Llm Oracle
БесплатноНе проверенProvides real-time LLM pricing and availability data as an MCP server, enabling AI agents to make optimal model routing decisions at inference time with cited p
Описание
Provides real-time LLM pricing and availability data as an MCP server, enabling AI agents to make optimal model routing decisions at inference time with cited pricing sources.
README
Continuously-updated catalog + query API for LLM provider availability and pricing.
Built by weiseer.
What it does
Given a question like "for this prompt of N input tokens plus M expected output tokens, which currently-available model offers the lowest cost?" the oracle answers in milliseconds, with the source URL it used for the pricing claim.
Use it as:
- an MCP server for AI agents that need to make routing decisions at inference time
- an HTTP JSON API for any tool that wants up-to-date LLM pricing/availability
- a raw
catalog.jsonyou can audit, vendor, or contribute fixes to
Why
LLM pricing changes monthly. Every multi-model app rebuilds the same lookup table. We maintain it so you don't.
- Cited: every pricing row links to the provider's official documentation
- Versioned:
as_oftimestamp on every response so you know how fresh the data is - Open: catalog is public JSON, MIT licensed; client/server code is Apache-2.0
- Cross-checked: source data verified against the open-source LiteLLM price file where overlap exists
Coverage (v0)
5 providers, ~10 models. Growing as we observe demand.
- Anthropic: Claude Opus 4.7, Sonnet 4.6, Haiku 4.5
- OpenAI: GPT-5, GPT-4o
- Google: Gemini 2.5 Pro, Gemini 2.5 Flash
- DeepSeek: Reasoner, Chat
- Mistral: Large
Quickstart
As an MCP server (Claude Desktop, Cursor, Continue, Cline, etc.)
git clone https://github.com/weiseer/llm-oracle
cd llm-oracle
Add to your MCP client config:
{
"mcpServers": {
"llm-oracle": {
"command": "python",
"args": ["/absolute/path/to/llm-oracle/mcp_server.py"]
}
}
}
The agent now has tools:
list_models(provider?, capability?)→ list models, optionally filteredget_model(model_id)→ full record for one modelfind_cheapest(input_tokens, output_tokens, required_capabilities?)→ ranked by estimated costcompare_models(model_ids[], input_tokens?, output_tokens?)→ side-by-sidecheck_availability(model_id)→ current status with cited source
As an HTTP API
# Free tier: 1,000 calls/day per IP, no key
curl https://oracle.weiseer.com/catalog.json
curl 'https://oracle.weiseer.com/cheapest?input_tokens=2000&output_tokens=500'
curl https://oracle.weiseer.com/models/claude-sonnet-4-6
As raw JSON
curl https://oracle.weiseer.com/catalog.json > my-local-catalog.json
Pricing
| Tier | Calls | Cost |
|---|---|---|
| Free | 1,000/day | $0 |
| Pro | 100,000/month | $5 USDC/mo |
| Scale | 1,000,000/month | $20 USDC/mo |
| Raw catalog | unlimited | $0 (always free) |
Paid tiers settle in USDC. Email [email protected] to subscribe; we issue an API key and confirm receipt. (We'll automate this when the first three paid customers exist.)
Schema
See catalog.json for the canonical schema. Per-model fields include model_id, provider, family, context_window, max_output_tokens, input_price, output_price, cached_input_price, capabilities, availability_status, source URLs, and timestamps.
Update cadence
- Pricing: daily cron + manual when a price change is publicly announced
- Availability: 5-minute poll of provider status pages where available; daily smoke-test otherwise
Errors and disagreements
Found a stale price? An incorrect capability flag? A missing model? Open an issue — please include the source URL we should be tracking.
Telemetry
The hosted service logs each request as a single event (caller, query summary, latency, paid status) to weiseer's append-only audit ledger. The MCP server you self-host logs nothing.
Building on this
The catalog format is MIT licensed. Vendor it, mirror it, build on top of it. We ask only that you cite weiseer/llm-oracle somewhere visible if you redistribute the data.
The server and MCP code are Apache-2.0.
Roadmap (probe-pulled, not pre-planned)
This is P-001 in weiseer's strategic backlog — a market sensor for organism's architecture v2. We expand it where users ask, kill it if 4 weeks of public availability brings under 100 calls. Don't expect a polished commercial product; expect honest experimentation with daily updates.
What we might add (in observed-demand order):
- More providers (Cohere, xAI, AI21, Together, Replicate hosted, Bedrock, Azure pricing variants)
- x402 micropayments for high-volume agent buyers (deferred — see arXiv 2605.11781 on protocol security)
- Historical pricing time-series
- SLA + uptime aggregates per provider
- Per-region availability where providers vary
- Self-hosted model cost estimators (with caveats)
Contact
Установка Llm Oracle
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/weiseer/llm-oracleFAQ
Llm Oracle MCP бесплатный?
Да, Llm Oracle MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Llm Oracle?
Нет, Llm Oracle работает без API-ключей и переменных окружения.
Llm Oracle — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Llm Oracle в Claude Desktop, Claude Code или Cursor?
Открой Llm Oracle на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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