corpusAI Cloud Pricing

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

5/5 Prüfungen bestanden · Was du fragst, läuft über den Server des Anbieters (cloud.trycorpus.ai) · ✓ Befehle geprüft am 14. Nov. 2026

claude mcp add --transport http --scope user corpus-cloud-pricing https://cloud.trycorpus.ai/mcp

{
  "mcpServers": {
    "corpus-cloud-pricing": {
      "url": "https://cloud.trycorpus.ai/mcp"
    }
  }
}

{
  "servers": {
    "corpus-cloud-pricing": {
      "type": "http",
      "url": "https://cloud.trycorpus.ai/mcp"
    }
  }
}

claude mcp add --scope user corpus-cloud-pricing --env CORPUS_PAYER_KEY=your-value -- npx -y corpus-cloud-pricing-mcp

{
  "mcpServers": {
    "corpus-cloud-pricing": {
      "command": "npx",
      "args": [
        "-y",
        "corpus-cloud-pricing-mcp"
      ],
      "env": {
        "CORPUS_PAYER_KEY": "your-value"
      }
    }
  }
}

{
  "mcpServers": {
    "corpus-cloud-pricing": {
      "command": "npx",
      "args": [
        "-y",
        "corpus-cloud-pricing-mcp"
      ],
      "env": {
        "CORPUS_PAYER_KEY": "your-value"
      }
    }
  }
}

{
  "servers": {
    "corpus-cloud-pricing": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "corpus-cloud-pricing-mcp"
      ],
      "env": {
        "CORPUS_PAYER_KEY": "your-value"
      }
    }
  }
}

Welche Apps ihn nutzen können

Basierend darauf, wie sich dieser Server verbindet, und auf der eigenen Doku jeder App, geprüft am 10. Nov. 2026.

Verbinden sich über das Internet in

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Laufen auf deinem Computer in

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Alle Apps, mit Vor- und Nachteilen →

Was er kann

Tool-Namen und -Beschreibungen genau so, wie der Server sie am 14. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.

• health

  Free. Liveness and store readiness. Returns 200 whenever the server is up. `ready` is false while the store is still ingesting after a restart; paid endpoints answer 503 (and take no payment) until it is true.

• catalog

  Free. Providers, regions, coverage window and event counts. One row per (provider, region) with raw-event coverage (instance types, events, first/last event) and legacy-history coverage (daily and monthly date ranges), plus `sources`, the legend explaining every `source` value re

• instances

  Free. Instance types available in a region. Exact type names with per-type coverage: raw events (`events`, `first_event`, `last_event`; zero/null for types that only exist in the legacy history) and legacy history ranges (`history_daily_from/to`, `history_monthly_from/to`). Optio

• spot_events

  Paid (0.01 USDC per call). Raw spot price-change events for one instance type. Every price change for the type in the window, with exact timestamp, availability zone and product (OS). Sorted by time. Repeated identical prices are dropped by default (`include_repeats=true` keeps t

• spot_hourly

  Paid (0.01 USDC per call). Hourly time-weighted OHLC bars for one instance type. Per-zone series are bucketed by UTC hour with time weighting (a price counts for as long as it was in force), then collapsed across zones: open/close/avg are the median across zones, high is the max,

• spot_daily

  Paid (0.05 USDC per call). Full daily history for one instance type, all eras stitched. One row per UTC day from the earliest data for the type to now. Rows dated before the type's first raw event come from the legacy history (`source` = `pauley`: measured 2022-05 to 2024-01 AWS,

• spot_monthly

  Paid (0.05 USDC per call). Full monthly history for one instance type, back to 2014 for legacy AWS types. Calendar months from the earliest data to now. `months` is the curated series: `uscisi-adjusted` months (2017 to 2022-04, AWS types with a stable correction factor, average o

• spot_latest

  Paid (0.01 USDC per call). Price currently in force per zone and product for one instance type. The most recent event of every (zone, product) series of the type, with its timestamp and age. A price is only meaningful while the provider still offers the type; AWS series older tha

• spot_snapshot

  Paid (0.10 USDC per call). Current price of every instance type, zone and product in a whole region, in one call. Bulk snapshot: the most recent event of every series in the region (about 6,000 rows for an AWS region), with timestamp and age per row. Same semantics as /spot/lates

• ondemand

  Paid (0.01 USDC per call). On-demand list-price history of one instance type. Change-point series: one row per day the on-demand (pay-as-you-go) hourly list price changed; `current` is the price in force. AWS: Linux, shared tenancy, from the AWS Price List API, refreshed weekly,

• ondemand_snapshot

  Paid (0.10 USDC per call). Current on-demand list price of every instance type in a region.

• reserved

  Paid (0.01 USDC per call). Reserved / reservation price history of one instance type (AWS standard RIs 1y/3y no-upfront/all-upfront; Azure reservations 1y/3y). Effective hourly USD with any upfront amortized over the term, as change-point series per `ri_type` (`ri_1y_no_upfront_s

• reserved_snapshot

  Paid (0.10 USDC per call). Current reserved effective hourly price of every instance type and ri_type in a region (AWS or Azure).

• gpu_models

  Free. GPU models with rental quotes, and which providers quote them. Normalized model names (use verbatim as `gpu`), number of providers quoting each, quote counts, first/last snapshot day, the lowest observed USD per GPU-hour, and which hyperscaler spot instance families map to

• gpu_quotes

  Paid (0.01 USDC per call). Latest rental quotes for one GPU model across neo-clouds, marketplaces and other clouds. One row per quote in each provider's latest daily snapshot: provider, market (`ondemand`, `spot` = interruptible, `bid` = marketplace minimum bid, `secure`/`communi

• gpu_index

  Paid (0.05 USDC per call). Daily USD per GPU-hour index per provider and market for one GPU model, with hyperscaler spot legs. For each snapshot day and (provider, market): number of quotes and the lowest, median, mean and highest USD per GPU-hour. Rows with provider `aws-spot` o

• gpu_snapshot

  Paid (0.10 USDC per call). Every GPU model × provider × market: lowest and median USD per GPU-hour in the latest snapshot, plus hyperscaler spot per region.

• status

  Free. Freshness of every data source. Per source: last successful snapshot or event, staleness in days, and the public URL it is read from. Use it to decide whether a fixing or quote is current before paying for it.

• index_tickers

  Free. Every index ticker, its segment and definition. Tickers are CX. . (for example CX.H100SXM.NEO) or CX. .SPOT. . Includes the segment membership lists and the methodology version.

• index_fixing

  Paid (0.01 USDC per call). One day's fixing for a ticker: median USD per GPU-hour of eligible quotes, with low, high and count. Quote segments (MKT, AGG, NEO, INT, EXE, HYP) fix from that day's snapshots; the default day is the latest snapshot. SPOT fixes from the full UTC day of

• index_history

  Paid (0.05 USDC per call). Daily fixings for a ticker over a date range. Quote segments start 2026-09-13. SPOT tickers reach back to the start of the spot series (AWS daily from 2022-05-31 for A100, V100, T4, A10; from 2023-07 for H100), each row carrying its data source.

• index_board

  Paid (0.10 USDC per call). Every ticker's fixing for one day in one call.

• attestations

  Free. Daily on-chain attestations of the fixing set. One record per store day: the keccak256 of the day's signed fixings file (served at /attest/ .json), the Ethereum Attestation Service UID and transaction on Base (eip155:8453), the publisher address and the schema UID. Re-hash

• capacity_headline

  Free. Capacity stress score per GPU model for the latest day, score only. Rounded score from 0 (slack) to 100 (tight) per GPU with at least two signals, tightest first, cached ten minutes. The components and their inputs are in the paid /capacity/stress and /capacity/board.

• capacity_stress

  Paid (0.01 USDC per call). Capacity stress score, 0 (slack) to 100 (tight), for one GPU model on one day, with every component. Mean of the components available that day: availability (share of Shadeform and Lambda listings flagged available), ionet (deployable ÷ total units on i

• capacity_history

  Paid (0.05 USDC per call). Daily capacity stress scores for one GPU model.

• capacity_board

  Paid (0.10 USDC per call). Every GPU model's capacity stress score for one day, tightest first.

• tokens_models

  Free. Every LLM with a token price fixing, its ticker codes and today's price range. Canonical model slugs (for example `claude-sonnet-5`, `gpt-6-astra`, `llama-4-maverick`), their ticker codes, how many sources and hosts list them, and the min/max input and output price seen tod

• tokens_quotes

  Paid (0.01 USDC per call). Every listed price for one model on one day: each source and hosting provider, USD per million tokens. Rows from the OpenRouter catalog, OpenRouter per-host endpoints (Azure, Amazon Bedrock, Google, Together, DeepInfra, …), the LiteLLM price table and D

• tokens_fixing

  Paid (0.01 USDC per call). One day's token price fixing for a ticker such as CX.TOK.CLAUDESONNET5.IN. Median across every source and host at the standard tier (batch and free variants excluded). `.IN` and `.OUT` are input and output USD per million tokens; `.BLEND` is (3·input +

• tokens_history

  Paid (0.05 USDC per call). Daily fixings for a token ticker, from the first snapshot (2026-09-14).

• tokens_board

  Paid (0.10 USDC per call). Every model's input, output and blended fixing for one day, plus the frontier basket.

• term_instance

  Paid (0.01 USDC per call). Price ladder for one instance type: spot, on-demand, 1-year and 3-year commitments, with discounts. Current prices from our series: spot median across zones (where spot events exist), on-demand list price, and reserved/reservation terms as effective hou

• term

  Paid (0.05 USDC per call). Term structure per hyperscaler for one GPU model, USD per GPU-hour: spot, on-demand, 1y, 3y. For each hyperscaler with a mapped instance family (see /gpu/models hyperscaler_spot_legs), the median across regions of each term's price divided by GPUs per n

• azure_eviction

  Paid (0.01 USDC per call). Azure spot eviction-rate history (28-day buckets, sampled daily). Daily samples of the eviction-rate bucket Azure reports per SKU (`0-5`, `5-10`, `10-15`, `15-20`, `20+` percent over the trailing 28 days). Collected daily since 2026-09-05; there is no h

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 15. Nov. 2026

• ✓ Bestanden

  Entwickler passt zum Repo

  Der Registry-Name wurde mit dem GitHub-Konto JTraversa bestätigt, dem das Repo gehört

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  Wird noch gepflegt

  Code zuletzt geändert: vor 2 Monaten

• ✓ Bestanden

  Hat eine Lizenz

  Nutzt MIT

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  Endpunkt antwortet

  Antwort in 139 ms (HTTP 200)

• – Nicht zutreffend

  Anmeldung mit OAuth

  Keine Anmeldung nötig

• ✓ Bestanden

  Keine versteckten Anweisungen in Tool-Beschreibungen

  Wir haben 35 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden

Was wir prüfen → · JSON

Nutzerbewertungen

Noch keine Bewertungen

Mit Google anmelden, um zu bewerten

Im Vergleich mit anderen in Suche & KI-Gedächtnisi

• Mehr Sterne als 0 % der anderen 6140 Server in dieser Kategorie
• Neuer in der Registry veröffentlicht als 45 % der anderen 6140 Server in dieser Kategorie
• Basischecks gleich gut wie oder besser als bei 100 % der anderen 6140 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

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README vom Entwickler

claude mcp add corpus-cloud-pricing -e CORPUS_PAYER_KEY=0x... -- npx -y corpus-cloud-pricing-mcp

{

CORPUS_PAYER_KEY=0x... npx corpus-cloud-pricing-mcp balance