GPU Economy - cloud GPU prices
REMOTE · GPUECONOMY.COM
Hourly cloud GPU prices from 80+ providers: find, compare, cost and track GPUs.
Available components
Last scanned (4 hours ago)
Scores higher than 93% of remote servers
Reachable. Last reached 5 Nov 2026.
Category Cloud Infrastructure
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security74
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability87
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 2223 tokens (~105/item across 21 items; 16 tools + 5 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 16 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 18 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 28 Oct 26 +1
- Stability: 0.97 → pass security
- 26 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 24 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 22 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.
- 20 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.
- 19 Oct 26 0
- Server version: 1.5.0 → 1.5.1 functional
- 18 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.
- 15 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://gpueconomy.com/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=gpueconomy.com | CN=WE1,O=Google Trust Services,C=US | 7 Sept 2026 | 6 Dec 2026 | ECDSA 256 | ECDSA-SHA256 | 19a3fe206f78412f137b4cb0e4a68252 |
| SANs: gpueconomy.com | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of gpueconomy.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| gpueconomy.com. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://gpueconomy.com/mcp | Verified | 200 | |
| http (plaintext) | http://gpueconomy.com/mcp | HTTPS enforced | 301 | https://gpueconomy.com/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
buy_vs_rent Buy or rent a GPU ~132
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.
| Name | Type | Req | Description |
|---|---|---|---|
| gpu | string | – | GPU id or name, e.g. rtx-4090; omit for every card with a retail median. |
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| cards | – | – | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| gpu | – | – | – |
| gpu_id | – | – | – |
| hours_per_month | – | – | – |
| not_counted | – | – | – |
| page | – | – | – |
No examples provided.
commitment_savings What a 1- or 3-year commitment saves ~130
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.
| Name | Type | Req | Description |
|---|---|---|---|
| gpu | string | – | Optional GPU id or name; without it, every card. |
| limit | integer | – | Pairs to return, largest saving first; default 15. |
| term | string | – | Which market to pair; default any (1-year, 3-year and spot). |
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| gpu | – | – | – |
| method | – | – | – |
| note | – | – | – |
| page | – | – | – |
| pairs | – | – | – |
| pairs_found | – | – | – |
| term | – | – | – |
| typical_by_term | – | – | – |
No examples provided.
compare_gpus Compare two GPUs ~94
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.
| Name | Type | Req | Description |
|---|---|---|---|
| a | string | yes | First GPU id or name (h100-sxm, "H200"). |
| b | string | yes | Second GPU id or name. |
| Name | Type | Req | Description |
|---|---|---|---|
| a | – | – | – |
| attribution | string | yes | – |
| b | – | – | – |
| both | – | – | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| difference_is | – | – | – |
| note | – | – | – |
| providers_listing_both | – | – | – |
No examples provided.
compare_providers Compare two providers ~89
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.
| Name | Type | Req | Description |
|---|---|---|---|
| a | string | yes | First provider id or name (runpod, lambda, "Google Cloud"). |
| b | string | yes | Second provider id or name. |
| Name | Type | Req | Description |
|---|---|---|---|
| a | – | – | – |
| attribution | string | yes | – |
| b | – | – | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| gpus | – | – | – |
| gpus_compared | – | – | – |
| lower_on | – | – | – |
| note | – | – | – |
| page | – | – | – |
No examples provided.
estimate_cost Estimate what a workload costs ~172
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.
| Name | Type | Req | Description |
|---|---|---|---|
| gpu | string | yes | GPU id or name. |
| gpus | integer | – | How many GPUs; default 1. |
| hours | number | – | Hours of use; default 730 (a month around the clock). |
| limit | integer | – | Cheapest rate cards to price; default 5. |
| market | string | – | Market; default on_demand. |
| region | string | – | Rates listed in US or EU regions, plus rates that name no region (a provider's rate everywhere); default any. |
| Name | Type | Req | Description |
|---|---|---|---|
| arithmetic | – | – | – |
| at_cheapest | – | – | – |
| at_median | – | – | – |
| attribution | string | yes | – |
| buy_instead | – | – | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| gpu | – | – | – |
| gpu_id | – | – | – |
| gpus | – | – | – |
| hours | – | – | – |
| market | – | – | – |
| not_counted | – | – | – |
| page | – | – | – |
| region | – | – | – |
No examples provided.
fetch Read a GPU Economy page ~72
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.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | An id from search. |
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | – |
| metadata | object | – | – |
| text | string | yes | – |
| title | string | yes | – |
| url | string | yes | – |
No examples provided.
find_gpus Find GPUs that meet a requirement ~202
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.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Cards to return; default 10. |
| market | string | – | Market of the cheapest rate; default on_demand. |
| max_usd_per_gpu_hour | number | – | Highest acceptable rate per GPU-hour, compared with each card's cheapest rate. Optional. |
| min_vram_gb | number | – | Least memory per GPU, in GB (24, 48, 80, 141...). Default 0. |
| region | string | – | Rates listed in US or EU regions, plus rates that name no region (a provider's rate everywhere); default any. |
| vendor | string | – | Default any. |
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| cards_matching | – | – | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| gpus | – | – | – |
| note | – | – | – |
| requirement | – | – | – |
No examples provided.
gpu_prices Current prices for one GPU ~166
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.
| Name | Type | Req | Description |
|---|---|---|---|
| gpu | string | yes | GPU id (h100-sxm, h200, b200, rtx-4090) or a name ("H100 SXM", "RTX 4090"). |
| limit | integer | – | Rows to return, cheapest first; default 10. |
| market | string | – | Market to keep; default on_demand. "any" keeps spot, community, serverless and reserved too. |
| region | string | – | Rates listed in US or EU regions, plus rates that name no region (a provider's rate everywhere); default any. |
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| gpu | – | – | – |
| gpu_id | – | – | – |
| market | – | – | – |
| note | – | – | – |
| page | – | – | – |
| prices | – | – | – |
| quotes | – | – | – |
| region | – | – | – |
No examples provided.
list_gpus List GPU models ~39
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.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| count | – | – | – |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| gpus | – | – | – |
No examples provided.
price_history Weekly price history of one GPU ~90
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.
| Name | Type | Req | Description |
|---|---|---|---|
| gpu | string | yes | GPU id or name. |
| weeks | integer | – | Weeks per source, newest first; default 12. |
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| gpu | – | – | – |
| gpu_id | – | – | – |
| note | – | – | – |
| page | – | – | – |
| series | – | – | – |
No examples provided.
price_index Cloud GPU Price Index (H100) ~82
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.
| Name | Type | Req | Description |
|---|---|---|---|
| window | string | – | Which window leads the answer; default week. Every answer carries the newest value of each. |
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| current | – | – | – |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| hour | – | – | – |
| method | – | – | – |
| months | – | – | – |
| name | – | – | – |
| page | – | – | – |
| receipts | – | – | – |
| series | – | – | – |
| window | – | – | – |
No examples provided.
provider_info What a provider is and how it is read ~126
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.
| Name | Type | Req | Description |
|---|---|---|---|
| provider | string | yes | Provider id or name (runpod, "Google Cloud", vast-ai). |
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| beyond_gpu_hour | – | – | – |
| cheapest_on_demand_by_gpu | – | – | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| gpu_models_live | – | – | – |
| live_quotes | – | – | – |
| markets | – | – | – |
| note | – | – | – |
| page | – | – | – |
| provider | – | – | – |
| provider_id | – | – | – |
| read | – | – | – |
| regions_or_tiers | – | – | – |
| type | – | – | – |
No examples provided.
provider_prices Current prices at one provider ~86
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.
| Name | Type | Req | Description |
|---|---|---|---|
| provider | string | yes | Provider id (runpod, lambda, coreweave, aws, azure, gcp, vast-ai) or its name. |
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| page | – | – | – |
| prices | – | – | – |
| provider | – | – | – |
| provider_id | – | – | – |
| quotes | – | – | – |
No examples provided.
recent_price_changes Recent price changes ~141
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.
| Name | Type | Req | Description |
|---|---|---|---|
| gpu | string | – | Optional GPU id or name. |
| include_marketplaces | boolean | – | Also list marketplace floors (Vast.ai), which move with every read; default false. |
| limit | integer | – | Rows; default 20. |
| provider | string | – | Optional provider id or name. |
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| changes | – | – | – |
| changes_in_window | – | – | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| marketplaces | – | – | – |
| page | – | – | – |
| quotes_changed | – | – | – |
| window | – | – | – |
No examples provided.
search Search GPU Economy pages ~78
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.
| Name | Type | Req | Description |
|---|---|---|---|
| query | string | yes | What to look for, e.g. "H100 SXM", "runpod", "reserved H200", "price index". |
| Name | Type | Req | Description |
|---|---|---|---|
| results | array | yes | – |
No examples provided.
token_cost Cost per million output tokens (modelled) ~170
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.
| Name | Type | Req | Description |
|---|---|---|---|
| gpu | string | yes | GPU id or name; NVIDIA publishes runs for B200, B300, H100 SXM, H200 and RTX PRO 6000. |
| model | string | – | Optional model name to keep (gpt-oss-120b, "Qwen 3.5"); default every model NVIDIA ran on the card. |
| Name | Type | Req | Description |
|---|---|---|---|
| attribution | string | yes | – |
| caveat | – | – | – |
| cite_as | string | yes | How to cite this answer: GPU Economy, the page, the data date. |
| data_updated_at | string | yes | Newest scrape behind the answer (ISO 8601). |
| formula | – | – | – |
| gpu | – | – | – |
| gpu_id | – | – | – |
| modelled | – | – | – |
| page | – | – | – |
| rates | – | – | – |
| runs | – | – | – |
| throughput_source | – | – | – |
No examples provided.
How do I install the GPU Economy - cloud GPU prices MCP server?
GPU Economy - cloud GPU prices is a hosted endpoint at https://gpueconomy.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · gpueconomy.com
claude mcp add --transport http laserodds21-gpu-prices 'https://gpueconomy.com/mcp'
What is the GPU Economy - cloud GPU prices MCP server?
GPU Economy - cloud GPU prices is an MCP server listed in the public MCP registry as io.github.laserodds21/gpu-prices. Hourly cloud GPU prices from 80+ providers: find, compare, cost and track GPUs. This page covers its hosted endpoint (https://gpueconomy.com/mcp).
Is the GPU Economy - cloud GPU prices MCP server safe to use?
GPU Economy - cloud GPU prices scores 86 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the GPU Economy - cloud GPU prices MCP server expose?
GPU Economy - cloud GPU prices exposes 16 tools: list_gpus, gpu_prices, provider_prices, price_index, recent_price_changes, and 11 more. Their descriptions and schemas cost roughly 1,869 tokens of context every time the server is loaded.
Does the GPU Economy - cloud GPU prices MCP server require authentication?
No. We connected to GPU Economy - cloud GPU prices without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the GPU Economy - cloud GPU prices MCP server still maintained?
GPU Economy - cloud GPU prices is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.