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URL analizzato

https://vast.ai

Analizza un altro URL

Punteggio AI-Ready

71 / C

Discreto

su 100

Risparmio di token

Token HTML 25.181
Token Markdown 477
Risparmio 98%

Dettaglio del punteggio

HTML Semantico 75/100
Efficienza dei contenuti 55/100
Scopribilità IA 55/100
Dati Strutturati 100/100
Accessibilità 93/100

Protocolli emergenti

0 di 3 rilevati

Endpoint well-known cercati dagli agenti IA. Rilevato significa che un agente può scoprire e connettersi automaticamente al tuo servizio.

  • 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

La tua pagina ha un basso rapporto tra contenuto reale e HTML totale. Gran parte del peso della pagina è markup, script o stili anziché contenuto.

Come implementare

Sposta i CSS in fogli di stile esterni, rimuovi gli stili inline, minimizza JavaScript e assicurati che l'HTML si concentri sulla struttura del contenuto.

Il tuo sito non supporta Markdown for Agents. Questo standard Cloudflare permette agli agenti IA di richiedere contenuti in formato markdown, riducendo l'uso dei token di ~80%.

Come implementare

Implementa uno o più: (1) Rispondere a Accept: text/markdown con contenuto markdown. (2) Servire URL .md (es: /pagina.md). (3) Aggiungere tag <link rel="alternate" type="text/markdown">. (4) Aggiungere header HTTP Link per la scoperta 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# "}] }'>

Nessuna direttiva Content-Signal trovata. Queste indicano agli agenti IA come possono usare i tuoi contenuti (indicizzazione, input IA, dati di addestramento). La posizione consigliata è robots.txt.

Come implementare

Aggiungi Content-Signal al tuo robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Puoi anche aggiungerlo come header HTTP nelle risposte 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});"}] }'>

Molti elementi hanno attributi di stile inline. Questi aggiungono rumore per gli agenti IA che estraggono contenuti.

Come implementare

Sposta tutti gli stili inline in classi CSS nel tuo foglio di stile. Usa framework CSS utility come Tailwind se hai bisogno di molti stili unici.

La tua pagina si basa molto sugli elementi <div>. Elementi semantici come <section>, <nav>, <header>, <footer> e <aside> forniscono una struttura significativa per gli agenti IA.

Come implementare

Sostituisci i contenitori <div> generici con elementi semantici appropriati. Usa <section> per gruppi tematici, <nav> per la navigazione, <header>/<footer> per intestazioni e piè di pagina.

Alcune immagini non hanno testi alt descrittivi. Buoni testi alt aiutano gli agenti IA a comprendere il contenuto e il contesto delle immagini.

Come implementare

Aggiungi attributi alt descrittivi a tutte le immagini. Descrivi cosa mostra l'immagine, non solo 'immagine' o 'foto'. Per le immagini decorative, usa alt="" (vuoto).

Token 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)

Carica questo file come /index.md sul tuo server affinché gli agenti IA possano accedere a una versione pulita della tua pagina. Puoi anche configurare la negoziazione dei contenuti Accept: text/markdown per servirlo automaticamente.

La nostra raccomandazione

Scarica 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)

Il llms.txt completo richiede un'analisi dell'intero dominio (prossimamente)

Carica questo file come https://vast.ai/llms.txt nella radice del tuo dominio. Agenti IA come ChatGPT, Claude e Perplexity controllano questo file per comprendere la struttura del tuo sito.

Questo sito ha già un file llms.txt.

Formato valido
# 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 Semantico

Utilizza elemento article o main (100/100)

Has <main>

Gerarchia di intestazioni corretta (100/100)

Clean heading hierarchy

Utilizza elementi HTML semantici (25/100)

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

Testi alt delle immagini significativi (42/100)

10/24 images with meaningful alt text

Bassa profondità di annidamento div (91/100)

Avg div depth: 5.9, max: 9

Efficienza dei contenuti

Buon rapporto di riduzione token (100/100)

98% token reduction (HTML→Markdown)

Buon rapporto contenuto-rumore (0/100)

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

Stili inline minimi (0/100)

78/640 elements with inline styles (12.2%)

Peso della pagina ragionevole (100/100)

HTML size: 78KB

Scopribilità IA

Ha file llms.txt (100/100)

llms.txt exists and is valid

Ha file robots.txt (100/100)

robots.txt exists

robots.txt consente bot IA (100/100)

All major AI bots allowed

Ha sitemap.xml (100/100)

Sitemap found

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

Dati Strutturati

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

JSON-LD found: Organization, WebSite

Ha tag Open Graph (100/100)

All OG tags present

Ha meta descrizione (100/100)

Meta description: 197 chars

Ha URL canonico (100/100)

Canonical URL present

Ha attributo lang (100/100)

lang="en"

Accessibilità

Contenuto disponibile senza JavaScript (100/100)

Content available without JavaScript

Dimensione della pagina ragionevole (100/100)

Page size: 78KB

Il contenuto appare presto nell'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": {
        "present": false,
        "fields": [],
        "level": "none"
      },
      "level": "none"
    },
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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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