About llm-oracle
llm-oracle is a continuously updated catalog and query API for LLM pricing and provider availability, for agents and tools choosing models. Its results include source links and data timestamps.
Key features
- 01Search models by provider or capability
- 02Retrieve a model's full record
- 03Rank models by estimated cost
- 04Compare model costs side by side
- 05Check availability with cited sources
Use cases
- 01Route a request to a lower-cost model
- 02Verify current model availability
- 03Compare costs for expected token counts
MCP support
As an MCP server, it exposes tools to list and inspect models, estimate and compare costs, and check availability. Responses include cited sources and timestamps.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y @weiseer/llm-oracle-mcpLLM_ORACLE_URLOverride the remote catalog URL (default https://oracle.weiseer.com/catalog.json)LLM_ORACLE_LOCAL_ONLYSet to any value to skip remote fetch and use bundled catalog onlyLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
8Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| provider | string | No | |
| capability | string | No |
Details
From the project READMEllm-oracle
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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.