Most tools target clearly distinct scopes: app-level cost breakdown, plan margins, user margins, price lookup, cost estimation, and break-even analysis. There is some potential confusion between compare_llm_costs vs estimate_llm_cost and between get_llm_price vs list_llm_prices, but the descriptions clarify single-model estimation vs multi-model comparison and single-price vs list-price lookup.
Naming Consistency4/5
Eight of ten tools follow a predictable snake_case verb_noun pattern (compare_llm_costs, estimate_llm_cost, get_cost_breakdown, list_llm_prices, etc.). The exceptions are subscription_break_even and fiscallm_setup_guide, which are noun-phrase names but still readable and domain-specific.
Tool Count5/5
Ten tools is well-scoped for an LLM cost and margin analytics server. Each tool covers a distinct analytical need, with no obvious bloat or missing major operation.
Completeness5/5
The surface covers pricing, cost estimation and comparison, app/plan/user margin analysis, subscription break-even, and setup guidance. For a read-only cost and margin analytics domain, this provides complete lifecycle coverage without obvious dead ends.
Available Tools
10 toolscompare_llm_costsCompare the cost of the same workload on several modelsARead-onlyIdempotentInspect
USD cost of the same call (same token counts) on each of several models, cheapest first. Use it to pick a model or to price a switch.
Inputs: models (required), inputTokens (required), outputTokens (required), calls, +1 more.
estimate_llm_costEstimate the cost of LLM callsBRead-onlyIdempotentInspect
USD cost of a call to a model from its token counts, at list price, and the total for a number of such calls.
Inputs: model (required), inputTokens (required), outputTokens (required), calls, +2 more.
fiscallm_setup_guideHow to set up FiscaLLMARead-onlyIdempotentInspect
What FiscaLLM is and the ways to send it AI usage (OpenTelemetry, LiteLLM, SDK, HTTP), connect revenue, and read margins back.
Inputs: no named parameters.
get_cost_breakdownAI cost by model and by featureBRead-onlyIdempotentInspect
The app's AI cost over a period split by model and by feature. Needs the app's key.
Inputs: days.
get_llm_priceGet one model's priceARead-onlyIdempotentInspect
Current list price of one model by id, e.g. "gpt-4o-mini" or "claude-sonnet-4-5". Includes the long-context rate and any announced change.
Inputs: model (required).
get_margin_overviewAI cost, revenue and margin of the appARead-onlyIdempotentInspect
The app's AI cost, revenue, margin, share of revenue spent on AI, request count and daily series over a period. Needs the app's key.
Inputs: days.
get_plan_marginsMargin per subscription planBRead-onlyIdempotentInspect
AI cost, revenue and margin of each plan or product over a period. Needs the app's key.
Inputs: days.
list_llm_pricesList LLM API pricesARead-onlyIdempotentInspect
Current list prices (USD per 1M tokens: input, cached input, output) for OpenAI, Anthropic and Google models, with announced price changes. Use it to find a model id or to compare prices.
Inputs: search, provider.
list_users_by_marginUsers by margin, worst firstARead-onlyIdempotentInspect
Each user's AI cost, revenue and margin over a period, the users losing the most money first. Needs the app's key.
Inputs: days, limit, losingOnly.
subscription_break_evenBreak-even usage for a subscription priceBRead-onlyIdempotentInspect
How many AI messages a month a subscriber can send before the model cost uses up what the plan earns, after the store or payment fee. Answers: does this plan price cover this model?
Inputs: model (required), monthlyPriceUsd (required), feePercent, inputTokens, +3 more.
Tool Schema Changelog
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