io.github.laserodds21/gpu-prices

up checked 2026-11-11T08:37:21.441Z

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Publisher-provided title

GPU Economy - cloud GPU prices

Publisher-provided description

Hourly cloud GPU prices from 80+ providers: find, compare, cost and track GPUs.

Summary by lookupd

Lets an agent find, compare and cost cloud GPU rental rates across providers, plus price history and buy-versus-rent figures.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http gpu-prices https://gpueconomy.com/mcp

Codex, remote (streamable-http)

codex mcp add gpu-prices --url https://gpueconomy.com/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "gpu-prices": {
      "url": "https://gpueconomy.com/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (16 tools)

Publisher-provided text

• list_gpus Every GPU model tracked, with its id, VRAM, how many providers list it and the median on-demand rate card in USD per GPU-hour.
• gpu_prices Current listed rental prices for one GPU model across providers, cheapest first, in USD per GPU-hour, each with the time it was read and the GPU Economy page th
• provider_prices Every current listed rental price at one provider (runpod, lambda, aws, vast-ai, ...), in USD per GPU-hour, each with its read time and the GPU Economy page tha
• price_index The Cloud GPU Price Index: median listed on-demand H100 SXM rate across providers, this week and the last eight weeks, with the base-100 index and the receipts;
• recent_price_changes Listed prices that changed in the last 30 days, one row per quote, newest change first: the figure before its first change in the window, the figure now, and ho
• find_gpus GPU models that meet a memory and price requirement, cheapest first: for each card its cheapest live on-demand rate card (provider, read time, page), its median
• compare_gpus Two GPU models side by side: VRAM, median rate card and panel size, cheapest on-demand rate, price per GB of VRAM, retail median where one exists, and every pro
• compare_providers Two providers on every GPU both list on-demand today: each side's cheapest on-demand rate card, the difference and which is lower, and the count. Community capa
• estimate_cost What N GPUs of one model cost for a number of hours at listed rates: at each of the cheapest rate cards and at the median rate card, with the arithmetic. Rental
• price_history Weekly median and cheapest listed on-demand rate for one GPU model, newest week first, from two sources kept apart: our own hourly reads, and a series reconstru
• commitment_savings Committed and spot rates for one GPU (or every GPU) set against the same provider's own on-demand rate for the same card, region and price scope - the pairs beh
• provider_info One provider: its type (hyperscaler, specialist GPU cloud or marketplace), the regions or tiers it names, how GPU Economy reads its prices (pricing page, API or
• token_cost Modelled, not measured: a listed GPU-hour rate divided by the output throughput NVIDIA published for that card and model, per million output tokens, at the chea
• buy_vs_rent A card's new retail price (median of 3+ sellers) against its live on-demand rental rates: months of rental, at the cheapest rate card and at the median, that eq
• search Find GPU Economy pages for a query - a GPU, a provider, the price index, reserved rates, buy vs rent. Returns ids for fetch, with each page's title and URL.
• fetch The text of one GPU Economy page by an id from search (gpu:h100-sxm, provider:runpod, index:h100, reserved, buy-vs-rent): its live rates with read times, as pla

Details

• Version: 1.5.1
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 342 ms
• First indexed: 2026-11-01T09:38:14.205Z
• Last seen in registry: 2026-11-01T09:38:14.223Z
• Website: https://gpueconomy.com/mcp

Badge for your README

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[![lookupd status](https://lookupd.com/badge/io.github.laserodds21/gpu-prices.svg)](https://lookupd.com/servers/io.github.laserodds21/gpu-prices)

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• Last crawl: 2026-11-11T15:38:39.561Z
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