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URL analysée

https://vast.ai

Analyser une autre URL

Score AI-Ready

71 / C

Passable

sur 100

Économie de tokens

Tokens HTML 25.181
Tokens Markdown 477
Économie 98%

Détail du score

HTML sémantique 75/100
Efficacité du contenu 55/100
Visibilité IA 55/100
Données structurées 100/100
Accessibilité 93/100

Protocoles émergents

0 sur 3 détectés

Endpoints well-known recherchés par les agents IA. Détecté signifie qu’un agent peut découvrir et se connecter automatiquement à votre service.

  • 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

Votre page a un faible ratio de contenu réel par rapport au HTML total. Une grande partie du poids de la page est du balisage, des scripts ou des styles plutôt que du contenu.

Comment implémenter

Déplacez le CSS vers des feuilles de style externes, supprimez les styles en ligne, minimisez le JavaScript et assurez-vous que le HTML se concentre sur la structure du contenu.

Votre site ne supporte pas Markdown for Agents. Ce standard Cloudflare permet aux agents IA de demander du contenu en format markdown, réduisant l'utilisation de tokens de ~80%.

Comment implémenter

Implémentez un ou plusieurs : (1) Répondre à Accept: text/markdown avec du contenu markdown. (2) Servir des URLs .md (ex : /page.md). (3) Ajouter des balises <link rel="alternate" type="text/markdown">. (4) Ajouter des en-têtes HTTP Link pour la découverte markdown.

{\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# "}] }'>

Aucune directive Content-Signal trouvée. Celles-ci indiquent aux agents IA comment ils peuvent utiliser votre contenu (indexation, entrée IA, données d'entraînement). L'emplacement recommandé est robots.txt.

Comment implémenter

Ajoutez Content-Signal à votre robots.txt : User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Vous pouvez aussi l'ajouter comme en-tête HTTP sur les réponses markdown.

{\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});"}] }'>

De nombreux éléments ont des attributs de style en ligne. Ils ajoutent du bruit pour les AI agents lors de l’extraction du contenu.

Comment implémenter

Déplacez tous les styles en ligne vers des classes CSS dans votre feuille de style. Utilisez des frameworks CSS utilitaires comme Tailwind si vous avez besoin de nombreux styles uniques.

Votre page repose fortement sur les éléments <div>. Les éléments sémantiques comme <section>, <nav>, <header>, <footer> et <aside> fournissent une structure significative pour les AI agents.

Comment implémenter

Remplacez les conteneurs <div> génériques par les éléments sémantiques appropriés. Utilisez <section> pour les groupes thématiques, <nav> pour la navigation, <header>/<footer> pour les en-têtes et pieds de page ou de section.

Certaines images manquent de texte alternatif descriptif. De bons textes alt aident les AI agents à comprendre le contenu et le contexte des images.

Comment implémenter

Ajoutez des attributs alt descriptifs à toutes les images. Décrivez ce que l’image montre, pas juste « image » ou « photo ». Pour les images décoratives, utilisez alt="" (vide).

Tokens Markdown: 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)

Téléversez ce fichier sous /index.md sur votre serveur pour que les AI agents puissent accéder à une version propre de votre page. Vous pouvez également configurer la négociation de contenu Accept: text/markdown pour le servir automatiquement.

Notre recommandation

Télécharger llms.txt
# 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)

Le llms.txt complet nécessite une analyse de tout le domaine (bientôt disponible)

Téléversez ce fichier vers https://vast.ai/llms.txt à la racine de votre domaine. Les AI agents comme ChatGPT, Claude et Perplexity consultent ce fichier pour comprendre la structure de votre site.

Ce site possède déjà un fichier llms.txt.

Format valide
# 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.

HTML sémantique

Utilise les éléments article ou main (100/100)

Has <main>

Hiérarchie de titres correcte (100/100)

Clean heading hierarchy

Utilise des éléments HTML sémantiques (25/100)

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

Textes alternatifs descriptifs pour les images (42/100)

10/24 images with meaningful alt text

Faible profondeur d’imbrication des divs (91/100)

Avg div depth: 5.9, max: 9

Efficacité du contenu

Bon ratio de réduction de tokens (100/100)

98% token reduction (HTML→Markdown)

Bon ratio contenu/bruit (0/100)

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

Styles en ligne minimaux (0/100)

78/640 elements with inline styles (12.2%)

Poids de page raisonnable (100/100)

HTML size: 78KB

Visibilité IA

Possède un fichier llms.txt (100/100)

llms.txt exists and is valid

Possède un fichier robots.txt (100/100)

robots.txt exists

robots.txt autorise les bots IA (100/100)

All major AI bots allowed

Possède un sitemap.xml (100/100)

Sitemap found

Support Markdown for Agents (0/100)
&#10007; Accept: text/markdown &#10007; .md URL &#10007; <link> tag &#10007; Link header
A Content-Signal (robots.txt ou en-têtes HTTP) (0/100)
&#10003; robots.txt &#10003; HTTP header &#10007; Policy

Données structurées

Possède Schema.org / JSON-LD (100/100)

JSON-LD found: Organization, WebSite

Possède des balises Open Graph (100/100)

All OG tags present

Possède une meta description (100/100)

Meta description: 197 chars

Possède une URL canonique (100/100)

Canonical URL present

Possède un attribut lang (100/100)

lang="en"

Accessibilité

Contenu disponible sans JavaScript (100/100)

Content available without JavaScript

Taille de page raisonnable (100/100)

Page size: 78KB

Le contenu apparaît tôt dans le HTML (75/100)

Main content starts at 36% of HTML

{
  "url": "https://vast.ai",
  "timestamp": 1776792074480,
  "fetch": {
    "mode": "simple",
    "timeMs": 110,
    "htmlSizeBytes": 79818,
    "supportsMarkdown": false,
    "markdownAgents": {
      "contentNegotiation": false,
      "mdUrl": {
        "found": false,
        "url": null
      },
      "linkTag": {
        "found": false,
        "url": null
      },
      "linkHeader": {
        "found": false,
        "url": null
      },
      "responseHeaders": {
        "contentSignal": null,
        "xMarkdownTokens": null,
        "vary": null
      },
      "frontmatter": {
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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\">"
        }
      ]
    }
  ]
}

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