com.infercpiPublished by infercpi.comOfficial publisherv1.0.0Updated Oct 29, 2026
AI inference price index: token prices, cost per capability, open vs closed, hosts, cost per task.
Read-only MCP server exposing InferCPI's AI inference price index: token prices, cost per capability, open vs closed models, hosts and cost per task.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/com.infercpi%2Fapi/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"infercpi": {
"type": "http",
"url": "https://infercpi.com/mcp"
}
}
}InferCPI tracks what AI inference costs: list prices, what buyers actually pay, the cost of a fixed level of capability, open vs closed models, third-party hosts, self-hosting, and cost per completed task. Site: https://infercpi.com.
This repo holds the public API docs, examples and the MCP server. The data is free, needs no key, and is licensed CC BY 4.0: cite as InferCPI, infercpi.com.
Static JSON at https://infercpi.com/v1/. Full reference: https://infercpi.com/api.html.
More in examples/.
mcp_server.py gives agents ten read-only tools over the API: index_latest, index_series, index_catalogue, basket, model_price, events, speed, open_vs_closed, self_hosting, cost_per_task.
Hosted, no key: https://infercpi.com/mcp (streamable HTTP).
Claude.ai and Claude Desktop: Settings → Connectors → Add custom connector, paste the URL.
Or run it yourself:
Claude Desktop (claude_desktop_config.json):
It reads https://infercpi.com by default; set INFERCPI_BASE to point elsewhere.
How every series is built: https://infercpi.com/methodology.html. Inputs: LiteLLM and pydantic/genai-prices (MIT), Epoch AI Capabilities Index (CC BY 4.0), OpenRouter rankings (CC BY 4.0), SEC filings (public domain). Speed and cost per task are our own measurements.
Code in this repo: MIT. Index data: CC BY 4.0. Questions, corrections or a series you need: open an issue.
Source: README.md at commit 1e7403e
Latest value of every index series (list-price chained/composition/hedonic, usage-weighted paid price, Törnqvist, OpenRouter shares, TPI replica) with dates, the latest editorial note, and the licence/attribution line. Start here.
Takes no parameters.
Full weekly history of one series as [[unix_ts, value], ...] plus its method string. signal: price_index | weighted_index | or_rankings | implied_margin | self_host | task_cost | hf_downloads | gpu_spot | gpu_neocloud | aws_gpu | speed | hyperscaler_capex | seller_revenue | cloud_revenue | token_price ... key: see index_catalogue. since: optional ISO date to cut the history.
keyrequiredsincesignalrequiredEvery series the index publishes: signal/key, point count, first and last date, method string.
Takes no parameters.
Every model priced in this week's list-price index: provider, blended $/1M (0.75 in + 0.25 out), Epoch capability score where matched.
Takes no parameters.
Priced events in first-party price lists, newest first: launch, price_cut, price_increase, removed, each with key, provider, old/new blended $/1M and pct. since: ISO date; kind: filter to one kind.
kindsinceLatest daily speed run, measured by the index: per model and route (openrouter default routing, openrouter_pinned to the first-party host, anthropic and openai direct), median time to first token (ms), visible output tokens per second, host that served it. Same prompt every day.
Takes no parameters.
Blended list $/1M for one model by any common name ('Claude Opus 5.5', 'anthropic/claude-opus-5.5', 'gpt-5.5'); matches by the index's name normaliser and returns every basket entry that matches.
namerequiredCheapest blended $/1M at each capability level (Epoch ECI 130/145/160) for closed models, open models at their lab's price and open models at the cheapest third-party host; the open discount; DeepSeek's floor lift (cheapest price without DeepSeek / cheapest overall, at lab and at host prices); and the host discount per open model (lab price / cheapest host).
Takes no parameters.
What it costs per 1M tokens to leave the APIs: desk boxes (Mac Studio lease, RTX 5090 bought) at full and 25% duty, H100 rented by source (Vast, AWS, RunPod, CoreWeave, Lambda, Nebius) and owned, against the API price of the same open model and of the cheapest closed model at equal capability; break-even volume and how far hardware cost must fall. Plus posted GPU-hour prices and Hugging Face download counts.
Takes no parameters.
Monthly measurement: dollars and tokens per completed task for the most-used models (fixed 8-task suite via OpenRouter at default settings, charged cost), reasoning share of output tokens, accuracy, and medians.
Takes no parameters.
90% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Declare a license in the repository or the registry entry.
curl -s https://infercpi.com/v1/latest.json | jq '.latest["weighted_index/paid_usd_1m"]'claude mcp add --transport http infercpi https://infercpi.com/mcp # Claude Codemkdir -p ~/.local/share/infercpicurl -so ~/.local/share/infercpi/mcp_server.py https://raw.githubusercontent.com/Infer-CPI/api/main/mcp_server.pypip install mcp # mcp 1.x or 2.x both workclaude mcp add infercpi -s user -- python3 ~/.local/share/infercpi/mcp_server.py # Claude Codepython3 ~/.local/share/infercpi/mcp_server.py --http # or: streamable HTTP on :8765{ "mcpServers": { "infercpi": { "command": "python3", "args": ["/home/YOU/.local/share/infercpi/mcp_server.py"] } } }