認証済み AgentReady.md 証明書
発行日時 sig: b699fdeb1ddbd680 検証 →

分析済みURL

https://vast.ai

別のURLを分析

AI-Readyスコア

71 / C

普通

/ 100

トークン削減量

HTMLトークン 25.181
Markdownトークン 477
削減率 98%

スコア内訳

セマンティックHTML 75/100
コンテンツ効率 55/100
AI発見可能性 55/100
構造化データ 100/100
アクセシビリティ 93/100

新興プロトコル

3件中0件検出

AIエージェントが探すwell-knownエンドポイント。検出されればエージェントが自動的にあなたのサービスを発見・接続できます。

  • OAuth Discovery RFC 8414
    /.well-known/oauth-authorization-server
  • MCP Server Card Anthropic
    /.well-known/mcp.json
  • A2A Agent Card Google
    /.well-known/agent.json

ページの実際のコンテンツとHTML全体の比率が低いです。ページ重量の多くがコンテンツではなくマークアップ、スクリプト、スタイルです。

実装方法

CSSを外部スタイルシートに移動し、インラインスタイルを削除し、JavaScriptを最小化し、HTMLがコンテンツ構造に集中するようにしてください。

サイトがMarkdown for Agentsに対応していません。このCloudflare標準により、AIエージェントがmarkdown形式でコンテンツをリクエストでき、トークン使用量を約80%削減できます。

実装方法

以下の1つ以上を実装してください:(1) Accept: text/markdownにmarkdownコンテンツで応答。(2) .md URL(例:/page.md)を提供。(3) <link rel="alternate" type="text/markdown">タグを追加。(4) markdown検出用のLink HTTPヘッダーを追加。

{\n res.setHeader('Vary', 'Accept');\n res.setHeader('Link', '; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n res.type('text/markdown; charset=utf-8');\n return res.send(renderMarkdown('page'));\n }\n res.render('page');\n});"},{"id":"fastify","label":"Fastify","language":"javascript","filename":"server.js","code":"// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n reply.header('Vary', 'Accept');\n reply.header('Link', '; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n }\n return reply.view('/page.ejs');\n});"},{"id":"nextjs","label":"Next.js","language":"typescript","filename":"app/page/route.ts","code":"// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n const accept = req.headers.get('accept') || '';\n if (accept.includes('text/markdown')) {\n return new Response(await renderMarkdown('page'), {\n headers: {\n 'Content-Type': 'text/markdown; charset=utf-8',\n 'Vary': 'Accept',\n },\n });\n }\n // Fall through to the page component\n return new Response(null, { status: 404 });\n}"},{"id":"wordpress","label":"WordPress","language":"php","filename":"functions.php","code":"post_content));\n exit;\n});"},{"id":"static","label":"Hugo / Jekyll / Astro","language":"txt","filename":"static/page.md","code":"# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in :\n# "}] }'>

Content-Signalディレクティブが見つかりません。これらはAIエージェントにコンテンツの使用方法(検索インデックス、AI入力、トレーニングデータ)を伝えます。推奨場所はrobots.txtです。

実装方法

robots.txtにContent-Signalを追加:User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no。markdown応答のHTTPヘッダーとしても追加できます。

{\n res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n done();\n});"}] }'>

多くの要素にインラインスタイル属性があります。これらはAIエージェントがコンテンツを抽出する際のノイズになります。

実装方法

すべてのインラインスタイルをスタイルシートのCSSクラスに移動してください。多くの固有スタイルが必要な場合はTailwindなどのユーティリティCSSフレームワークを使用してください。

ページが<div>要素に大きく依存しています。<section>、<nav>、<header>、<footer>、<aside>などのセマンティック要素はAIエージェントに意味のある構造を提供します。

実装方法

汎用的な<div>コンテナを適切なセマンティック要素に置き換えてください。テーマ別グループには<section>、ナビゲーションには<nav>、ページ/セクションのヘッダーとフッターには<header>/<footer>を使用してください。

一部の画像に説明的なalt属性がありません。適切なalt属性はAIエージェントが画像の内容とコンテキストを理解するのに役立ちます。

実装方法

すべての画像に説明的なalt属性を追加してください。「画像」や「写真」だけでなく、画像の内容を説明してください。装飾的な画像にはalt=""(空)を使用してください。

Markdownトークン: 477
## Real-time GPU infrastructure

Prices set by supply and demand across 20,000+ GPUs. Transparent. Programmatically queryable.

## How it works

From sign-up to running GPU workloads in under five minutes.

1

### Add credit & get your API key

Start with as little as $5. Grab your API key from the console — no contracts, no sales calls.

2

### Search GPUs

Filter by model, VRAM, price, and availability — via console or API.

3

### Deploy

Launch instances in seconds. Scale up or down programmatically.

## Compare. Launch. Exit. Repeat.

Every GPU on Vast.ai is provisioned through code. The same API that developers use to deploy in seconds is the interface agents use to procure and optimize at scale.

Programmatic compute provisioning in five lines of code.

`pip install vastai-sdk`

Search, filter, and deploy from your terminal.

`pip install vastai`

The interface agents call to provision infrastructure.

`curl -H "Authorization: Bearer $VAST_API_KEY" https://cloud.vast.ai/api/v1/bundles/`

## One platform. Three ways to deploy.

GPU Cloud for full control. Serverless for zero-ops inference. Clusters for large-scale training.

## Popular Models, Ready to Deploy

Launch pre-configured templates for the most popular open-source models.

> “Vast.ai reduced our GPU costs by over 60% while giving us the flexibility to scale training jobs on demand. We serve 200K daily users without breaking the bank.”

## How teams build on Vast.ai

See how teams use Vast.ai to scale AI infrastructure and accelerate production workloads.

[

![Creatix Technology](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-creatix-sm.webp&w=2048&q=75)

](https://vast.ai/case-studies/creatix-technology)

[

![PAICON](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-paicon-sm.webp&w=2048&q=75)

](https://vast.ai/case-studies/paicon)

## Start with $5. Scale to 20,000 GPUs.

No humans required.
GPU Infrastructure for AI Agents | Vast.ai

[![Vast AI](https://vast.ai/vast_logo.svg)](https://vast.ai/)

[Contact Sales](https://vast.ai/contact-sales)[Console](https://cloud.vast.ai/)

-   Developers

    [Quickstart](https://docs.vast.ai/cli/get-started)[CLI](https://vast.ai/developers/cli)[Python SDK](https://vast.ai/developers/sdk)[API](https://vast.ai/developers/api)[Docs](https://docs.vast.ai/)

-   [Pricing](https://vast.ai/pricing)
-   Products

    [GPU Cloud](https://vast.ai/products/gpu-cloud)[Clusters](https://vast.ai/products/clusters)[Serverless](https://vast.ai/products/serverless)[Model Library](https://vast.ai/model-library)

-   Hosting

    [Hosting](https://vast.ai/hosting)[Data Centers](https://vast.ai/data-center-application)[Financing](https://vast.ai/hosting/finance)[Hardware](https://vast.ai/hosting/hardware)[Docs](https://docs.vast.ai/documentation/host/hosting-overview)

-   Use Cases

    [All Use Cases](https://vast.ai/use-cases)[AI Agents](https://vast.ai/use-cases/ai-agents)[AI Fine Tuning](https://vast.ai/use-cases/ai-fine-tuning)[AI Image + Video Generation](https://vast.ai/use-cases/ai-image-video-generation)[AI Text Generation](https://vast.ai/use-cases/ai-text-generation)[AI/ML Frameworks](https://vast.ai/use-cases/ai-ml-frameworks)[Audio-to-Text Transcription](https://vast.ai/use-cases/audio-to-text-transcription)[Batch Data Processing](https://vast.ai/use-cases/batch-data-processing)[GPU Programming](https://vast.ai/use-cases/gpu-programming)[Graphics Rendering](https://vast.ai/use-cases/3d-rendering)[Virtual Computing](https://vast.ai/use-cases/virtual-computing)

-   Company

    [About](https://vast.ai/about)[Blog](https://vast.ai/blog)[Careers](https://vast.ai/careers)[Enterprise](https://vast.ai/enterprise)[Case Studies](https://vast.ai/case-studies)[Startup Program](https://vast.ai/startup)[FAQ](https://docs.vast.ai/faq)[Press Releases](https://vast.ai/press-releases)

SOC 2 Certified

# Agent-Ready AI
Infrastructure.

Vast is the infrastructure layer where AI agents autonomously design, procure, and optimize their own compute. API-native provisioning. Real-time pricing. Per-second billing.

Get Started

[CLI Docs](https://docs.vast.ai/cli/get-started)

700K+ transactions/mo20,000+ GPUs40+ data centers68+ GPU types

Trusted by developers and AI teams worldwide

![CHAI](https://vast.ai/partners/Chai.svg)

![BOSCH](https://vast.ai/partners/bosch.svg)

![Cognition](https://vast.ai/partners/Path%201.svg)

![Inria](https://vast.ai/partners/inria.svg)

![IBM](https://vast.ai/partners/ibm-svgrepo-com.svg)

![Brave](https://vast.ai/partners/brave.svg)

![Speechify](https://vast.ai/partners/speechify.svg)

![CHAI](https://vast.ai/partners/Chai.svg)

![BOSCH](https://vast.ai/partners/bosch.svg)

![Cognition](https://vast.ai/partners/Path%201.svg)

![Inria](https://vast.ai/partners/inria.svg)

![IBM](https://vast.ai/partners/ibm-svgrepo-com.svg)

![Brave](https://vast.ai/partners/brave.svg)

![Speechify](https://vast.ai/partners/speechify.svg)

## Real-time GPU infrastructure

Prices set by supply and demand across 20,000+ GPUs. Transparent. Programmatically queryable.

[View All GPUs](https://vast.ai/pricing)

## How it works

From sign-up to running GPU workloads in under five minutes.

1

### Add credit & get your API key

Start with as little as $5. Grab your API key from the console — no contracts, no sales calls.

2

### Search GPUs

Filter by model, VRAM, price, and availability — via console or API.

3

### Deploy

Launch instances in seconds. Scale up or down programmatically.

[Get Started for $5](https://cloud.vast.ai/)

## Compare. Launch. Exit. Repeat.

Every GPU on Vast.ai is provisioned through code. The same API that developers use to deploy in seconds is the interface agents use to procure and optimize at scale.

Python SDK[Docs →](https://docs.vast.ai/sdk/python/quickstart)

Programmatic compute provisioning in five lines of code.

`pip install vastai-sdk`

CLI[Docs →](https://docs.vast.ai/cli/get-started)

Search, filter, and deploy from your terminal.

`pip install vastai`

REST API[Docs →](https://docs.vast.ai/api-reference/introduction)

The interface agents call to provision infrastructure.

`curl -H "Authorization: Bearer $VAST_API_KEY" https://cloud.vast.ai/api/v1/bundles/`

[Explore Developer Tools](https://vast.ai/developers)

deploy.py

## One platform. Three ways to deploy.

GPU Cloud for full control. Serverless for zero-ops inference. Clusters for large-scale training.

### GPU Cloud

On-demand instances across 40+ data centers and 20,000+ GPUs. Deploy in seconds via CLI, SDK, or API.

[Explore GPU Cloud](https://vast.ai/products/gpu-cloud)

### Serverless

Deploy models as endpoints with automatic benchmarking and optimization across GPU types. Autoscale to zero, pay only for compute time.

[Try Serverless](https://vast.ai/products/serverless)

### Clusters

Dedicated multi-node GPU clusters with InfiniBand networking for large-scale training.

[View Clusters](https://vast.ai/products/clusters)

![Case Studies](https://vast.ai/uploads/aurora/images/img-home-caseStudies.png)

Built for Every AI Workload

From training to inference, fine-tuning to rendering — run any GPU workload on Vast.

[Use Cases](https://vast.ai/use-cases)

[AI/ML Frameworks](https://vast.ai/use-cases/ai-ml-frameworks)[AI Text Generation](https://vast.ai/use-cases/ai-text-generation)[AI Image + Video Generation](https://vast.ai/use-cases/ai-image-video-generation)[AI Agents](https://vast.ai/use-cases/ai-agents)[Batch Data Processing](https://vast.ai/use-cases/batch-data-processing)[Audio-to-Text Transcription](https://vast.ai/use-cases/audio-to-text-transcription)[AI Fine Tuning](https://vast.ai/use-cases/ai-fine-tuning)[Virtual Computing](https://vast.ai/use-cases/virtual-computing)[GPU Programming](https://vast.ai/use-cases/gpu-programming)[Graphics Rendering](https://vast.ai/use-cases/3d-rendering)

## Popular Models, Ready to Deploy

Launch pre-configured templates for the most popular open-source models.

![](https://vast.ai/model/logos/google.svg)

### Gemma 4 26B A4B IT

Gemma 4 26B A4B MoE vision-language model by Google with 256K context and thinking mode

[Deploy](https://vast.ai/model/gemma-4-26b-a4b-it)

![](https://vast.ai/model/logos/google.svg)

### Gemma 4 31B IT

Gemma 4 31B dense vision-language model by Google with 256K context and thinking mode

[Deploy](https://vast.ai/model/gemma-4-31b-it)

![](https://vast.ai/model/logos/lightricks.svg)

### LTX-2.3

LTX-2.3 is a DiT-based audio-video foundation model with improved quality and prompt adherence for synchronized video and audio generation

[Deploy](https://vast.ai/model/ltx-2-3)

![](https://vast.ai/model/logos/alibaba.svg)

### Qwen3.5 397B A17B

Efficient multimodal reasoning model with hybrid DeltaNet-attention architecture

[Deploy](https://vast.ai/model/qwen35-397b-a17b)

[Browse Model Library](https://vast.ai/model-library)

> “Vast.ai reduced our GPU costs by over 60% while giving us the flexibility to scale training jobs on demand. We serve 200K daily users without breaking the bank.”

## How teams build on Vast.ai

See how teams use Vast.ai to scale AI infrastructure and accelerate production workloads.

[

![Creatix Technology](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-creatix-sm.webp&w=2048&q=75)

](https://vast.ai/case-studies/creatix-technology)

Creatix Technology

[### Creatix Technology Scales to 200K Daily Users with Vast.ai's GPU Cloud](https://vast.ai/case-studies/creatix-technology)

How a fast-growing AI app company cut infrastructure costs by over 60% and powered millions of new users with Vast.ai.

Tech

[View Case Study](https://vast.ai/case-studies/creatix-technology)

[

![PAICON](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-paicon-sm.webp&w=2048&q=75)

](https://vast.ai/case-studies/paicon)

PAICON

[### PAICON Accelerates Global, Data-Centric Cancer Diagnostics with Vast.ai](https://vast.ai/case-studies/paicon)

How a global oncology data platform used Vast.ai’s GPU cloud to rapidly iterate on Athena—validating that diversity can matter more than scale—while significantly reducing research-phase training costs.

Medical AI

[View Case Study](https://vast.ai/case-studies/paicon)

## Start with $5. Scale to 20,000 GPUs.

No humans required.

[Get Started](https://cloud.vast.ai/)[Contact Sales](https://vast.ai/contact-sales)

このファイルをサーバーの/index.mdとしてアップロードし、AIエージェントがページのクリーンなバージョンにアクセスできるようにしましょう。Accept: text/markdownコンテンツネゴシエーションを設定して自動的に配信することもできます。

推奨内容

llms.txtをダウンロード
# Vast AI

> Rent high-performance cloud GPUs at low cost with Vast.ai. Instantly deploy GPU rentals for AI, machine learning, deep learning, and rendering. Flexible pricing, fast setup, and global availability

## Main
- [GPU Infrastructure for AI Agents | Vast.ai](https://vast.ai): Rent high-performance cloud GPUs at low cost with Vast.ai. Instantly deploy GPU rentals for AI, machine learning, deep…
- [Pricing](https://vast.ai/pricing)
- [GPU Cloud](https://vast.ai/products/gpu-cloud)
- [Clusters](https://vast.ai/products/clusters)
- [Serverless](https://vast.ai/products/serverless)
- [About](https://vast.ai/about)
- [Developers](https://vast.ai/developers)
- [CLI](https://vast.ai/developers/cli)
- [Python SDK](https://vast.ai/developers/sdk)
- [API](https://vast.ai/developers/api)
- [Model Library](https://vast.ai/model-library)
- [Hosting](https://vast.ai/hosting)
- [Data Centers](https://vast.ai/data-center-application)
- [Financing](https://vast.ai/hosting/finance)

## Blog
- [Blog](https://vast.ai/blog)

## Legal
- [Terms of Service](https://vast.ai/terms)
- [Privacy Policy](https://vast.ai/privacy)

## Support
- [Contact Sales](https://vast.ai/contact-sales)
- [Get in Touch](https://vast.ai/contact)

完全なllms.txtにはドメイン全体の分析が必要です(近日公開)

このファイルをドメインのルートにhttps://vast.ai/llms.txtとしてアップロードしてください。ChatGPT、Claude、PerplexityなどのAIエージェントはこのファイルを確認してサイト構造を理解します。

このサイトにはすでにllms.txtファイルがあります。

有効な形式
# Vast.ai

> Vast.ai is a GPU cloud platform offering on-demand access to thousands of GPUs — RTX 4090s, H100s, B200s, and more — from data centers and independent hosts worldwide. No minimum commitment.

Sign up and search GPUs at [https://cloud.vast.ai](https://cloud.vast.ai).

## AI Agents (Claude Code, Cursor, Windsurf, etc.)

- [CLI SKILL.md](https://raw.githubusercontent.com/vast-ai/vast-cli/master/vastai/SKILL.md) — commands, auth, quirks, common errors
- [SDK SKILL.md](https://raw.githubusercontent.com/vast-ai/vast-cli/master/vastai_sdk/SKILL.md) — Python VastAI class, SyncClient, AsyncClient, Serverless

or install the Vast.ai skill:

```
npx skills add vast-ai/vast-cli
```

## Get Started

- [Quickstart](https://docs.vast.ai/documentation/get-started/quickstart.md)
- [CLI overview & install](https://docs.vast.ai/cli/get-started.md)
- [Python SDK](https://docs.vast.ai/sdk/python/quickstart.md)
- [REST API](https://docs.vast.ai/api-reference/introduction.md)
- [OpenAPI spec](https://raw.githubusercontent.com/vast-ai/vast-cli/master/openapi/yaml/combined_api.yaml)

## Instances

- [Find and rent](https://docs.vast.ai/documentation/instances/choosing/find-and-rent.md)
- [Instance types](https://docs.vast.ai/documentation/instances/choosing/instance-types.md)
- [Reserved instances](https://docs.vast.ai/documentation/instances/choosing/reserved-instances.md)
- [SSH](https://docs.vast.ai/documentation/instances/connect/ssh.md)
- [Networking & ports](https://docs.vast.ai/documentation/instances/connect/networking.md)
- [Storage & volumes](https://docs.vast.ai/documentation/instances/storage/volumes.md)
- [Data movement](https://docs.vast.ai/documentation/instances/storage/data-movement.md)
- [Virtual machines](https://docs.vast.ai/documentation/instances/virtual-machines.md)
- [Pricing](https://docs.vast.ai/documentation/instances/pricing.md)
- [Manage instances](https://docs.vast.ai/documentation/instances/manage-instances.md)

## Serverless

- [Overview](https://docs.vast.ai/documentation/serverless/overview.md)
- [Getting started](https://docs.vast.ai/documentation/serverless/getting-started-with-serverless.md)
- [vLLM](https://docs.vast.ai/documentation/serverless/vllm.md)
- [ComfyUI](https://docs.vast.ai/documentation/serverless/comfy-ui.md)
- [Worker states](https://docs.vast.ai/documentation/serverless/worker-states.md)
- [Pricing](https://docs.vast.ai/documentation/serverless/pricing.md)
- [SDK overview](https://docs.vast.ai/documentation/serverless/SDKoverview.md)

## API Reference

- [Introduction](https://docs.vast.ai/api-reference/introduction.md)
- [Creating instances](https://docs.vast.ai/api-reference/creating-instances-with-api.md)
- [Permissions & authorization](https://docs.vast.ai/api-reference/permissions-and-authorization.md)
- [Rate limits & errors](https://docs.vast.ai/api-reference/rate-limits-and-errors.md)

## Hosting (Suppliers)

- [Hosting overview](https://docs.vast.ai/documentation/host/hosting-overview.md)
- [Earning](https://docs.vast.ai/documentation/host/earning.md)
- [Verification](https://docs.vast.ai/documentation/host/understanding-verification.md)
- [Payment](https://docs.vast.ai/documentation/host/payment.md)

## Reference

- [Billing](https://docs.vast.ai/documentation/reference/billing.md)
- [API keys](https://docs.vast.ai/documentation/reference/keys.md)
- [Account settings](https://docs.vast.ai/documentation/reference/account-settings.md)
- [FAQ](https://docs.vast.ai/documentation/reference/faq/general.md)
- [Troubleshooting](https://docs.vast.ai/documentation/reference/troubleshooting.md)

## General Information

- [GPU pricing](https://vast.ai/pricing)
- [Model library](https://vast.ai/model-library)
- [Hosting / become a supplier](https://vast.ai/hosting)
- [Case studies](https://vast.ai/case-studies)
- [Serverless product](https://vast.ai/products/serverless)
- [GPU Cloud product](https://vast.ai/products/gpu-cloud)
- [Clusters product](https://vast.ai/products/clusters)
- [Developers](https://vast.ai/developers)
- [CLI landing](https://vast.ai/developers/cli)
- [SDK landing](https://vast.ai/developers/sdk)
- [About](https://vast.ai/about)
- [Blog](https://vast.ai/blog)

## Support

- [Live chat support](https://go.crisp.chat/chat/embed/?website_id=734d7b1a-86fc-470d-b60a-f6d4840573ae): 24/7 live chat support for technical issues, billing questions, and platform guidance.
- [Discord](https://discord.gg/vast): Community support and discussion.
- [Docs home](https://docs.vast.ai): Main documentation site.
- [Docs llms index](https://docs.vast.ai/llms.txt): Full docs index for LLM and agent discovery.

## Optional

- [Full resource index](https://vast.ai/llms-full.txt): Expanded catalog of platform pages, GPU pages, documentation, and articles.

セマンティックHTML

articleまたはmain要素を使用 (100/100)

Has <main>

適切な見出し階層 (100/100)

Clean heading hierarchy

セマンティックHTML要素を使用 (25/100)

14 semantic elements, 169 divs (ratio: 8%)

意味のある画像alt属性 (42/100)

10/24 images with meaningful alt text

低いdivネスト深度 (91/100)

Avg div depth: 5.9, max: 9

コンテンツ効率

良好なトークン削減率 (100/100)

98% token reduction (HTML→Markdown)

良好なコンテンツ対ノイズ比 (0/100)

Content ratio: 1.9% (1508 content chars / 79818 HTML bytes)

最小限のインラインスタイル (0/100)

78/640 elements with inline styles (12.2%)

適切なページ重量 (100/100)

HTML size: 78KB

AI発見可能性

llms.txtファイルあり (100/100)

llms.txt exists and is valid

robots.txtファイルあり (100/100)

robots.txt exists

robots.txtがAIボットを許可 (100/100)

All major AI bots allowed

sitemap.xmlあり (100/100)

Sitemap found

Markdown for Agentsサポート (0/100)
&#10007; Accept: text/markdown &#10007; .md URL &#10007; <link> tag &#10007; Link header
Content-Signalあり(robots.txtまたはHTTPヘッダー) (0/100)
&#10003; robots.txt &#10003; HTTP header &#10007; Policy

構造化データ

Schema.org / JSON-LDあり (100/100)

JSON-LD found: Organization, WebSite

Open Graphタグあり (100/100)

All OG tags present

メタディスクリプションあり (100/100)

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  "markdown": "## Real-time GPU infrastructure\n\nPrices set by supply and demand across 20,000+ GPUs. Transparent. Programmatically queryable.\n\n## How it works\n\nFrom sign-up to running GPU workloads in under five minutes.\n\n1\n\n### Add credit & get your API key\n\nStart with as little as $5. Grab your API key from the console — no contracts, no sales calls.\n\n2\n\n### Search GPUs\n\nFilter by model, VRAM, price, and availability — via console or API.\n\n3\n\n### Deploy\n\nLaunch instances in seconds. Scale up or down programmatically.\n\n## Compare. Launch. Exit. Repeat.\n\nEvery GPU on Vast.ai is provisioned through code. The same API that developers use to deploy in seconds is the interface agents use to procure and optimize at scale.\n\nProgrammatic compute provisioning in five lines of code.\n\n`pip install vastai-sdk`\n\nSearch, filter, and deploy from your terminal.\n\n`pip install vastai`\n\nThe interface agents call to provision infrastructure.\n\n`curl -H \"Authorization: Bearer $VAST_API_KEY\" https://cloud.vast.ai/api/v1/bundles/`\n\n## One platform. Three ways to deploy.\n\nGPU Cloud for full control. Serverless for zero-ops inference. Clusters for large-scale training.\n\n## Popular Models, Ready to Deploy\n\nLaunch pre-configured templates for the most popular open-source models.\n\n> “Vast.ai reduced our GPU costs by over 60% while giving us the flexibility to scale training jobs on demand. We serve 200K daily users without breaking the bank.”\n\n## How teams build on Vast.ai\n\nSee how teams use Vast.ai to scale AI infrastructure and accelerate production workloads.\n\n[\n\n![Creatix Technology](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-creatix-sm.webp&w=2048&q=75)\n\n](https://vast.ai/case-studies/creatix-technology)\n\n[\n\n![PAICON](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-paicon-sm.webp&w=2048&q=75)\n\n](https://vast.ai/case-studies/paicon)\n\n## Start with $5. Scale to 20,000 GPUs.\n\nNo humans required.\n",
  "fullPageMarkdown": "GPU Infrastructure for AI Agents | Vast.ai\n\n[![Vast AI](https://vast.ai/vast_logo.svg)](https://vast.ai/)\n\n[Contact Sales](https://vast.ai/contact-sales)[Console](https://cloud.vast.ai/)\n\n-   Developers\n\n    [Quickstart](https://docs.vast.ai/cli/get-started)[CLI](https://vast.ai/developers/cli)[Python SDK](https://vast.ai/developers/sdk)[API](https://vast.ai/developers/api)[Docs](https://docs.vast.ai/)\n\n-   [Pricing](https://vast.ai/pricing)\n-   Products\n\n    [GPU Cloud](https://vast.ai/products/gpu-cloud)[Clusters](https://vast.ai/products/clusters)[Serverless](https://vast.ai/products/serverless)[Model Library](https://vast.ai/model-library)\n\n-   Hosting\n\n    [Hosting](https://vast.ai/hosting)[Data Centers](https://vast.ai/data-center-application)[Financing](https://vast.ai/hosting/finance)[Hardware](https://vast.ai/hosting/hardware)[Docs](https://docs.vast.ai/documentation/host/hosting-overview)\n\n-   Use Cases\n\n    [All Use Cases](https://vast.ai/use-cases)[AI Agents](https://vast.ai/use-cases/ai-agents)[AI Fine Tuning](https://vast.ai/use-cases/ai-fine-tuning)[AI Image + Video Generation](https://vast.ai/use-cases/ai-image-video-generation)[AI Text Generation](https://vast.ai/use-cases/ai-text-generation)[AI/ML Frameworks](https://vast.ai/use-cases/ai-ml-frameworks)[Audio-to-Text Transcription](https://vast.ai/use-cases/audio-to-text-transcription)[Batch Data Processing](https://vast.ai/use-cases/batch-data-processing)[GPU Programming](https://vast.ai/use-cases/gpu-programming)[Graphics Rendering](https://vast.ai/use-cases/3d-rendering)[Virtual Computing](https://vast.ai/use-cases/virtual-computing)\n\n-   Company\n\n    [About](https://vast.ai/about)[Blog](https://vast.ai/blog)[Careers](https://vast.ai/careers)[Enterprise](https://vast.ai/enterprise)[Case Studies](https://vast.ai/case-studies)[Startup Program](https://vast.ai/startup)[FAQ](https://docs.vast.ai/faq)[Press Releases](https://vast.ai/press-releases)\n\nSOC 2 Certified\n\n# Agent-Ready AI\nInfrastructure.\n\nVast is the infrastructure layer where AI agents autonomously design, procure, and optimize their own compute. API-native provisioning. Real-time pricing. Per-second billing.\n\nGet Started\n\n[CLI Docs](https://docs.vast.ai/cli/get-started)\n\n700K+ transactions/mo20,000+ GPUs40+ data centers68+ GPU types\n\nTrusted by developers and AI teams worldwide\n\n![CHAI](https://vast.ai/partners/Chai.svg)\n\n![BOSCH](https://vast.ai/partners/bosch.svg)\n\n![Cognition](https://vast.ai/partners/Path%201.svg)\n\n![Inria](https://vast.ai/partners/inria.svg)\n\n![IBM](https://vast.ai/partners/ibm-svgrepo-com.svg)\n\n![Brave](https://vast.ai/partners/brave.svg)\n\n![Speechify](https://vast.ai/partners/speechify.svg)\n\n![CHAI](https://vast.ai/partners/Chai.svg)\n\n![BOSCH](https://vast.ai/partners/bosch.svg)\n\n![Cognition](https://vast.ai/partners/Path%201.svg)\n\n![Inria](https://vast.ai/partners/inria.svg)\n\n![IBM](https://vast.ai/partners/ibm-svgrepo-com.svg)\n\n![Brave](https://vast.ai/partners/brave.svg)\n\n![Speechify](https://vast.ai/partners/speechify.svg)\n\n## Real-time GPU infrastructure\n\nPrices set by supply and demand across 20,000+ GPUs. Transparent. Programmatically queryable.\n\n[View All GPUs](https://vast.ai/pricing)\n\n## How it works\n\nFrom sign-up to running GPU workloads in under five minutes.\n\n1\n\n### Add credit & get your API key\n\nStart with as little as $5. Grab your API key from the console — no contracts, no sales calls.\n\n2\n\n### Search GPUs\n\nFilter by model, VRAM, price, and availability — via console or API.\n\n3\n\n### Deploy\n\nLaunch instances in seconds. Scale up or down programmatically.\n\n[Get Started for $5](https://cloud.vast.ai/)\n\n## Compare. Launch. Exit. Repeat.\n\nEvery GPU on Vast.ai is provisioned through code. The same API that developers use to deploy in seconds is the interface agents use to procure and optimize at scale.\n\nPython SDK[Docs →](https://docs.vast.ai/sdk/python/quickstart)\n\nProgrammatic compute provisioning in five lines of code.\n\n`pip install vastai-sdk`\n\nCLI[Docs →](https://docs.vast.ai/cli/get-started)\n\nSearch, filter, and deploy from your terminal.\n\n`pip install vastai`\n\nREST API[Docs →](https://docs.vast.ai/api-reference/introduction)\n\nThe interface agents call to provision infrastructure.\n\n`curl -H \"Authorization: Bearer $VAST_API_KEY\" https://cloud.vast.ai/api/v1/bundles/`\n\n[Explore Developer Tools](https://vast.ai/developers)\n\ndeploy.py\n\n## One platform. Three ways to deploy.\n\nGPU Cloud for full control. Serverless for zero-ops inference. Clusters for large-scale training.\n\n### GPU Cloud\n\nOn-demand instances across 40+ data centers and 20,000+ GPUs. Deploy in seconds via CLI, SDK, or API.\n\n[Explore GPU Cloud](https://vast.ai/products/gpu-cloud)\n\n### Serverless\n\nDeploy models as endpoints with automatic benchmarking and optimization across GPU types. Autoscale to zero, pay only for compute time.\n\n[Try Serverless](https://vast.ai/products/serverless)\n\n### Clusters\n\nDedicated multi-node GPU clusters with InfiniBand networking for large-scale training.\n\n[View Clusters](https://vast.ai/products/clusters)\n\n![Case Studies](https://vast.ai/uploads/aurora/images/img-home-caseStudies.png)\n\nBuilt for Every AI Workload\n\nFrom training to inference, fine-tuning to rendering — run any GPU workload on Vast.\n\n[Use Cases](https://vast.ai/use-cases)\n\n[AI/ML Frameworks](https://vast.ai/use-cases/ai-ml-frameworks)[AI Text Generation](https://vast.ai/use-cases/ai-text-generation)[AI Image + Video Generation](https://vast.ai/use-cases/ai-image-video-generation)[AI Agents](https://vast.ai/use-cases/ai-agents)[Batch Data Processing](https://vast.ai/use-cases/batch-data-processing)[Audio-to-Text Transcription](https://vast.ai/use-cases/audio-to-text-transcription)[AI Fine Tuning](https://vast.ai/use-cases/ai-fine-tuning)[Virtual Computing](https://vast.ai/use-cases/virtual-computing)[GPU Programming](https://vast.ai/use-cases/gpu-programming)[Graphics Rendering](https://vast.ai/use-cases/3d-rendering)\n\n## Popular Models, Ready to Deploy\n\nLaunch pre-configured templates for the most popular open-source models.\n\n![](https://vast.ai/model/logos/google.svg)\n\n### Gemma 4 26B A4B IT\n\nGemma 4 26B A4B MoE vision-language model by Google with 256K context and thinking mode\n\n[Deploy](https://vast.ai/model/gemma-4-26b-a4b-it)\n\n![](https://vast.ai/model/logos/google.svg)\n\n### Gemma 4 31B IT\n\nGemma 4 31B dense vision-language model by Google with 256K context and thinking mode\n\n[Deploy](https://vast.ai/model/gemma-4-31b-it)\n\n![](https://vast.ai/model/logos/lightricks.svg)\n\n### LTX-2.3\n\nLTX-2.3 is a DiT-based audio-video foundation model with improved quality and prompt adherence for synchronized video and audio generation\n\n[Deploy](https://vast.ai/model/ltx-2-3)\n\n![](https://vast.ai/model/logos/alibaba.svg)\n\n### Qwen3.5 397B A17B\n\nEfficient multimodal reasoning model with hybrid DeltaNet-attention architecture\n\n[Deploy](https://vast.ai/model/qwen35-397b-a17b)\n\n[Browse Model Library](https://vast.ai/model-library)\n\n> “Vast.ai reduced our GPU costs by over 60% while giving us the flexibility to scale training jobs on demand. We serve 200K daily users without breaking the bank.”\n\n## How teams build on Vast.ai\n\nSee how teams use Vast.ai to scale AI infrastructure and accelerate production workloads.\n\n[\n\n![Creatix Technology](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-creatix-sm.webp&w=2048&q=75)\n\n](https://vast.ai/case-studies/creatix-technology)\n\nCreatix Technology\n\n[### Creatix Technology Scales to 200K Daily Users with Vast.ai's GPU Cloud](https://vast.ai/case-studies/creatix-technology)\n\nHow a fast-growing AI app company cut infrastructure costs by over 60% and powered millions of new users with Vast.ai.\n\nTech\n\n[View Case Study](https://vast.ai/case-studies/creatix-technology)\n\n[\n\n![PAICON](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-paicon-sm.webp&w=2048&q=75)\n\n](https://vast.ai/case-studies/paicon)\n\nPAICON\n\n[### PAICON Accelerates Global, Data-Centric Cancer Diagnostics with Vast.ai](https://vast.ai/case-studies/paicon)\n\nHow a global oncology data platform used Vast.ai’s GPU cloud to rapidly iterate on Athena—validating that diversity can matter more than scale—while significantly reducing research-phase training costs.\n\nMedical AI\n\n[View Case Study](https://vast.ai/case-studies/paicon)\n\n## Start with $5. Scale to 20,000 GPUs.\n\nNo humans required.\n\n[Get Started](https://cloud.vast.ai/)[Contact Sales](https://vast.ai/contact-sales)\n",
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  "llmsTxtPreview": "# Vast AI\n\n> Rent high-performance cloud GPUs at low cost with Vast.ai. Instantly deploy GPU rentals for AI, machine learning, deep learning, and rendering. Flexible pricing, fast setup, and global availability\n\n## Main\n- [GPU Infrastructure for AI Agents | Vast.ai](https://vast.ai): Rent high-performance cloud GPUs at low cost with Vast.ai. Instantly deploy GPU rentals for AI, machine learning, deep…\n- [Pricing](https://vast.ai/pricing)\n- [GPU Cloud](https://vast.ai/products/gpu-cloud)\n- [Clusters](https://vast.ai/products/clusters)\n- [Serverless](https://vast.ai/products/serverless)\n- [About](https://vast.ai/about)\n- [Developers](https://vast.ai/developers)\n- [CLI](https://vast.ai/developers/cli)\n- [Python SDK](https://vast.ai/developers/sdk)\n- [API](https://vast.ai/developers/api)\n- [Model Library](https://vast.ai/model-library)\n- [Hosting](https://vast.ai/hosting)\n- [Data Centers](https://vast.ai/data-center-application)\n- [Financing](https://vast.ai/hosting/finance)\n\n## Blog\n- [Blog](https://vast.ai/blog)\n\n## Legal\n- [Terms of Service](https://vast.ai/terms)\n- [Privacy Policy](https://vast.ai/privacy)\n\n## Support\n- [Contact Sales](https://vast.ai/contact-sales)\n- [Get in Touch](https://vast.ai/contact)\n\n",
  "llmsTxtExisting": "# Vast.ai\n\n> Vast.ai is a GPU cloud platform offering on-demand access to thousands of GPUs — RTX 4090s, H100s, B200s, and more — from data centers and independent hosts worldwide. No minimum commitment.\n\nSign up and search GPUs at [https://cloud.vast.ai](https://cloud.vast.ai).\n\n## AI Agents (Claude Code, Cursor, Windsurf, etc.)\n\n- [CLI SKILL.md](https://raw.githubusercontent.com/vast-ai/vast-cli/master/vastai/SKILL.md) — commands, auth, quirks, common errors\n- [SDK SKILL.md](https://raw.githubusercontent.com/vast-ai/vast-cli/master/vastai_sdk/SKILL.md) — Python VastAI class, SyncClient, AsyncClient, Serverless\n\nor install the Vast.ai skill:\n\n```\nnpx skills add vast-ai/vast-cli\n```\n\n## Get Started\n\n- [Quickstart](https://docs.vast.ai/documentation/get-started/quickstart.md)\n- [CLI overview & install](https://docs.vast.ai/cli/get-started.md)\n- [Python SDK](https://docs.vast.ai/sdk/python/quickstart.md)\n- [REST API](https://docs.vast.ai/api-reference/introduction.md)\n- [OpenAPI spec](https://raw.githubusercontent.com/vast-ai/vast-cli/master/openapi/yaml/combined_api.yaml)\n\n## Instances\n\n- [Find and rent](https://docs.vast.ai/documentation/instances/choosing/find-and-rent.md)\n- [Instance types](https://docs.vast.ai/documentation/instances/choosing/instance-types.md)\n- [Reserved instances](https://docs.vast.ai/documentation/instances/choosing/reserved-instances.md)\n- [SSH](https://docs.vast.ai/documentation/instances/connect/ssh.md)\n- [Networking & ports](https://docs.vast.ai/documentation/instances/connect/networking.md)\n- [Storage & volumes](https://docs.vast.ai/documentation/instances/storage/volumes.md)\n- [Data movement](https://docs.vast.ai/documentation/instances/storage/data-movement.md)\n- [Virtual machines](https://docs.vast.ai/documentation/instances/virtual-machines.md)\n- [Pricing](https://docs.vast.ai/documentation/instances/pricing.md)\n- [Manage instances](https://docs.vast.ai/documentation/instances/manage-instances.md)\n\n## Serverless\n\n- [Overview](https://docs.vast.ai/documentation/serverless/overview.md)\n- [Getting started](https://docs.vast.ai/documentation/serverless/getting-started-with-serverless.md)\n- [vLLM](https://docs.vast.ai/documentation/serverless/vllm.md)\n- [ComfyUI](https://docs.vast.ai/documentation/serverless/comfy-ui.md)\n- [Worker states](https://docs.vast.ai/documentation/serverless/worker-states.md)\n- [Pricing](https://docs.vast.ai/documentation/serverless/pricing.md)\n- [SDK overview](https://docs.vast.ai/documentation/serverless/SDKoverview.md)\n\n## API Reference\n\n- [Introduction](https://docs.vast.ai/api-reference/introduction.md)\n- [Creating instances](https://docs.vast.ai/api-reference/creating-instances-with-api.md)\n- [Permissions & authorization](https://docs.vast.ai/api-reference/permissions-and-authorization.md)\n- [Rate limits & errors](https://docs.vast.ai/api-reference/rate-limits-and-errors.md)\n\n## Hosting (Suppliers)\n\n- [Hosting overview](https://docs.vast.ai/documentation/host/hosting-overview.md)\n- [Earning](https://docs.vast.ai/documentation/host/earning.md)\n- [Verification](https://docs.vast.ai/documentation/host/understanding-verification.md)\n- [Payment](https://docs.vast.ai/documentation/host/payment.md)\n\n## Reference\n\n- [Billing](https://docs.vast.ai/documentation/reference/billing.md)\n- [API keys](https://docs.vast.ai/documentation/reference/keys.md)\n- [Account settings](https://docs.vast.ai/documentation/reference/account-settings.md)\n- [FAQ](https://docs.vast.ai/documentation/reference/faq/general.md)\n- [Troubleshooting](https://docs.vast.ai/documentation/reference/troubleshooting.md)\n\n## General Information\n\n- [GPU pricing](https://vast.ai/pricing)\n- [Model library](https://vast.ai/model-library)\n- [Hosting / become a supplier](https://vast.ai/hosting)\n- [Case studies](https://vast.ai/case-studies)\n- [Serverless product](https://vast.ai/products/serverless)\n- [GPU Cloud product](https://vast.ai/products/gpu-cloud)\n- [Clusters product](https://vast.ai/products/clusters)\n- [Developers](https://vast.ai/developers)\n- [CLI landing](https://vast.ai/developers/cli)\n- [SDK landing](https://vast.ai/developers/sdk)\n- [About](https://vast.ai/about)\n- [Blog](https://vast.ai/blog)\n\n## Support\n\n- [Live chat support](https://go.crisp.chat/chat/embed/?website_id=734d7b1a-86fc-470d-b60a-f6d4840573ae): 24/7 live chat support for technical issues, billing questions, and platform guidance.\n- [Discord](https://discord.gg/vast): Community support and discussion.\n- [Docs home](https://docs.vast.ai): Main documentation site.\n- [Docs llms index](https://docs.vast.ai/llms.txt): Full docs index for LLM and agent discovery.\n\n## Optional\n\n- [Full resource index](https://vast.ai/llms-full.txt): Expanded catalog of platform pages, GPU pages, documentation, and articles.",
  "emergingProtocols": {
    "oauthDiscovery": {
      "exists": false,
      "url": "https://vast.ai/.well-known/oauth-authorization-server"
    },
    "mcpServerCard": {
      "exists": false,
      "url": "https://vast.ai/.well-known/mcp.json"
    },
    "a2aAgentCard": {
      "exists": false,
      "url": "https://vast.ai/.well-known/agent.json"
    },
    "count": 0
  },
  "snippets": [
    {
      "id": "add_content_signals",
      "title": "Add Content-Signal directives",
      "description": "Content-Signal tells AI agents how they may use your content. The canonical location is robots.txt, but you can also expose it as an HTTP header from any stack.",
      "language": "txt",
      "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no",
      "filename": "/robots.txt",
      "stacks": [
        {
          "id": "robots",
          "label": "robots.txt",
          "language": "txt",
          "filename": "/robots.txt",
          "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no"
        },
        {
          "id": "nginx",
          "label": "Nginx",
          "language": "nginx",
          "filename": "server block",
          "code": "# Inside your server { } block:\nadd_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;"
        },
        {
          "id": "apache",
          "label": "Apache",
          "language": "apache",
          "filename": ".htaccess",
          "code": "# In .htaccess (or VirtualHost):\nHeader set Content-Signal \"search=yes, ai-input=yes, ai-train=no\""
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// In your theme's functions.php or a small mu-plugin\nadd_action('send_headers', function () {\n    header('Content-Signal: search=yes, ai-input=yes, ai-train=no');\n});\n\n// Optional: also append the directive to the dynamic robots.txt\nadd_filter('robots_txt', function ($output) {\n    return $output . \"\\nContent-Signal: search=yes, ai-input=yes, ai-train=no\\n\";\n}, 10, 1);"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "middleware.ts",
          "code": "// middleware.ts (Next.js 13+ App Router or Pages Router)\nimport { NextResponse } from 'next/server';\nexport function middleware() {\n  const res = NextResponse.next();\n  res.headers.set(\n    'Content-Signal',\n    'search=yes, ai-input=yes, ai-train=no'\n  );\n  return res;\n}\nexport const config = { matcher: '/:path*' };"
        },
        {
          "id": "cloudflare",
          "label": "Cloudflare Workers",
          "language": "javascript",
          "filename": "worker.js",
          "code": "// Cloudflare Worker that proxies your origin and adds the header\nexport default {\n  async fetch(request, env, ctx) {\n    const res = await fetch(request);\n    const newRes = new Response(res.body, res);\n    newRes.headers.set(\n      'Content-Signal',\n      'search=yes, ai-input=yes, ai-train=no'\n    );\n    return newRes;\n  },\n};"
        },
        {
          "id": "express",
          "label": "Express / Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Express\napp.use((req, res, next) => {\n  res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n  reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  done();\n});"
        }
      ]
    },
    {
      "id": "add_markdown_negotiation",
      "title": "Support Markdown for Agents",
      "description": "Let AI agents request a clean Markdown version of any page via content negotiation, .md alternate URLs, link tags or Link headers.",
      "language": "html",
      "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">",
      "filename": "<head>",
      "stacks": [
        {
          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
          "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        },
        {
          "id": "express",
          "label": "Express",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\napp.get('/page', (req, res) => {\n  res.setHeader('Vary', 'Accept');\n  res.setHeader('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    res.type('text/markdown; charset=utf-8');\n    return res.send(renderMarkdown('page'));\n  }\n  res.render('page');\n});"
        },
        {
          "id": "fastify",
          "label": "Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n  reply.header('Vary', 'Accept');\n  reply.header('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n  }\n  return reply.view('/page.ejs');\n});"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "app/page/route.ts",
          "code": "// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n  const accept = req.headers.get('accept') || '';\n  if (accept.includes('text/markdown')) {\n    return new Response(await renderMarkdown('page'), {\n      headers: {\n        'Content-Type': 'text/markdown; charset=utf-8',\n        'Vary': 'Accept',\n      },\n    });\n  }\n  // Fall through to the page component\n  return new Response(null, { status: 404 });\n}"
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// Mechanism 1: respond to Accept: text/markdown on the same URL\nadd_action('template_redirect', function () {\n    if (!is_singular()) return;\n    $accept = $_SERVER['HTTP_ACCEPT'] ?? '';\n    if (strpos($accept, 'text/markdown') === false) return;\n    header('Content-Type: text/markdown; charset=utf-8');\n    header('Vary: Accept');\n    $post = get_queried_object();\n    echo \"# \" . get_the_title($post) . \"\\n\\n\";\n    echo wp_strip_all_tags(apply_filters('the_content', $post->post_content));\n    exit;\n});"
        },
        {
          "id": "static",
          "label": "Hugo / Jekyll / Astro",
          "language": "txt",
          "filename": "static/page.md",
          "code": "# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in <head>:\n#   <link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        }
      ]
    }
  ]
}

APIを使用してプログラムで取得できます(近日公開)

このJSONは内部使用向けです — MarkdownやllMs.txtファイルとは異なり、サイトにアップロードするものではありません。スコアの経時変化を追跡するための基準値として保存するか、開発チームと共有するか、CI/CDパイプラインに統合してください。

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近日公開: ドメイン全体分析

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