Claude Connector

GPU Economy

Current cloud GPU rental prices from 60+ providers, in USD per GPU-hour, each with its read time and a link to its source.

View in the Claude registry

Brand: GPU Economy

Category: Data & Analytics
Primary Subcategory: Sector, Macro & Alternative Data Intelligence

Integration details

Description

GPU Economy reads the public price pages and APIs of 60+ GPU clouds every hour — hyperscalers (AWS, Azure, Google Cloud, Oracle), neoclouds (Lambda, CoreWeave, Nebius, Crusoe, RunPod and others) and marketplaces (Vast.ai, Clore.ai) — and normalizes every listed rate to US dollars per GPU per hour. This server gives an AI agent those prices directly, instead of scraping pages. Tools (all read-only; no key, no account): Prices - list_gpus — every tracked GPU model (H100, H200, B200, B300, A100, L40S, RTX 4090/5090, MI300X and more) with VRAM, how many providers list it and the median on-demand rate. - gpu_prices — current rates for one GPU across providers, cheapest first; on-demand by default, or spot, community, serverless and reserved; optionally US or EU regions only. - provider_prices — every current rate at one provider. - provider_info — one provider: its type, regions, how its prices are read, and its cheapest on-demand rate on each GPU. Choosing and comparing - find_gpus — GPU models that meet a memory and price requirement (e.g. 80 GB+, under $3/hour), cheapest first. - compare_gpus — two GPU models side by side: VRAM, median and cheapest rate, price per GB, and every provider that lists both. - compare_providers — two providers on every GPU both list, and which is cheaper on each. Cost and planning - estimate_cost — what N GPUs cost for a number of hours at listed rates, at the cheapest providers and at the median, with the arithmetic. - commitment_savings — spot and 1- or 3-year committed rates against the same provider's on-demand rate, with the typical discount per term. - buy_vs_rent — a card's retail price against its rental rates: months of rental that equal the purchase. - token_cost — modelled cost per million output tokens from NVIDIA's published throughput; labelled as modelled, cards not comparable on it. Trends - price_index — the Cloud GPU Price Index: the median on-demand H100 SXM rate, weekly, hourly and monthly. - price_history — weekly

Integration type: Connector
Verification status: Community connector
Platform: Claude
Category: Data & Analytics
Primary Subcategory: Sector, Macro & Alternative Data Intelligence
Secondary Subcategories: None listed
Brand: GPU Economy
Access: No account required
First tracked: 2026-09-29
Tool count: 16
Market: US

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Primary Subcategory

Competing in Claude Sector, Macro & Alternative Data Intelligence

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14 scoredVerified connectors by score · Community connectors A–Z

Primary Subcategory

1CB Insights60/100

2S&P - Deterministic Retrieval57/100

3S&P Global - Adaptive Retrieval57/100

4Semrush40/100

5FactSet AI-Ready Data27/100

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Tools

16 tools agents can invoke

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 equal the purchase price, at 100%, 70%, 50% and 25% of a 730-hour month. Rental fee only - power, hosting, the server around the card and resale are not counted. Without gpu, every card that has a retail median.
buy_vs_rent
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; also the newest hourly point and the monthly averages over a fixed panel.
price_index
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 provider that lists both on-demand with the signed difference. Live quotes only.
compare_gpus
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 capacity and marketplace floors are left out of the comparison. Live quotes only.
compare_providers
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 cheapest live on-demand rate card and at the median, with NVIDIA's run (model, framework, precision, sequence, concurrency, date). Cards are not comparable on it - NVIDIA runs each card differently - and an idle GPU costs the same and produces nothing: a floor, never a bill.
token_cost
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 that links its source. Live quotes only.
provider_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 that links its source. Live quotes only.
gpu_prices
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 fee only - storage, network egress, taxes and idle time are not counted - and listed rates, not availability.
estimate_cost
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 rate card and panel size, VRAM and price per GB of VRAM. Community capacity and marketplace floors are out unless the market is set.
find_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.
list_gpus
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 plain text, with the page URL to cite.
fetch
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 how many times it changed. A quote back at its starting figure is left out, and so are marketplace floors unless asked for. Optionally for one GPU or one provider.
recent_price_changes
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.
search
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 reconstructed from a public price catalog (second-hand). Each week carries its panel size; read a median against it.
price_history
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 behind the site's typical discount - with the median per term across every card. A commitment is paid whether the GPU runs or not.
commitment_savings
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 rendered page), how many GPU models and live quotes it has, a one-line note for a reader, its cheapest on-demand rate per card, and what it bills beyond the GPU-hour where read (what the rate includes, data out, storage, stopped instances, billing step). Links its GPU Economy page.
provider_info

FAQs

GPU Economy Claude Connector FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve GPU Economy's Claude Connector discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are GPU Economy alternatives on Claude?

As of 2026-11-02, GPU Economy competes with CB Insights, S&P - Deterministic Retrieval, S&P Global - Adaptive Retrieval, Semrush, FactSet AI-Ready Data, PitchBook Premium, Crunchbase, Bigdata.com and 72 more in Claude Sector, Macro & Alternative Data Intelligence, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.