Compute Screener

com.computescreenerPublished by computescreener.comOfficial publisherv1.21.0Updated Nov 4, 2026

GPU cloud pricing (H100, H200, B200 per hour) and AI model API pricing per 1M tokens, with history.

VerifiedStreamable HTTPWeb executableFinanceData & AnalyticsAI & ML

Overview

AI-generated overview

Compute Screener publishes daily GPU rental and AI token price indices, letting an assistant look up prices, history, changes and provider comparisons.

What you can do
  • Look up today's GPU rental index prices per GPU-hour and AI token prices per 1M tokens, with 1-day, 1-week and 1-month changes
  • Read daily price history for a GPU or AI company, or a price at a past date or time
  • Compare posted prices across GPU clouds and marketplaces, and per-model API prices with usage shares
  • See what moved over 1, 5, 7 or 30 days, and break-even throughput or margin for a model on a GPU
  • Check data freshness, list indices, and verify a published daily value against its manifest
  • Search the site's GPUs, companies, models, providers and methodology pages, then fetch full page text
When to use it
Useful when someone asks what a GPU costs to rent per hour, which cloud or marketplace prices a GPU lowest, what an AI model's API costs per 1M tokens, or how those prices have moved over time.
Requirements
A remote streamable HTTP endpoint at computescreener.com; no package, account, API key or environment variable is declared.
Before you install
Read-only price information about posted prices and markets, not financial advice; figures are published under CC BY 4.0 and require credit to Compute Screener. Current-day values are provisional, and index values are standardized estimates rather than quotes.

Installation

In SourceWeft

  1. Open Compute Screener in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

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.computescreener%2Fcompute-screener/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.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "compute-screener": {
      "type": "http",
      "url": "https://computescreener.com/mcp"
    }
  }
}

Tools

14

get_gpu_prices

GPU rental prices

Today's GPU rental prices: the price index in USD per GPU-hour for each GPU (H100, H200, A100, B200, B300, RTX PRO 6000, L40S, RTX A6000, RTX 6000 Ada, L40, RTX 4090), with 1-day, 1-week and 1-month changes, the index day and a link to each GPU's page. Give one GPU to also get what its page shows: its benchmark contract, each provider's average price standardized to that contract, the posted prices of providers outside the index (AWS, Azure, Google Cloud, Oracle, Koyeb, Packet: each one's lowest, as posted) and its compute futures prices: each exchange listing a contract on its rental price, with the last price and 24-hour volume, read within the last minute (all of them: https://computescreener.com/futures). For past values use get_price_history; for providers' posted prices get_provider_prices. For questions like "what does an H100 cost per hour?", "how much is it to rent a B200?" or "H200 cloud pricing today".

Parametersgpu

get_token_prices

AI token prices

Today's AI token prices by company: each company's price index in USD per 1M tokens at the mix of tokens agents send (87% cache read, 12% input, 1% output), weighted by its models' usage, with 1-day, 1-week and 1-month changes. Give one company to also get its models' usage shares and posted input, cached input and output prices, and its estimated spend on OpenRouter. For one model's prices use get_model_prices; for past values get_price_history. For questions like "what does Claude cost per 1M tokens?" or "which AI company's API is cheapest?".

Parameterscompany

get_price_history

Price history

Price history of one GPU (USD per GPU-hour) or one AI company (USD per 1M tokens), oldest first. GPU history is daily from 2025-11-07 for H100 and A100, from 2026-10-23 for the other first GPUs and from its first index day for each GPU added later, weekly before; token history is daily from 2025-01-01. Give days for the latest days, or from and to for a period (e.g. a month: from 2026-01-01 to 2026-01-31).

Parameterstodaysfromnamerequired

get_model_prices

AI model API prices

Each AI model's posted API prices in USD per 1M input, cached input and output tokens and its price at the mix of tokens agents send (the models behind the token index and the Intelligence Index chart's, each with its page), with its usage share and its 1-month change. Give a model (name or page id, e.g. "Claude Opus 5.5" or "kimi-k3") for its daily price history as its page's chart draws it (a name several models share answers with each one's prices), or a company to list its models. Every other model OpenRouter prices is on the Every AI model page (https://computescreener.com/models): give its name or id (e.g. "meta-llama/llama-3.3-70b-instruct"), any company on it (e.g. "Cohere"), or every: true to list them, with sort: "price" for the cheapest first. For questions like "what does Claude Sonnet cost per 1M input and output tokens?", "the cheapest AI model API" or "the cheapest provider of a model".

Parameterssorteverylimitmodelcompany

get_provider_prices

GPU prices by provider

Each GPU cloud's and marketplace's posted on-demand prices per GPU, as its page on the site shows them (lowest and highest that day, as posted, with the configuration of the lowest) and its average in the index, standardized to the GPU's benchmark contract so providers compare like for like. Give a provider (e.g. "CoreWeave", "RunPod") and/or a GPU; a provider outside the index (AWS, Azure, Google Cloud, Oracle and others) answers with its lowest posted price for each GPU, as the GPU's page lists it. For questions like "what does RunPod charge for an H100?", "AWS H100 price" or "Lambda GPU pricing".

Parametersgpuprovider

get_price_changes

What changed

What moved, as the site's changes show it: every listed GPU and company index's change over 1, 5, 7 or 30 days (the site's 1D, 5D, 1W and 1M), largest first, and every AI model whose price (at the mix, as its page charts it) moved over that time.

Parametersdays

get_gpu_market_prices

Prices of every other GPU

Rental prices of every other GPU, as the site's Every GPU page lists them (https://computescreener.com/gpus): RTX 5090, A40, L4, GH200, V100 and over 60 more, each one's lowest and median price per GPU-hour today as posted (offers that can be rented now), its offers, how many are in stock, its providers and the cheapest, from RunPod, Vast.ai, Akash, Shadeform's catalog of clouds, Lium, Vultr, AWS, Azure, Google Cloud, Oracle, Akamai, Koyeb, Packet, Northflank, Fireworks AI, Thunder Compute, DeepInfra, Replicate, Baseten, Lightning AI, Beam, fal, Exoscale, Atlantic.Net, Hugging Face, IBM Cloud, Novita AI, Oblivus, FriendliAI, Seeweb (posted in euros, converted at the ECB rate) and, from 2026-11-01, SaladCloud. Not an index: configurations are not standardized (the GPUs with a price index are in get_gpu_prices).

Parametersgpu

get_gpu_price_at

GPU price at a time

A GPU's index price at a past date or time, as its page's chart draws it: the value calculated at or just before an ISO time within the last few days (the 1D and 5D charts; prices are recalculated every minute, kept at least every 30 minutes), else the daily value of that US Central day.

Parametersatrequiredgpurequired

get_workload_cost

Break-even throughput and gross margin

Break-even throughput, as each GPU's and each model's page shows it: the tokens per second one GPU must sell at a model's list price (3 input : 1 output) to cover the GPU's rental price today. Give a GPU for every model on it, a model for every GPU, or a company for its models; give a throughput for what the gross margin calculator on a model's page shows: the revenue per GPU-hour and the gross margin. For questions like "how many tokens per second must an H100 sell to cover its rent?".

Parametersgpumodelcompanythroughput_tokens_per_second

list_indices

Every GPU and company listed

Every GPU rental index and AI company token index the site lists: whether it is listed (has a price, a month of history and a value for each of its 1-day, 1-week and 1-month changes), its latest value and day, when its history starts, its provider or model count, its benchmark contract (GPUs) and its page, and the GPUs on the Every GPU page. Use it to see what the other tools accept.

Takes no parameters.

verify_price

Check a published price

How a published daily value can be checked: whether it is final, and for a final day its manifest (every file it was computed from with its SHA-256, the factors in force, the calculation code's SHA-256 and the final values) and the command that recomputes it from the public files with the published code. Omit date for the latest day with a manifest.

Parametersdatenamerequired

get_data_status

Data freshness and sources

How fresh the data is, as the status page shows it: when the GPU and token indices were last calculated, today's index day, each GPU price source's status and last read, each GPU index's status, provider count and imputed share, and the latest days with a manifest.

Takes no parameters.

fetch

Read a Compute Screener page

The full text of a result from search, by its id (gpu:H100, company:OpenAI, model:<page>, provider:<page>, page:methodology, page:futures, page:verification, page:power, page:coding, page:datacenters) or the page's address: prices, changes, history, providers or models, as on the site.

Parametersidrequired

Version history

5
  1. v1.21.0LatestNov 4, 2026
  2. v1.19.0Oct 31, 2026
  3. v1.17.0Oct 30, 2026
  4. v1.5.0Oct 25, 2026
  5. v1.4.2Oct 24, 2026

Score

83% 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.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.