Compute Screener

Name: Compute Screener
Author: com.computescreener

MCP serverMCP

Daily price indices for renting GPUs (H100 to B300) and for AI model tokens, with history.

by com.computescreenerhomepage ↗v1.4.2

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Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability8/8 checks ok

30 days ago

when	check	result	http	latency	detail
6 h ago	mcp initialize	ok	200	535 ms	server computescreener 1.9.0 · protocol 2025-06-18 · 22 tools
13 h ago	mcp initialize	ok	200	664 ms	server computescreener 1.5.0 · protocol 2025-06-18 · 3 tools
20 h ago	mcp initialize	ok	200	989 ms	server computescreener 1.5.0 · protocol 2025-06-18 · 3 tools
28 h ago	mcp initialize	ok	200	655 ms	server computescreener 1.5.0 · protocol 2025-06-18 · 3 tools
35 h ago	mcp initialize	ok	200	739 ms	server computescreener 1.5.0 · protocol 2025-06-18 · 3 tools
2 d ago	mcp initialize	ok	200	3111 ms	server computescreener 1.5.0 · protocol 2025-06-18 · 3 tools
2 d ago	mcp initialize	ok	200	143 ms	server computescreener 1.5.0 · protocol 2025-06-18 · 3 tools
2 d ago	mcp initialize	ok	200	328 ms	server computescreener 1.4.2 · protocol 2025-06-18 · 3 tools

Tools observed via MCP handshake

get_gpu_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), with 1-day, 1-week and 1-month changes
get_token_prices — Today's AI token prices by company: each company's price index in USD per 1M tokens (3 input : 1 output blend, weighted by its models' usage), with 1-day, 1-wee
get_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 and from
get_model_prices — Each AI model's posted API prices in USD per 1M input and output tokens (the models behind the token index), with its usage share, its last price change and its
get_provider_prices — Each GPU cloud's and marketplace's posted on-demand prices per GPU (lowest and highest that day, as posted, with the configuration of the lowest) and its averag
estimate_gpu_cost — What renting a GPU would cost for a number of hours: at the index price and at each provider's standardized average, cheapest first (on-demand, benchmark contra
estimate_token_cost — What a number of input and output tokens would cost on each model at its posted prices, cheapest first, and on each company's models in their usage shares. Give
get_market_stats — For each GPU and AI company index (or one): its 7- and 30-day averages, its 30- and 90-day high and low, its 90-day change, its 30- and 90-day volatility (stand
get_price_changes — What moved recently: every listed GPU and company index's change over the last few days, largest first, and every AI model whose posted prices changed in that t
get_gpu_market_prices — Rental prices of GPUs beyond the index (RTX 5090, RTX 4090, L40S, RTX 6000 Ada, RTX A6000, A40, L4, GH200, V100 and about 30 more): each model's lowest, median
get_market_overview — The compute market in one answer: how many GPU and AI company indices rose or fell today, their average 1-day, 1-week and 1-month changes, the cheapest and most
get_token_volume — How many tokens each AI company's models processed per day on OpenRouter (the volumes that weight the token index), with 1-week and 1-month changes, each compan
get_gpu_volume_metrics — Supply behind each GPU index: offers read at the latest collection and how many had capacity to rent (in stock), prices used, providers read today or carried, p
get_gpu_price_at — A GPU's index price at a past date or time: the value calculated at or just before an ISO time within the last few days (prices are recalculated every minute; k
get_forward_curve — Compute futures on one GPU's rental price against its index: every exchange's contract (perpetual or dated), last price, 24-hour volume and premium or discount
get_workload_cost — What serving AI tokens on each GPU costs and earns at today's prices: the break-even throughput (tokens per second one GPU must sell at a model's or company's p
find_gpu_for_model — Which GPUs can hold a model of a given size and what that setup costs per hour: the memory needed (weights at the precision, plus room for the KV cache and acti
list_indices — Every GPU rental index and AI company token index Compute Screener covers: whether it is listed (has a price and a month of history), its latest value and day,
verify_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
get_data_status — How fresh the data is: 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 pr
search — Search Compute Screener's GPUs, AI companies, AI models, GPU providers and methodology by keyword (e.g. "H100", "Claude Opus", "CoreWeave", "benchmark contract"
fetch — 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): p

Compute Screener

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